一种稳健的雷达成像超分辨算法

在机动目标的ISAR成像情形下，由于目标散射点回波信号的多普勒频率不再保持恒定，此时若用常规的超分辨算法来提高横向距离分辨率，则由于模型误差将使得算法性能下降或失效。该文采用上述情形的多普勒频率的分段一阶近似模型，在此基础上，提出一种基于推广RELAX算法的线性调频信号参量估计方法。文中同时给出了数值模拟结果。

A ROBUST SUPER RESOLUTION ALGORITHM FOR RADAR IMAGING

Super resolution Algorithms can be used to obtain high resolution in ISAR imaging. But in the case of maneuvering target,the Doppler frequency of received signal scattered by target will not be constant ,and these algorithms always suffer from the signal model error or fail completely when they are used in the cross range. In this paper, the first order approximate model of Doppler frequency is assumed, and an algorithm based on the extended RELAX method is proposed to estimate the parameters of chirp signals. The Cramer-Rao bounds are derived and simulation results are also present to demonstrate the performance of the algorithm.