The invention relates to a radar measurement apparatus for determining distance to a surface of a medium or distance to another radar target in a pipe or tube, as such radar measurement apparatus is defined in the preamble of claim 1. Furthermore, the invention relates to a method for determining distance to a surface of a medium or distance to another radar target in a pipe or tube by means of a radar measurement apparatus, which works according to the principle of FMCW radar.
In process automation technology, field devices are often applied, which serve for registering and/or influencing process variables. Examples of such field devices are fill level measuring devices, mass flow measuring devices, pressure- and temperature measuring devices, etc., which as sensors register the corresponding process variables, fill level, flow, pressure, and temperature, respectively.
Referred to as field devices are, in principle, all devices, which are applied near to the process and deliver, or process, process relevant information.
A large number of such field devices are produced and sold by the firm, Endress+Hauser.
The fill level in a container or tank can be exactly measured with the help of radar measurement apparatuses based on FMCW radar. In the case of radar measurement in a pipe or tube, however, special effects occur, because the pipe or tube acts as a hollow conductor for the radar waves. Propagation of radar waves is different in hollow conductors.
An object of the invention is, consequently, to improve the accuracy of distance measurement by means of radar in a pipe or tube.
A radar measurement apparatus for determining distance to a surface of a medium or distance to another radar target in a pipe or tube works according to the FMCW principle and includes a radar transmission unit, which is designed to produce a radar transmission signal, which is frequency modulated according to the FMCW principle, and a radar receiving unit, which is designed to receive a radar received signal reflected on the surface of the medium or other radar target back in the pipe or tube, to convert the radar received signal by mixing with the radar transmission signal, or a signal derived therefrom, into an intermediate frequency signal and based on the so obtained intermediate signal to determine distance to the surface of the medium or to the other radar target in the pipe or tube. The radar receiving unit is designed to apply a phase correction to the phase of the intermediate signal and to produce a phase corrected intermediate frequency signal, wherein the phase correction is designed to lessen or to remove a dispersion dependent phase fraction in the phase of the intermediate signal and to add a phase fraction not dependent on dispersion effects. The radar receiving unit is designed based on the phase corrected intermediate signal to determine target frequency components in the intermediate frequency signal and based on the target frequency components to determine distance to the surface of the medium or distance to another radar target in the pipe or tube.
By applying the phase correction, the effects arising in the case of wave propagation in a pipe or tube as a result of dispersion are lessened or eliminated, while supplementally a non-dispersive phase fraction linearly rising with time is added by the phase correction. As a result of the phase correction, the target frequency components contained in the intermediate frequency signal can be better and more exactly evaluated than previously. Especially, the phase correction prevents a broadening and a distancing of the different frequency peaks in the frequency spectrum of the intermediate signal from one another. The frequency peaks are sharper and can be more exactly evaluated.
The invention will now be explained in greater detail based on a number of examples of embodiments presented in the drawing, the figures of which show as follows:
Principle of Fill Level Measurement in a Pipe or Tube by Means of Radar
Use of the sounding tube 102 offers a series of advantages for fill level measurement in the tank 100. Thus, the wall of the sounding tube 102 assures that even in the case of strongly agitated surface of the medium 101 within the tank 100, the surface within the sounding tube 102 remains comparatively quiet. Also, when foam formation happens within the tank, the foam scarcely influences the measuring in the sounding tube 102. In case a fill level measurement should be performed within a comparatively small containment, often there is not sufficient space available within the containment for a radar measuring device. For a sounding tube with comparatively small diameter, there is, in contrast, sufficient space present. The radar measuring device can then be placed outside of the containment. A further advantage is that the radar waves are concentrated by the sounding tube 102 on a comparatively small area. In this way, one obtains a stronger reflection signal. This is especially advantageous when the medium 101 is a liquid with a small dielectric constant, which has comparatively poor reflection characteristics. In the case of application of a sounding tube, one obtains even for such liquids a reflected signal of sufficient intensity. The application of a sounding tube also offers advantages when the medium is a poisonous or dangerous chemical. The sounding tube 102 enables installation of an additional ball valve, which seals the tank 100, when the radar measuring device 104 must be removed.
