雷达成像近似二维模型及其超分辨算法

现有的雷达成像超分辨算法是基于目标回波信号的二维正弦信号模型，所以模型误差，特别是距离走动误差，将使算法性能严重下降或失败。为此，本文采用距离走动误差下的一阶近似雷达成像二维信号模型，提出了一种基于非线性最小二乘准则的参数化超分辨算法。在算法中，距离走动误差补偿与目标参量估计联合进行，文中同时给出了算法估计性能的Ｃｒａｍｅｒ－Ｒａｏ界及仿真结果。

A Super Resolution Radar Imaging Algorithm Based on the 2-D Approximate Model

The recently proposed super resolution radar imaging algorithms, which are based on the 2-D sinusoid signalmodel,often suffer from the motion through resolution cell error(MTRC) and failed completely. In this paper,an algorithm isproposed based on the 2-D approximate radar imaging model. By minimizing a nonlinear least-squares cost function, the algorithm combines the parameter estimation with the compensation of MTRC errors . The Cramer-Rao bounds are derived andsimulation results are also presented to demonstrate the performance of the algorithm.