1. Field of Invention
This invention is in the field of moving target detection for use with radar imaging and/or target detection using a single channel receiver.
2. Description of the Related Art
Synthetic Aperture Radar (SAR) radar is used for ground mapping as well as target identification. The general principle behind SAR is to coherently combine the amplitude and phase information of radar returns from a plurality of sequentially transmitted pulses from a relatively small antenna on a moving platform.
The plurality of returns creating a SAR image generated by the transmitted pulses along a known path of the platform make up an array. During the array, amplitude as well as phase information returned from each of the pulses, for each of many range bins, is preserved. The SAR image is formed from the coherent combination of the amplitude and phase of return(s) within each range bin, motion compensated for spatial displacement of the moving platform during the acquisition of the returns for the duration of the array.
The plurality of pulses transmitted during a SAR array, when coherently combined and processed, result in image quality comparable to a longer antenna, corresponding approximately to the “length” traveled by the antenna during the array. Imaging in SAR depends on Doppler frequency bins. A moving target being imaged will experience a Doppler frequency shift, hence be possibly imaged in an inaccurate Doppler bin. Thus, where moving ground targets of interest are superimposed on stationary, non-moving clutter, imaging and locating of moving targets may be degraded because there is no definite correspondence between target angle and the Doppler shift of the target. Sometimes, resolving the uncertainty in position of a moving target with respect to the SAR map, requires more than one target measurement, presenting undesirable extended target acquisition time.
Above limitations are reduced by a radar receiver on a moving platform for imaging a moving target from radar returns from a scene containing the moving target and non-moving clutter using a single SAR array. The radar receiver comprises an analog to digital converter for converting the radar returns into digital radar returns descriptive of said scene containing the moving target and non-moving clutter, and a digital computer for performing the steps of:
motion compensating the digital radar returns with respect to a reference, said reference within said scene to obtain a motion compensated data for computing a synthetic aperture image of said scene;
estimating a phase error of said clutter within said motion compensated data and compensating for said phase error said motion compensated data to obtain an autofocused synthetic aperture image, said autofocused synthetic aperture image composed of pixels;
detecting a plurality of moving target pixels descriptive of said moving target among said pixels of said autofocused synthetic aperture image;
transforming said plurality of moving target pixels from said autofocused image to a time domain moving target (I/Q equivalent) data;
focusing the time domain moving target data by iteratively applying a phase compensation to said time domain moving target data.
In the Drawing:
The present invention describes an apparatus and method for detecting moving targets within a SAR image.
A few assumptions are made to illustrate the operation of this invention, as shown in
x direction is the direction of flight, with velocity Vx;
y direction is perpendicular to x, parallel to the plane of the scene being imaged; and
z direction is normal to the x, y plane of the scene, defined by {circumflex over (z)}={circumflex over (x)}×ŷ.
The radar receiver 300 on a moving platform digitizes radar returns reflected from a combination of a moving target 313 on surface 309, and from non-moving, ground clutter 303 and 305. The radar has a radar beam 315 for concurrently and non-selectively illuminating surface 309 and clutter 303 and 305.
The top view of
For example, if target 406 is a slow mover (endo-clutter), it would be mapped an angle θ1 measured with respect to the Y axis. If target 406 accelerates to a higher velocity component perpendicular to the Doppler contours, it is now mapped as target 408, an exo clutter target, at θ2.
Target returns that do not appear to originate on a SAR map from the same angle of arrival as directly competing clutter at the same Doppler as the target, such as moving target 408, are exo clutter targets. Conversely, target returns that originate from slow moving or turning targets such as 406, competing with main lobe clutter, such as 303 and 305, are examples of endo clutter targets.
Typically, in a simplified form,
where
λ is the wavelength of the transmitted radar signal;
fclutter is the radar return frequency shift due to Doppler shift from motion of platform 300;
ftarget is the radar return frequency shift due to Doppler shift from motion of platform 300 plus component of motion Vtarget of the target itself perpendicular to the
Doppler contours;
θ is the angle with respect to direction of travel of the moving platform.
