The present invention relates generally to digital communication systems, and more particularly to digital tuning in wireless systems.
CORDIC (for COordinate Rotation DIgital Computer) is a simple and efficient algorithm to calculate hyperbolic and trigonometric functions. It is commonly used when no hardware multiplier is available or desirable (e.g., simple microcontrollers and FPGAs).
Due to the efficiency of its hardware realization, the CORDIC algorithm is used in digital hardware. One such application is digital tuning in wireless systems. In the past, CORDIC based tuners were limited by the fact that their frequency tuning resolution was a direct function of the tuner's effective sample rate and the phase accumulator size (i.e., Fs divided by a power 2).
Due to this limitation, desirable tuning steps (e.g., 1 Hz) might not be exactly realizable, leading to frequency errors in the tuned result. This frequency error can be particularly troublesome within the context of an amplifier system that makes use of a digital predistorter and a feedback loop.
In accordance with one embodiment, a method is disclosed that includes selecting a sampling frequency and a tuning resolution frequency. This method further includes determining a wordlength of the phase accumulator, a numeric representation of the phase range, and a reduced representable value of a phase accumulator. In addition, this method may include operating the phase accumulator, where the phase accumulator creates an output phase accumulator signal. This method also includes adjusting the angle of the output phase accumulator signal, wherein the output phase accumulator signal is adjusted based upon the operation of the phase accumulator, and wherein adjusting the angle of the output phase accumulator signal creates an adjusted output phase accumulator signal and operating a CORDIC module, and wherein the CORDIC module performs operations upon the output phase accumulator signal based upon the parameters of the phase accumulator.
In accordance with another embodiment a system is disclosed that uses a phase accumulator that accepts a phase signal input. This phase accumulator outputs a phase accumulator signal that allows for the system to perform substantially exact frequency tuning. In addition, this system includes an adjust angle module that accepts the phase accumulator signal and an in-phase (I) signal and quadrature (Q) signal. This adjust angle module generates an angle adjusted I signal, an angle adjusted Q signal, and an angle adjusted phase signal. Finally, the system includes a CORDIC module that includes at least one CORDIC stage and accepts the angle adjusted I signal, the angle adjusted Q signal, and the angle adjusted phase signal and creates a final I signal and a final Q signal.
In yet another embodiment a method for operating a phase accumulator is disclosed which includes adding a phase and a feedback input to create an added signal, delaying the added signal to create a delayed signal, analyzing the delayed signal to determine if the signal is within an acceptable range, and if the signal not within an acceptable range correcting the signal to be within the acceptable range. This method further includes outputting the delayed signal that is within the acceptable range.
Other technical features may be readily apparent to one skilled in the art from the following figures, descriptions, and claims.
For a more complete understanding of the present disclosure, and the advantages thereof, reference is now made to the following descriptions taken in conjunction with the accompanying drawings, wherein like numbers designate like objects, and in which:
In this example, the system 10 forms part of a larger communications network (not shown) transmitting signals into the system 10 and receiving signals from the system 10. Due to the efficiency of its hardware realization, the CORDIC algorithm finds many applications in digital hardware. One such application is digital tuning in wireless systems (e.g., multi-standard channelizer ASICs). In the past, CORDIC based tuners were limited by the fact that their frequency tuning resolution was a direct function of the tuner's effective sample rate and the phase accumulator size. Consequently, desirable tuning steps (e.g., 1 Hz) might not be exactly realizable, leading to frequency errors in the tuned result. This frequency error can be particularly troublesome within the context of an amplifier system that makes use of a digital predistorter (and its associated training algorithms). Disclosed are systems and methods that allow for the enhanced and substantially exact CORDIC-based tuning of system 10. System 10 allows for the precise tuning of any system to any frequency.