In this case, the tank 100 does not have to be emptied, before the radar measuring device 104 is disconnected.
Preferably, radar measurement according to the FMCW (Frequency Modulated Continuous Wave) principle is performed for determining the fill level.
Preferably, a radar measurement according to the FMCW (Frequency Modulated Continuous Wave) principle is performed for determining the fill level.
Distance Measurement by Means of Radar According to the FMCW Principle
In the case of distance measurement by means of radar according to the FMCW (Frequency-Modulated Continuous Wave) principle, a frequency modulated radar signal is transmitted in continuous wave operation and reflected on the respective target. The reflected signal is received and evaluated by the distance sensor.
The frequency fs(t) of the sent, transmission signal 213 rises as a function of time with the slope S:
fs(t)=f0+S·t (1)
The slope S is fixed by the frequency sweep Δf0 and the modulation period length T0:
The frequencies of the radar transmission signals lie in the range of, for instance, 4 GHz to 100 GHz. The frequency sweep Δf0 could be, for example, a number of GHz. The modulation period length could be selected, for example, from the range lying between, for instance, 0.1 msec and 5 msec. These data serve only for illustrating typical orders of magnitude. Solutions lying outside these ranges are possible.
As shown in
The reflected signal is received by the receiving port 205 of the distance sensor and fed to a receiving mixer 206. In the receiving mixer 206, the received signal is mixed with the instantaneously transmitted, transmission signal. The so produced mixer signal 207 is filtered by a sampling lowpass filter 208, which suppresses frequency components above a limit frequency. Sampling lowpass filter 208 limits the bandwidth of the mixer signal 207 before the digitizing. Moreover, the limit frequency establishes a maximum distance Rmax. The lowpass filtered, intermediate frequency signal 209 is sampled and digitized by an analog-digital converter 210. The so obtained, digitized, intermediate frequency signal 211 contains target frequency components for one or more targets, of which, in each case, an associated target distance can be determined. The digitized intermediate frequency signal 211 is fed to the digital signal processing unit 212 for evaluation, in order to determine the frequency components contained in the intermediate frequency signal.
Preferably, the digital signal processing unit 212 performs a Fourier transformation (Fast Fourier Transform, FFT) of the sample values, wherein the distances can then be directly determined from the locations of the peaks of the Fourier spectrum.
Distance sensors of the type shown in
Signal Propagation in the Free Field Case
When the transmission signal 213 is freely radiated (the so called “free field case”), then the signal propagates with the speed of light c. A part of the radiated transmission signal is reflected by the target 204 back to the distance sensor.
For the free field case, the travel time τ, which the signal requires for the distance from the transmitting unit to the target 204 and back to the receiving unit, can be expressed as follows:
In such case, R is the distance to the target and c the speed of light in air. The speed of light in air c depends on the speed of light c0 in vacuum via the relationship
wherein εr is the dielectric constant of air.
During the travel time τ required by the radar signal, the transmission signal 213 produced by the signal generator continues to rise, so that the frequency of the instantaneously radiated transmission signal is greater than the frequency of the received signal. The received signal 214 for the free field case delayed by the travel time τ is drawn dashed in
As a result of the travel time τ of the radar signal, a frequency difference occurs between transmission signal and received signal characteristic for the travel time τ, and this frequency difference is referred to as the target frequency ftarget. For the free field case, the target frequency ftarget can be derived from the slope S of the transmission signal and the travel time τ. For the free field case, the target frequency ftarget is then
Since the variables S and c are constant, there results in the free field case a direct proportionality between the target frequency ftarget and the associated distance R to the target. Consequently, the distance R to the target can be derived directly from the target frequency ftarget.
Signal Propagation in a Pipe or Tube
Propagation of the radar signal in a pipe or tube differs markedly from the propagation of the radar signal in the free field, because the wall of the tube constrains and guides the wave propagation. The pipe or tube acts as a round, hollow conductor for the radar signal.
