Fourth-order-product phase difference autofocus
First Claim
1. A phase difference autofocus computational method for use in processing range compressed video phase history (VPH) data of a SAR data to correct for phase errors contained therein, said method comprising the steps of:
- dividing an array of range compressed VPH data into first and second subarrays;
forming a third subarray of range compressed VPH data comprising a portion of the array;
complex-conjugate multiplying the first subarray with the third subarray to produce a first second-order-product subarray;
complex-conjugate multiplying the third subarray with the second subarray to produce a second second-order-product subarray;
complex-conjugate multiplying the first second-order-product subarray with the second second-order-product subarray to produce a first fourth-order-product subarray;
time reversing and complex-conjugate multiplying the second second-order-product subarray with the first second-order-product subarray to produce a second fourth-order-product subarray;
separately performing Fourier transforms on the first and second fourth-order-product subarrays to produce respective FFT filter banks;
separately performing magnitude-detections on respective FFT filter banks to produce respective autofocus functionals;
summing the respective autofocus functionals over all range bins;
respectively determining the locations of the peak response values of the autofocus functionals;
computing quadratic and cubic phase error values from the respective peak response locations;
combining the quadratic and cubic phase error values in accordance with a predefined relationship to produce a phase error correction signal; and
multiplying the range compressed VPH data with the phase error correction signal to produce phase-corrected VPH data.
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Abstract
The present invention is a computational method, defined by a computational algorithm, that automatically corrects synthetic array radar (SAR) focus errors more accurately than conventional procedures. The novel feature is that the present method estimates residual phase errors by forming fourth-order subarray products in lieu of conventional second-order subarray products. As a result, a pull-in range for residual phase errors is vastly improved. The present invention advances the state of the art by creating a SAR autofocus method that has an unlimited pull-in range for both a quadratic and a cubic phase errors. The invention thus extends the operational range and resolution of SAR systems, and enables the effective use of the SAR sensor with a limited (less expensive) motion compensation subsystem. The present invention provides for a phase difference autofocus method that estimates the residual quadratic and cubic phase error that often requires only one autofocus iteration.
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Citations
7 Claims
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1. A phase difference autofocus computational method for use in processing range compressed video phase history (VPH) data of a SAR data to correct for phase errors contained therein, said method comprising the steps of:
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dividing an array of range compressed VPH data into first and second subarrays; forming a third subarray of range compressed VPH data comprising a portion of the array; complex-conjugate multiplying the first subarray with the third subarray to produce a first second-order-product subarray; complex-conjugate multiplying the third subarray with the second subarray to produce a second second-order-product subarray; complex-conjugate multiplying the first second-order-product subarray with the second second-order-product subarray to produce a first fourth-order-product subarray; time reversing and complex-conjugate multiplying the second second-order-product subarray with the first second-order-product subarray to produce a second fourth-order-product subarray; separately performing Fourier transforms on the first and second fourth-order-product subarrays to produce respective FFT filter banks; separately performing magnitude-detections on respective FFT filter banks to produce respective autofocus functionals; summing the respective autofocus functionals over all range bins; respectively determining the locations of the peak response values of the autofocus functionals; computing quadratic and cubic phase error values from the respective peak response locations; combining the quadratic and cubic phase error values in accordance with a predefined relationship to produce a phase error correction signal; and multiplying the range compressed VPH data with the phase error correction signal to produce phase-corrected VPH data. - View Dependent Claims (2, 3)
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4. A phase difference autofocus computational method for use in processing range compressed video phase history (VPH) data of a SAR data to correct for phase errors contained therein, said method comprising the steps of:
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dividing an array of range compressed VPH data into first and second equal subarrays that comprise respective halves of the data comprising the array; forming a third subarray of range compressed VPH data comprising a center portion of the array, and which comprises the same amount of data as the first and second subarrays; complex-conjugate multiplying the first subarray with the third array to produce a first second-order-product subarray; complex-conjugate multiplying the third subarray with the second array to produce a second second-order-product subarray; complex-conjugate multiplying the first second-order-product subarray with the second second-order-product subarray to produce a first fourth-order-product subarray; time reversing and complex-conjugate multiplying the second second-order-product subarray with the first second-order-product subarray to produce a second fourth-order-product subarray; separately performing Fourier transforms on the first and second fourth-order-product subarrays to produce respective FFT filter banks; separately performing magnitude-detections on respective FFT filter banks to produce respective autofocus functionals; summing the respective autofocus functionals over all range bins; respectively determining the locations of the peak response values of the autofocus functionals; computing quadratic and cubic phase error values from the respective peak response locations; combining the quadratic and cubic phase error values in accordance with a predefined relationship to produce a phase error correction signal; and multiplying the range compressed VPH data with the phase error correction signal to produce phase-corrected VPH data. - View Dependent Claims (5)
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6. A phase difference autofocus computational method for use in processing range compressed video phase history (VPH) data of a SAR data to correct for phase errors contained therein, said method comprising the steps of:
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dividing an array of range compressed VPH data into first and second equal subarrays {X(n)}, {Y(n)}; forming a third subarray {Z(n)} of range compressed VPH data comprising a center portion of the array; complex-conjugate multiplying the first subarray {X(n)} with the third subarray {Z(n)} to produce a first second-order-product subarray {P(n)}; complex-conjugate multiplying the third subarray {Z(n)} with the second subarray {Y(n)} to produce a second second-order-product subarray {Q(n)}; complex-conjugate multiplying the first second-order-product subarray {P(n)} with the second second-order-product subarray {Q(n)} to produce a first fourth-order-product subarray {H(n)}; time reversing and complex-conjugate multiplying the second second-order-product subarray {Q(n)} with the first second-order-product subarray {P(n)} to produce a second fourth-order-product subarray {G(n)}; separately amplitude weighting the first and second fourth-order-product subarrays {G(n)}, {H(n)}; separately performing Fourier transforms on the amplitude weighted first and second fourth-order-product subarrays {G(n)}, {H(n)} to produce respective FFT filter banks; separately performing magnitude-detections on respective FFT filter banks to produce respective autofocus functionals; summing the respective autofocus functionals over all range bins; respectively determining the locations of the peak response values of the autofocus functionals; computing quadratic and cubic phase error values from the respective peak response locations; combining the quadratic and cubic phase error values in accordance with a predefined relationship to produce a phase error correction signal; and multiplying the range compressed VPH data with the phase error correction signal to produce phase-corrected VPH data. - View Dependent Claims (7)
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Specification