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为分析合成孔径雷达(synthetic aperture radar,SAR)复图像域运动目标的参数估计性能,本文在SAR复图像域地面运动目标信号模型的基础上,推导了色高斯分布杂波中运动目标参数估计的克拉美罗界(Cramer-Rao bound,CRB).分析了参数估计性能与运动目标散射强度、运动参数以及信号功率谱的相互关系,并比较了信号域和复图像域的参数估计性能.进而,提出采用降分辨率处理(reducing resolution processing,RRP)提高了复图像域参数估计性能,并定量分析了RRP带来的参数估计性能改善.参数估计性能分析表明,在均匀杂波背景下的SAR复图像域,可实现目标高精度的运动参数估计和定位处理.最后,数值实验结果验证了本文参数估计性能分析的正确性和有效性.
In order to analyze the parameter estimation performance of moving target in synthetic aperture radar (SAR) complex image domain, based on the ground moving target signal model in SAR complex image domain, this paper derives the parameters estimation of moving target in color Gaussian distribution clutter Cramer-Rao bound (CRB). The correlation between parameter estimation performance and moving target scattering intensity, motion parameters and signal power spectrum are analyzed and the performance of parameter estimation in signal and complex image regions is compared.Furthermore, It is proposed that reducing resolution processing (RRP) improves the performance of complex image domain parameter estimation and quantitatively analyzes the performance improvement of parameter estimation brought by RRP.The performance analysis of parameter estimation shows that SAR complex under the background of uniform clutter Image domain, which can achieve high-precision target motion parameter estimation and location processing.Finally, numerical experiment results verify the correctness and validity of the performance analysis of parameter estimation in this paper.