Considering the conditions of the round hollow conductor, the differential equation for wave propagation in round hollow conductors can be established from the Maxwell equations. The solution of this differential equation is the Bessel functions, which describe the propagation of the radar signal in the round hollow conductor.
In such case, different modes result for signal propagation in a round hollow conductor. Referred to as modes are certain electrical and magnetic field configurations, which can propagate in the hollow conductor. Fundamentally, there are two different types of modes in the hollow conductor: the TEm,n modes (transverse electric) and the TMm,n modes (transverse magnetic). In the case of the TEm,n modes, the electrical field vector is oriented perpendicular to the propagation direction of the wave. In the case of the TMm,n modes, the magnetic field vector is oriented perpendicular to the propagation direction of the wave.
Characteristic for propagation of electromagnetic waves in hollow conductors is that the electromagnetic waves can only propagate in the hollow conductor when their frequency lies above a defined cutoff frequency fc. For electromagnetic waves with a frequency below this characteristic cutoff frequency fc, no wave propagation in the hollow conductor is possible. The cutoff frequency fc is different for each mode and can be calculated for each case.
For a TE mode TEm,n, the associated cutoff frequency fc,mn is:
In this equation, χ′mn is the n-th zero location of the derivative of the m-th Bessel function Jm(x), c is the speed of light in air, and D the diameter of the round hollow conductor (thus of the pipe or tube).
For a TM mode TMm,n, the associated cutoff frequency fc,mn is:
In this equation, χmn is the n-th zero location of the m-th Bessel-function Jm(x), c is the speed of light in air, and D the diameter of the round hollow conductor (thus of the pipe or tube).
In the free field case, radar waves propagate with the speed of light c in air. In the free field case, the propagation velocity, consequently, does not depend on the frequency of the radar signal.
In the hollow conductor, the individual modes propagate with a respective group velocity vg, which depends on the speed of light c in air and the factor βrel,mn:
vg=c·βrel,mn (7)
The factor βrel,mn is as follows:
In such case, fc,mn is the cutoff frequency of the respective mode and f the frequency of the radar signal. The factor βrel,mn has values in the range between 0 and 1.
The group velocity vg of a mode in the hollow conductor can thus be expressed as follows:
The antenna structure for in-coupling the radar signal into the pipe is preferably so designed that the energy is applied essentially only for exciting a single mode.
Since each mode has a different propagation behavior, one would like to prevent the forming of many different modes in radar measurement in pipes or tubes. False or blurred echos, which result from the different travel times of the different modes superimposed on one another, would otherwise occur. Especially advantageous is the exciting of the mode TE01, because the field configuration of this mode is especially well suited for propagation in a pipe or tube.
The case will now be discussed, in which essentially only a single mode is excited to any significant extent. Later, the case will be discussed, in which the excitation energy is divided among a number of different modes, each of which propagates with a different propagation behavior. Such case is later more exactly discussed when multimodal dispersion is taken up.
For illustrating the propagation behavior of radar signals in a hollow conductor, the group velocity vg in a hollow conductor is plotted in
Shown on the horizontal axis of
In the case of fill level measurement in a pipe or tube, a frequency modulated radar signal is coupled into the pipe or tube according to the principles of FMCW radar. Since the frequency of the coupled FMCW radar signal varies corresponding to the ramp shown in
Phase Effects in the Intermediate Signal Brought about by Dispersion
The transmission, sent signal of FMCW radar in the form a frequency ramp can be described as in Equation (1) by its instantaneous frequency fs(t):
fs(t)=f0+S·t (1)
In such case, f0 is the starting frequency and S the slope of the frequency ramp. The frequency rises beginning at the starting frequency f0 linearly with the slope S.