The embodiment of system 10 shown in
Also in the embodiment shown in
The adjust angle module 14 receives and adjusts the I and Q source signals and the output phase signal. These adjusted I, Q, and output phase signals are then input to the CORDIC tuner 15 for processing and generation of translated signals. CORDIC stage fifteen 18 generates and outputs final translated I and Q signals to the Gain Adjust Module 20. The Gain Adjust Module 20 adjusts the gain of the final translated I and Q signals and generates final output I and Q signals. The Gain Adjust Module 20 normalizes any gain created by the CORDIC units. The output phase signal from each CORDIC stage may be dissimilar based upon the function performed by that CORDIC stage.
In the embodiment of
The enhanced phase accumulator 12 maps the phase range of pi to −pi to a range of Acc′max to −Acc′max. The range Acc′max to −Acc′max still represents the entire range of −pi to pi, but may be a mapping with fewer values in between −pi to pi than conventional mapping. For instance, in a normal mapping, pi may equal 1. The enhanced phase accumulator 12 may reduce pi to another number less than 1, for example 0.7. In this example, the “old” range might be 1 to −1, while the “reduced” range might be 0.7 to −0.7.
In most cases, there are “steps” between the max and min values that are used by a phase accumulator, and the magnitude between steps may be different. If each “step” had a 0.125 increment, the “reduced range” would not have all of the values of the “old” range (e.g., 0.8, 0.9, 1, −0.8. −0.9). An illustration of the reduced range is shown in
The CORDIC stage zero module 16 and the CORDIC stage fifteen 18 (and those stages in between) perform functions, including, but not limited to hyperbolic and exponential functions, logarithm, trigonometric, multiplication, division, and square root functions. A discussion of the applications of these functions to the present disclosure follows below. The CORDIC may have any number of stages, and the inclusion of a zero and fifteenth stage in
In the CORDIC algorithm the realizable rotation angles are fundamentally limited to an approximate range of +/−1.74 radians. Therefore, if the desired angle of rotation is outside of this range, then the input and the desired rotation angle should be adjusted such that the required angle of rotation is reduced to within the realizable range. Adjust angle module 14 is any device capable of adjusting a signal consistent with requirements of the CORDIC algorithm, and adjust angle module 14 will be adjusted to take into consideration Acc′max (pi) and −Acc′max (−pi). This can be accomplished in accordance with equations (1) and (2).
The CORDIC algorithm provides a hardware efficient coordinate rotation function by decomposing the desired rotation angle into a sum of monotonically decreasing angles, whose values are chosen such that their corresponding arctangent is a power of 2. In this way, the overall rotation can be partitioned into a number of stages, each consisting of shifts and addition/subtraction operators only.
The CORDIC algorithm has an inherent gain of approximately 1.64. Therefore, the output of the CORDIC should be adjusted accordingly by a gain of approximately 0.607. This gain compensation may be implemented or realized using a CSD multiplier (i.e., fixed shifts and additions only).
Given that frequency is the derivative of phase, the rotation angle provided to the CORDIC stages should update continuously by a specified fixed amount in order realize the desired frequency translation. This is accomplished by using a “phase accumulator.” The phase accumulator may be implemented or realized as a pure integrator that updates every sample period as shown in equation (3).
−Accmax≦θ<Accmax (3)
In equation (3) Accmax defines the maximum representable value of the accumulator. When using fractional fixed-point arithmetic, Accmax=1. The CORDIC stages incorporate a factor of pi divided by Accmax in their internal processing such that one effectively obtains a phase angle variation as illustrated by equation (4).
−π≦θ<π (4)
The adder in the phase accumulator is set to “wrap” when overflow occurs (i.e., the summation result exceeds the representable fixed-point numeric range). In this way, the phase accumulator exhibits the desired modulo behavior inherent in angle arithmetic (e.g., an angle of 42° is equivalent to an angle of 60°) in a hardware efficient manner.
The “phase increment” is a constant value that determines the amount of frequency translation (ftune) that occurs. This is defined in accordance with equation (5).
