Multi-channel chirp scaling algorithm for high-resolution multi-channel antenna space-borne SAR imaging

Based on the analysis of the limitation that exists in the traditional imaging algorithms when processing the echo of high resolution multi-channel antenna space-borne SAR (Synthetic Aperture Radar), a novel MCCS (multi-channel Chirp Scaling algorithm) for high resolution multi-channel antenna space-borne SAR imaging is developed. The algorithm uses a filter banks to realize the conversion from the echo of high resolution multi-channel antenna space borne SAR to the echo of strip map SAR. When the filter banks are designed properly, the conversion is strictly equivalent. the ambiguity that caused by inadequately sampling can be completely avoided, and the dependence on DPC (displaced phase center) equivalent condition can be completely removed. But when using the traditional imaging algorithms, the DPG equivalent condition should be strictly satisfied. Then using the Chirp Scaling principle to accomplish imaging, and the precise focusing picture can be realized. Finally, the computer simulation showed the validity of the algorithm.