The slope S is established corresponding to Equation (2) by the frequency sweep Δf0 and the modulation period length T0:
In general, the transmission signal can be defined by its instantaneous phase φs(t):
s(t)=cos(φs(t)) (10)
The instantaneous phase φs(t) can be calculated by integrating the instantaneous frequency fs(t):
φs(t)=2π∫0tfs(
The transmission signal travels within the pipe or tube to a radar target. The radar target can be e.g. the surface of a liquid or a bulk good. The transmission signal is reflected on this radar target at the distance R and then travels back to the radar measuring device. In this way, a frequency dependent delay time τ(f) results, which due to the linearly increasing ramp behavior can also be written in simple manner as a function of time t:
The received signal is:
For producing the intermediate signal, the transmission signal is mixed with the received signal in the receiving mixer 206 shown in
This equation brings together the dispersive effects on the phase of the intermediate signal, as caused by the frequency dependence of the group velocity. In such case, all time independent phase contributions are combined in the start phase Δφ.
Determining the Start Phase Δφ
All time independent phase contributions to the phase φz(t) of the intermediate signal are combined in the start phase Δφ. The start phase Δφ is determined as follows. The start phase Δφ can be estimated from the difference of the phase φs(t) of the transmission signal and the phase φe(t) of the received signal at the point in time t=0.
The phase φs(t) of the transmission signal can be written corresponding to Equation (11) as:
φs(t)=2π∫0tfs(
As regards the phase φe(t) of the received signal, an estimation is performed for determining the start phase Δφ. For determining the start phase Δφ, it is assumed that the travel time τ is constant and does not depend on the frequency. For determining the start phase Δφ, thus as in the free field case, the dispersion is neglected. This approach is, strictly taken, wrong for a pipe or tube, for in a pipe or tube, the propagation velocity and therewith also the travel time τ depend on the frequency of the radar signal. Nevertheless the following expression, in the case of which a constant, frequency independent, travel time τ is set, can be used for estimating the start phase Δφ of the intermediate frequency:
For the start phase Δφ, there results then:
Correspondingly, Equation (12) becomes for τ(0):
Therewith, the start phase φz(0) becomes:
Deriving a Dispersion Correction
The intermediate frequency signal z(t) is interpretable after a Fourier transformation as the distance response of the radar system. The non-linear phase results in the case of the Fourier transformation in a smearing of the target response in the spectral range.
Options for evaluation of the intermediate signal with dispersion influence as well as attention to other sources of error will now be presented.
In the forms of embodiment of the invention, it is provided that a correction of the dispersion influence on the phase is made before additional evaluation. Then, for example, a discrete Fourier transformation, respectively a FFT, can be taken into consideration for the evaluation, while no longer having to cope with a considerable broadening and smearing of the peak in the spectral range.
To this end, an additive phase correction will now be derived, which is applied to the phase of the intermediate signal before performing the discrete Fourier transformation, respectively FFT. This phase correction has, on the one hand, the goal of lessening, respectively eliminating, the part of the phase according to Equation (16) caused by dispersion. Moreover, a phase is added rising linearly with time, such as would occur in the case of a system with constant, frequency independent, group velocity vconst. In such case, the diameter D of the hollow conductor, respectively the cutoff frequency fc resulting therefrom, enters into the relationship. The cutoff frequency derived from the measured diameter D and burdened with measurement uncertainty is represented in the following as {circumflex over (f)}c. Insofar, the following phase correction results:
The first term
serves for lessening, respectively eliminating, the phase behavior caused by dispersion.
The second term
serves for adding a phase increasing linearly with time, such as would result in the case of a constant, frequency independent, group velocity vconst. The constant, frequency independent, propagation velocity vconst can be fixed freely within certain limits. For example, vconst can be fixed as the group velocity at the frequency f0: vconst=c·βrel(f0) or vconst can be fixed as the speed of light c in air: vconst=c
Dependence of the Dispersion Correction on Distance R to the Target
Equation (21) shows that both the first term as well as also the second term of the phase correction φz,corr(t) depend on the distance R to the target, which at the point in time of determining the phase correction is still not known. The distance R to the target must still be determined.