In equation (5) Fs is the sampling frequency of the input data stream. From equation (5), it can be seen that the step size between possible tuning frequencies, referred to as the tuning resolution (fres), is a function of the smallest representable phase increment value (θincmin). In a typical implementation, the ratio of the θincmin and Accmax is directly proportional to the wordlength of the accumulator (N) as shown in equation (6).
Using equation (5) the tuning resolution (fres) may be determined to be consistent with equation (7).
Substituting equations (6) and (7) yields equation (8).
fres=2−NFs (8)
For example, if Fs=30 MHz and the accumulator has a wordlength of N=25, then fres=0.894069671630859375 Hz. Similarly, if N=24, then fres=1.78813934326171875 Hz. Fs will be a specified design parameter and will typically not be a power of 2. In this way, the achievable tuning resolution will not necessarily be the desired value. Consequently, an exact desired tuning resolution (e.g., to be an integer) may not be possible within the context of the typical CORDIC based tuner. For instance, if a tuning resolution of exactly 1 Hz was desired with Fs=30 MHz, this would not be possible. The nearest achievable tuning resolutions for a typical CORDIC based tuner would be 0.894069671630859375 Hz or 1.78813934326171875 Hz.
In order to overcome this tuning frequency resolution limitation, fres should become a design parameter. In order to accomplish this, the full range of the phase accumulator Accmax can be restricted to a smaller range of values bounded by Acc′max. The value of Acc′max for a desired fres can be obtained from equation (7), by solving for Accmax and replacing it with Acc′max in accordance with equation (9).
Note that the choice of N, which affects θinc min and/or Accmax depending on numeric representation, should be chosen such that Accmax>Acc′max. Also, this approach requires that Acc′max is representable in the word length and numerical format defined in the accumulator. In this way, the mapping of the phase accumulator output has been modified as illustrated in
First signal adder 52 adds the phase output signal with the phase increment signal to generate a first added signal for input to a sample delay 54. The delay 54 outputs a first delayed signal for input to a multiplexer 64, a second adder 60, a third adder 62, a first comparator 56, and a second comparator 58.
In one example, the phase increment signal when added to the phase output signal (output from multiplexer 64) has a phase that is less than Acc′max and greater than −Acc′max. In this example, the signal output from delay 54 will be output from the accumulator 12a. In this example, the first comparator 56 outputs zero (the signal from the sample delay 54 is smaller than Acc′max) and the second comparator 58 outputs zero (the signal from sample delay 54 is larger than −Acc′max). The input select (00) instructs the multiplexer 64 to select the signal output from the delay 54.
In a second example, the phase increment signal when added to the phase output signal (output from the multiplexer 64) has a phase that is greater than Acc′max. In this example, the signal output from the delay 54 is added with −2Acc′max in the third adder 62, and the multiplexer 64 will transmit the signal from the third adder 62. Multiplexer 64 outputs this signal because the first comparator 56 registers one (the signal from sample delay 54 is larger than Acc′max) and the second comparator 58 registers zero (the signal from sample delay 54 is larger than −Acc′max). This results in an input select (01) to the multiplexer 64, and the multiplexer 64 therefore selects the signal from the third adder 62.
In a third example, the phase increment signal when added to the phase output signal (output from the multiplexer) 64 has a phase that is less than Acc′max and less than −Acc′max. In this example, the signal output from delay 54 is added with 2Acc′max in the second adder 60, and the multiplexer 64 will transmit the signal from the second adder 60. This is a result of the first comparator 56 registering zero (the signal from sample delay 54 is smaller than Acc′max) and the second comparator 58 registering one (the signal from sample delay 54 is less than −Acc′max). This results in an input select (10) to the multiplexer 64, and the multiplexer therefore selects the signal from the second adder 60.
As can be seen in
In the accumulator 80, the initial phase increment signal magnitude is input to a first adder 82 and a second adder 86. The phase increment signal input to the first adder 82 is first made negative (not shown) and added to 2Acc′max. The output of the first adder 82 is input to a first delay 84 to generate a first delayed signal.
