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合成孔径雷达(SAR)地面目标的径向运动会导致Doppler模糊,将目标Doppler频谱分裂为不同模糊数的2部分,显著增加了目标定位、识别和分类的难度。为实现谱分裂类型目标解模糊,该文基于复图像距离-Doppler(R-D)域的目标包络斜率正比于模糊数的特性,提出一种在谱延拓R-D域作二次距离徙动校正、搜索残留徙动斜率最小值的模糊数估计方法,克服了谱分裂造成的包络不连续性。新方法计算效率高且无需辅助硬件支持。基于机载SAR实测数据的数值实验表明:新方法可有效实现谱分裂目标模糊数估计。
Radial motion of ground targets in Synthetic Aperture Radar (SAR) can lead to Doppler blurring, splitting the target Doppler spectrum into two parts of different fuzzy numbers, which significantly increases the difficulty of locating, identifying and classifying targets. To solve the problem of spectral splitting type target ambiguity, based on the characteristic of the slope of the target envelope in the complex image distance-Doppler (RD) domain being proportional to the fuzzy number, a quadratic distance migration correction in the spectral extension RD domain is proposed, The method of fuzzy number searching for the minimum value of residual migration slope is overcome, which overcomes the enveloping discontinuity caused by spectral splitting. The new method is computationally efficient and requires no secondary hardware support. The numerical experiments based on the measured data of airborne SAR show that the new method can effectively estimate the spectral numbers of spectral splitting targets.