In order to be able to perform the phase correction φz,corr(t) described by Equation (21) in spite of this, there are different options:
A first option is to estimate the distance R to the target by evaluating the non-dispersion corrected, intermediate signal delivered by the receiving mixer 206. The so obtained distance R to the targetestimated is, indeed, not exact, but it can, nevertheless, be taken into consideration for a first determination of the phase correction φz,corr(t).
A second option for estimating the distance to the target is possible, when the fill level of a containment is determined cyclically in regular time intervals. In this case, one can proceed on the assumption that the fill level is changing slowly and continuously. Therefore, two sequentially ascertained fill level measured values lie relatively near to one another. Insofar, an earlier fill level measured value can serve as an estimation for the current fill level measured value. Based on this assumption, an earlier fill level measured value can be used as estimated value Restimated for the distance to the target.
Iterative, Mutually Dependent Determination of the Distance R to the Target and the Phase Correction φz,corr(t)
A yet higher accuracy can be achieved by using an iterative method. In such case, again, an estimated value of the distance to the target serves as starting point for determining the phase correction φz,corr(t). The phase correction φz,corr(t) is taken into consideration for correction of the intermediate signal, and starting from the phase corrected intermediate frequency signal, for example, by means of FFT, an improved, more accurate value of the distance R to the target can be ascertained. With help of this more exact value of R, the phase correction is determined anew and taken into consideration for correction of the intermediate signal. The so obtained phase corrected intermediate frequency signal can then, in turn, serve for determining the target distance R with yet better accuracy, etc. Insofar, the distance R to the target and the phase correction φz,corr(t) can be determined mutually alternatingly, iteratively. In the course of a number of iterations, the distance R to the target converges to its actual value and also the phase correction φz,corr(t) becomes always more exact, so that dispersive effects are always better eliminated. By this iterative procedure, one obtains, even after just a few iterations, very exact values for the distance R to the target and the phase correction φz,corr(t).
Evaluation of the Phase Corrected Intermediate Signal
If one subtracts the phase correction term φz,corr(t) from the measured phase, then there remains ideally (in the case of faultlessly known tube or pipe diameter), linearly rising with time, a phase, which is brought about by the second term of Equation (21). This linear phase can be evaluated simply with the Fourier transformation:
In this way, one obtains the target frequency component ftarget:
The distance R to the target can then be derived from the so ascertained target frequency component:
For evaluation, again exactly that propagation velocity vconst is used, which was already used in Equation (21) for producing the linearly increasing, second phase term. When thus vconst=c·βrel(f0) has been set, then again vconst=c·βrel(f0) is also used for evaluation. When the speed of light c was used as vconst, vconst=c, then vconst=c is also used again for evaluation.
No Change of the Start Phase φz(0) by the Phase Correction
Based on Equation (21), one can see that for t=0 the start phase φz(0) is not changed by the phase correction. This start phase can thus likewise be read off from the result of the complex Fourier transformation at the position of the magnitude maximum in the spectral range (modulo 2π). For the phase φz(0) it holds, consequently, further, corresponding to Equation (20):
Application of the dispersion correction does not degrade the phase information of the intermediate signal. Also, after application of the dispersion correction to the phase, the phase information can still be utilized in the context of additional signal evaluation. Insofar, after performing the phase correction, both the magnitude as well as also the phase of the intermediate signal can be used for further evaluation. In such case, it is to be noted that the phase reacts clearly less sensitively to small disturbances, while a pure evaluation of the magnitude spectrum already shows mentionable deviations in the exact position determination of the maximum.
Detailed Course of the Method for Ascertaining Distance to the Target and Dispersion Correction
The flow diagram of
First, in step 400, which is also referred to as the “DC remove” step, the DC portion of the intermediate signal is removed. There results a real time signal, which has different frequency components, however, no longer a DC portion. This signal is subjected in the next step 401 to a Hilbert transformation. With the help of the Hilbert transformation, real and imaginary parts of a complex valued signal can be mapped to one another. In the following case, the Hilbert transformation in step 401 is used to produce for the real intermediate frequency signal an associated imaginary part, in order, in this way, to be able to provide a complete, complex, time signal. The following operations are then performed on this complex valued, time signal.
