扫描体制雷达高分辨参数估计算法统一框架及性能分析

在对扫描体制雷达高分辨参数估计算法研究的基础上,提出了适于各种扫描体制雷达高分辨参数估计算法的统一框架,从而把多重信号分类(MUSIC)、多维多重信号分类(MDMUSIC)、最大似然(ML)和加权子空间(WSF)等典型算法有机统一起来,构建了扫描体制雷达高分辨参数估计算法的统一理论基础,推导了该类算法的克拉美—罗界(CRB)。通过仿真实验比较了各种算法的性能,结果表明各算法对角度和多普勒频率估计的精度较高,具有较强的角度和多普勒频率的超分辨特性,这一特性是传统波束扫描雷达参数测量算法所不能企及的。

Unified Frame of High-resolution Parameters Estimation Algorithms and Simulation for Scanned Radar

The application of Direction of arrival (DOA) estimation with antenna arrays in the scanning radar system can enhance the precision and differentiated ability, and is of some value. The unified frame of high-resolution parameter estimation algorithm for scanned radar is proposed based on the research on them. Various typical algorithms, such as MUSIC, MDMUSIC, ML, and WSF, can be consistent with the unified frame. The unified frame is the universal theoretical basis of high-resolution parameter estimation algorithm for scanned radar. Then, the Cramer-Rao Bound (CRB) of these algorithms is deduced. Finally, the performances of these algorithms are compared through simulation experiments.