Thus, when mapping a moving target, theoretically at least two separate radar measurements are required:
a) acquire a SAR map, fclutter related, containing the clutter, with the moving target as part of the clutter, and
b) measurement of velocity of the target, ftarget related, to re-locate the position of the moving target within the SAR map in response to target velocity.
The present invention creates the SAR map of the ground (clutter) and properly locates a moving target on the SAR map in a single step, using the radar data generated during a SAR array.
Radar receiver 500 comprises:
a) an analog to digital converter 501 for converting the radar returns into digital radar returns descriptive of the scene containing the moving target 313 and typical, non-moving ground clutter such as clutter 303 and clutter 305;
b) a digital computer 502 for performing the steps of:
1) motion compensating 503 the digital radar returns with respect to a reference, said reference within said scene being imaged to obtain a motion compensated data for computing a synthetic aperture image of the scene;
2) Performing range compression 505 on the motion compensated data;
3) Estimating a phase error of the clutter 303 and 305 within the motion compensated data and compensating for the phase error within the motion compensated data to obtain an autofocused synthetic aperture image 507, said autofocused synthetic aperture image composed of pixels;
4) Performing an azimuth Fast Fourier Transform 509 on the autofocused image;
5) Detecting plurality of moving target pixels descriptive of said moving target among said pixels of said autofocused synthetic aperture image. The detection of the moving target can be conducted a number of ways. For example, as shown, an azimuth FFT 509 is performed over the SAR image. The output from Azimuth FFT 509 is presented to STAP processing 511 for detecting endo-clutter moving target(s). Concurrently the output from Azimuth FFT 509 is also examined to detect exo-clutter target(s) in Exo clutter moving target detection 517. A moving target is selected in moving target selection 515 for further processing.
6) Extracting for the selected target, its pixels from the autofocused image in Extract Moving Target Pixels 519, thus yielding a plurality of target pixels descriptive of the moving target.
7) Transforming said plurality of moving target pixels from said autofocused image in Transform to Time Domain 521 to obtain time domain moving target data. This yields the equivalent if I/Q data initially generated by the A/D converter 501.
8) focusing said time domain moving target data by iteratively applying a phase compensation to said time domain moving target data 523,525,527. In Phase Compensation for Moving Target 523, time domain phase compensation is computed. Adaptive Interpolation for Target Rotation 525 compensates in the time domain for rotation of the moving target. Iterative Focusing 527 repeats the phase compensation in the time domain until an acceptable criterion is reached.
9) Display 529 displays the SAR image and the moving target properly located on the SAR map, i.e. the autofocused image.
In summary, for exo-clutter moving targets, the SAR target pixels are extracted from the SAR image, then transformed back to the time domain and re-processed. This allows the correct phase history to be applied for motion compensation of the moving target. The angular rate of the target is iteratively detected through image focusing before the high resolution 2D target image is displayed.
For endo-clutter targets, STAP processing is optionally performed for ground moving target detection. The target pixels are then transformed back to the time domain and re-processed with the correct target phase history to generate the moving target image, as detailed for the exo-clutter target.
All references cited in this document are incorporated herein in their entirety by reference. Specifically, Synthetic Aperture Radar by John J Kovaly, ISBN 0-89006-056-8, Artech House, and Radar Technology by Eli Brookner, ISBN 0 89006 0215, Artech House, are incorporated herein in their entirety by reference to provide a background for this invention and definition of variables used herein.
Although presented in exemplary fashion employing specific embodiments, the disclosed structures are not intended to be so limited. For example, the SAR map containing the moving target need not be generated by a single SAR frame, although convenient to do so. With proper motion compensation, data from multiple SAR frames, multiple radars, or multiple bistatic radars can be similarly treated to obtain the beneficial results herein.
Those skilled in the art will also appreciate that numerous changes and modifications could be made to the embodiment described herein without departing in any way from the invention.
This application is a continuation in part of U.S. Patent and Trademark application Ser. No. 10/996,024, filed Nov. 23, 2004, titled “Technique for Cancellation of Elevated Clutter for the Detection of Fixed and Ground Moving Targets Under Trees”.
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Number | Date | Country | |
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Number | Date | Country | |
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Parent | 10996024 | Nov 2004 | US |
Child | 11184694 | US |