In a following, optional step, a device-specific correction curve is applied to the signal in the mixing stage 402. By application of the device-specific correction curve to the signal, the specific transmission characteristics of the respective radar measuring device can be taken into consideration. The device-specific correction curve is produced in step 403 and registers the transfer behavior of the radar measuring device, which includes the HF-module, the mode changer with HF antenna, as well as various connection cables, line portions and plug connectors.
In the following, two different options are presented for illustrating how these devices-specific properties of the radar measuring device can be registered and taken into consideration.
First Option for Device Correction: Performing a Reference Measurement
For registering the transmission characteristics of the radar measuring device, a reference measurement zref(t) is performed with a known target. After filtering out all undesired targets, the reference measurement zref(t) is upgraded with the assistance of the Hilbert transformation to a complex valued, analytical signal. Therefrom, then both the phase ∠H{zref(t)} of the reference target response as well as the amplitude curve |H{zref(t)}| of the reference target response can be derived. Especially, the phase ∠H{zref(t)} can be taken into consideration for device-specific correction of the complex valued intermediate signal:
In this way, the specific, special features of the respective measuring system can be taken into consideration with the assistance of the reference measurement zref(t). In such case, it proves to be advantageous to perform exclusively a correction of the phase, not, however, the amplitude. If one would perform a correction of the amplitude, then problems could arise due to zero points in the transfer function; moreover, noise in regions of small transmission would be increased. However, the amplitude curve |H{zref(t)}| ascertained from the reference measurement can serve as a weighting factor in the evaluation. In such case, a lesser transmission factor magnitude, which corresponds to a smaller signal to noise ratio (SNR), would result in a smaller weighting of the measured value.
Alternatively to performing a reference measurement, a second, somewhat simpler option for performing a device-specific correction will now be discussed.
Second Option for Device Correction: Dividing the Measuring Path into a Non-Dispersive Path Portion and a Dispersive Path Portion
In the case of a real radar measuring system, the radar waves travel a part of the total distance R while still within the sensor, which includes an HF module, a mode changer, an antenna, as well as various connection cables, line portions and plug connectors. In this subsection, the waveguide dispersion effects can be neglected, since they are much weaker than in the pipe or tube. This subsection characterized by a non-dispersive propagation behavior is referenced with Rnon. The remaining part of the total distance R is traveled in the pipe or tube, in which case the propagation is burdened with dispersion. This subsection of the transmission path is referenced with Rdisp. Thus:
R=Rnon+Rdisp (28)
The delay time τ(t) in the case of passing through the complete transmission path is
Therewith, there results for the dispersion correction:
This equation corresponds exactly to Equation (21), wherein instead of R the dispersion burdened path portion Rdisp=R−Rnon is used.
By this dividing of the total measuring path into a non-dispersive path portion and a path portion characterized by dispersion, the device-specific, special features can be taken into consideration in simple manner.
After the performing the device-specific correction in the mixing stage 402, a dispersion correction is applied to the intermediate frequency signal in the mixing stage 404 following thereon. Then in the following three steps 405, 406, 407, the distance R to the target is ascertained. In step 405, a “windowing” of the conditioned, time discrete, intermediate signal is performed. This means that the values of the complex valued signal are weighted with a window function, in order to prevent undesired effects, which are brought about by the constraint of the observation window. In step 406, a fast Fourier transformation (Fast Fourier Transform, FFT) is performed. As result of the Fourier transformation, one obtains a complex frequency spectrum, which has a frequency peak for each target frequency component contained in the intermediate frequency signal. In step 407 following thereon, the peaks in the frequency spectrum are detected. From the so obtained target frequency components, then the distance R to the target is derived. In step 408, it is ascertained whether more iterations need to be performed for exact determination of the distance to the target. As soon as the ascertained distance to the target no longer undergoes significant changes, the iterations can be stopped.