A third adder 88 combines the output from the first delay 84 with a second delayed signal from a second delay 92 to generate a second added signal. The second added signal is input to a first multiplexer 90. The third adder 88 controls the first multiplexer 90 through a borrow out bit indicating if the first multiplexer 90 should propagate the second added signal or a third added signal created by the second adder 86. In the event the borrow out bit from the third adder 88 is zero, the first multiplexer 90 propagates the second added signal. In the event the borrow out bit from the third adder is one, the first multiplexer 90 will propagate the signal from the second adder 86.
The output of the first multiplexer 90 is input to the second delay 92 to generate the second delay signal. The second delay signal is fed back to the second adder 86, the third adder 88, and input to a fourth adder 94. The fourth adder 94 combines the second delay signal and with −Acc′max to create a fourth added signal. The fourth added signal is input to a third delay 96 that generates a third delay signal. The third delay signal is input to a multiplier 98 and a second multiplexer 100. The multiplier 98 multiplies the fourth added signal by negative one. If the initial phase increment sign was positive, the second multiplexer 100 transmits the signal output from the third delay 96. If the initial phase increment sign was negative, the second multiplexer 100 will transmit the signal from the multiplier 98.
It is understood that relative to the embodiment shown in
In order to determine the N value for the phase accumulator 12, parameters for the phase accumulator 12 may be chosen. The parameters of the new phase accumulator are, in one specific example, selected to be a sampling frequency of Fs=30 MHz, a desired tuning resolution of 1 Hz, and a phase accumulator based on a fractional arithmetic of 1. Therefore equation (10) may be determined.
θinc min=2−N+1 (10)
Using equation 10, it is possible to determine N using the sampling frequency, the desired tuning resolution frequency and the Accmax of the enhanced phase accumulator. Substituting the selected values into equation (9) while not violating the Accmax>Acc′max constraint allows an N to be chosen that satisfies equations (11) and (12).
The minimum value of N that satisfies both equations is N=25, which corresponds to Acc′max=0.894069671630859375 (exactly representable in the selected wordlength). These parameters may be programmed into the enhanced phase accumulator 12. The CORDIC modules 16, 18 and the angle adjust module 14 may be programmed to take into consideration these parameters, and the complex turner with enhanced frequency resolution system is operated according to the N value determined in block 114.
Now turning to
It may be advantageous to set forth definitions of certain words and phrases used throughout this patent document. The terms “include” and “comprise,” as well as derivatives thereof, mean inclusion without limitation. The term “or” is inclusive, meaning and/or. The phrases “associated with” and “associated therewith,” as well as derivatives thereof, mean to include, be included within, interconnect with, contain, be contained within, connect to or with, couple to or with, be communicable with, cooperate with, interleave, juxtapose, be proximate to, be bound to or with, have, have a property of, or the like.
While this disclosure has described certain embodiments and generally associated methods, alterations and permutations of these embodiments and methods will be apparent to those skilled in the art. Accordingly, the above description of example embodiments does not define or constrain this disclosure. Other changes, substitutions, and alterations are also possible without departing from the spirit and scope of this disclosure, as defined by the following claims.
Number | Name | Date | Kind |
---|---|---|---|
5307020 | Marcuard | Apr 1994 | A |
6621426 | van Nguyen | Sep 2003 | B1 |
7720160 | Gorecki et al. | May 2010 | B1 |
20020057733 | Sullivan | May 2002 | A1 |
20030062929 | Langlois et al. | Apr 2003 | A1 |
20040114701 | Markman | Jun 2004 | A1 |
20060026661 | McMullin et al. | Feb 2006 | A1 |
20060097814 | Schlesinger et al. | May 2006 | A1 |
20060125960 | Huang et al. | Jun 2006 | A1 |
20060233284 | Sullivan | Oct 2006 | A1 |
Number | Date | Country | |
---|---|---|---|
20090316838 A1 | Dec 2009 | US |