研究目的
To calibrate range-variant channel phase errors in multichannel HRWS SAR imaging to improve ambiguity suppression performance.
研究成果
The proposed method effectively calibrates range-variant channel phase errors in multichannel SAR, improving ambiguity suppression as validated by real data experiments, with average suppression levels improving from -33.1 dB to -36.4 dB.
研究不足
The method assumes position errors are small and constant during sub-aperture time; it may not account for all error sources or variations in ambiguity number over Doppler frequency.
1：Experimental Design and Method Selection:
The method involves analyzing the effect of radial position errors using second-order Taylor series expansion of azimuth phase history, dividing raw data into range blocks, using azimuth cross-correlation to estimate phase errors per block, and employing a fitting process to estimate range-variant phase errors.
2：Sample Selection and Data Sources:
Real measured airborne multichannel SAR data collected by the Institute of Electronics, Chinese Academy of Sciences (IECAS) is used.
3：List of Experimental Equipment and Materials:
A multichannel SAR system with six uniformly spaced channels, parameters include carrier wavelength (
4：03125m), platform velocity (5 m/s), slant range (6 km), single antenna length (144 m), PRF (9 Hz), number of channels (6), range bandwidth (420 MHz), and range sampling frequency (500 MHz). Experimental Procedures and Operational Workflow:
Data is processed by calibrating channel errors, suppressing azimuth ambiguities using a method from reference [12], and imaging using the chirp scaling (CS) algorithm from reference [13].
5：3]. Data Analysis Methods:
5. Data Analysis Methods: Performance is validated by comparing imaging results with and without considering range-variant errors, measuring azimuth ambiguity suppression levels.
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