In case another iteration is performed, the distance Rn to the target ascertained in the n-th iteration serves as starting point for the new calculation of the dispersion correction in step 409. One obtains corresponding to Equation (21) for the n-th iteration the phase correction φz,corr,n(t), which is used in the mixer stage 404 for phase correction of the intermediate signal. This phase correction can be written as:
φc(t)=φz(t)−z,corr,n(t) (31)
In such case, φz(t) is the phase of the intermediate signal before the correction, φz,corr,n(t) is the phase correction determined in step 409, and φc(t) is the corrected phase of the intermediate signal.
Alternatively to the above description, in the case of which a phase correction term is added to (respectively, subtracted from) the phase of the intermediate signal, the phase correction can also be expressed in quotient form. In such case, the complex valued, measured, intermediate frequency signal is divided by a complex correction signal, in order, in this way, to obtain a phase corrected, intermediate frequency signal:
In this equation, H{zmeasured(t)} is the Hilbert transform of the measured, real, intermediate signal zmeasured(t). H{zcorr,R
The phase corrected, intermediate frequency signal {circumflex over (z)}phase corrected,n(t) is obtained as the real part of the quotient of H{zmeasured(t)} and H{zcorr,R
The iteration shown in
The iterations are continued until in step 408 it is detected that the ascertained distance to the target no longer changes significantly. In this case, both the distance to the target as well as also the phase correction have converged to their ultimate values. This condition for terminating the iterations is shown somewhat more exactly in the following pseudocode:
R:=starting value
DO
As long as the difference between the currently ascertained distance to the target and the distance to the target ascertained one iteration earlier is greater than a predetermined epsilon, the iteration is continued. As soon as the predetermined epsilon is subceeded, the iteration is stopped. There results in step 410 the distance to the target as well as the dispersion correction with the desired accuracy.
Alternative Procedure: Iterative Determining of Dispersion Correction and Distance to the Target by Means of the Phase Slope Method
In an optional step following thereon, a device-specific correction curve is applied to the signal in the mixer stage 602. With the help of this device-specific correction curve, specific, special features of the radar measuring device can be taken into consideration, features caused, among other things, by the HF module, the mode changer, the antenna, as well as HF cables, connecting pieces and plug connectors. Different options are available for producing this device-specific correction curve in step 603 and these have already been discussed in connection with the description of
In step 604, the so-called “windowing”, the values of the complex valued signal are weighted with a window function. The weighted values serve then as input variables for the fast Fourier transformation (Fast Fourier Transform, FFT) performed in the step 605 following thereon. As result of the fast Fourier transformation, one obtains the frequency spectrum of the intermediate signal. In the step 606 following thereon, the target frequency components contained in this frequency spectrum are detected. In such case, each frequency peak in the frequency spectrum is associated with a radar target. Of special interest for fill level measurement is, in such case, the frequency peak, which was brought about by the reflection of the radar signals on the surface of the liquid, respectively the medium. This frequency peak relevant for the fill level measurement is identified in step 606.
In the step 607 following thereon, then a digital bandpass filter is defined, which is designed to pass from the frequency spectrum the frequency peak caused by the surface of the medium and to suppress other disturbing frequency peaks. For this, the lower limit frequency as well as the upper limit frequency of the bandpass filter are so fixed that the frequency peak brought about by the surface of the medium lies within the passband of the bandpass filter. Disturbing frequency components, which lie below the lower limit frequency or above the upper limit frequency of the bandpass filter, are filtered out. As result of the bandpass filtering performed in step 607, one obtains a frequency spectrum, which then contains essentially only a single frequency peak, namely the frequency peak relevant for the fill level measurement, thus that frequency peak brought about by reflection on the surface of the medium.
This bandpass filtered frequency spectrum is then transformed by means of an inverse Fourier transformation back into the time domain. For this, in step 608, a windowing of the bandpass filtered frequency spectrum is performed. In such case, the values of the bandpass filtered frequency spectrum are weighted with a window function. Then, in step 609, an inverse fast Fourier transformation (Inverse Fast Fourier transform, IFFT) is performed. As a result of the inverse fast Fourier transformation, one obtains a complex time signal, which essentially contains only a single frequency component, namely the frequency component, which has arisen from the reflection of the radar signal on the surface of the medium. In the next step 610, which is also referred to as a “phase unwrapping” step, the phase is reconstructed from the complex valued time curve. Since the complex valued time signal contains essentially only one frequency component, namely the frequency component caused by the reflection on the surface of the medium, essentially a continuous phase increasing linearly with time results. In reconstructing the phase from the retransformed, complex valued, time signal, it is especially important to prevent phase jumps, in order so to reconstruct the linearly growing phase correctly.
However, the reconstructed phase difference still includes distortions, which are caused by the dispersion in the case of the wave propagation in the pipe or tube. These dispersive effects are lessened, respectively eliminated, in the mixer stage 611 following thereon. In the mixer stage 611, there is impressed on the time signal a phase correction φz,corr, which is given by the above derived Equation (21):
This phase correction is designed to remove dispersion effects completely or partially. For the so obtained phase corrected time signal, in the following step 612, a linear regression of the phase is performed. The phase φc(t) of the phase corrected time signal rises essentially linearly with time:
Thus, the phase slope
is proportional to the distance R to the target.
The farther away the target, the steeper is the slope. By means of the linear regression in step 612, the distance R to the target can, consequently, be directly derived.
In step 613, it is checked whether the ascertained distance R to the target is already sufficiently exact, or whether, for additionally increasing the accuracy, more iterations should be performed. In case more iterations are performed, the just ascertained distance R to the target is used as starting point for a renewed determining of the dispersion correction φz,corr in step 614. The so determined phase correction is applied to the time signal in the mixer stage 611, and for the so obtained phase corrected signal then, again, a linear regression analysis is performed for ascertaining the phase slope. Now a more accurate value of the distance to the target can be derived from the phase slope, in order to form a basis for a new determination of the dispersion correction in step 614. By iterative determining of phase slope, distance to the target and dispersion correction, these variables can be determined with a desired accuracy. As soon as it is ascertained in step 613 that the distance to the target has been ascertained with sufficiently high accuracy, the iterations are stopped. As a result, one obtains in step 615 a very exact value of the distance to the target, thus the distance between the radar measuring device and the surface of the medium.
Superimposing a Number of Modes with Different Propagation Behaviors
To this point, the case has been discussed, in which essentially only a single mode is excited to any significant extent. Now the case will be discussed, in which the excitation energy is divided between a number of different modes, each of which propagates with a different propagation behavior in the pipe or tube. Thus, a mixture of a number of modes is excited, and the in-coupled energy is distributed among a number of modes. Each of the excited TEm,n and TMm,n modes is characterized by a different propagation behavior. For instance, each of the excited TEm,n and TMm,n modes possesses its own cutoff frequency {circumflex over (f)}c,mn.
Corresponding to Equation (21), an associated phase correction φz,corr,j(t) can be given for each excited mode j as follows:
In such case, {circumflex over (f)}c,mn is the respective cutoff frequency of the mode j. The first term serves to lessen, respectively eliminate, the dispersive effects of the respective mode j. The second term serves to add a phase rising linearly with time.
The phase corrections for the different excited modes are then phase correctly summed up. The individual correction signals zcorr,j(t) for the individual modes result as follows:
zcorr,j(t)=cos(φz,corr,j(t)) (35)
The entire correction signal zcorr,sum(t) is obtained from the weighted addition of the individual correction signals zcorr,j(t) for the individual modes:
The individual correction signals zcorr,j(t) are weighted with associated amplitude weighting factors wj corresponding to their contribution to the total signal. The so obtained total correction signal zcorr,sum(t) is designed to lessen or to remove for each mode the dispersion dependent phase fraction caused by the respective mode in the phase of the intermediate signal. Moreover, there is added to the phase a non-dispersion dependent term, which rises linearly with time. The correction signal zcorr,sum(t) can then be used for correction of the measured signal:
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PCT/EP2014/064572 | 7/8/2014 | WO | 00 |
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WO2015/018586 | 2/12/2015 | WO | A |
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