CRB for joint estimation of moving target in distributed phased array radars on moving platforms

Ziyang Cheng, Zishu He, Xuejing Zhang
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引用次数: 5

Abstract

In this paper, we investigate the location and velocity joint estimattion performance for distributed radars on moving platforms, each platform is equipped with phased array radar. The distributed radars system can be inplemented as non-coherent MIMO radar. Firstly, this paper presents maximum likelihood estimation of location and velocity, and then the Cramer-Rao bound for location and velocity joint estimation are derived. We analyze the influnce of the signal bandwith and observation time on estimation performance. Simulation results are provided to verify the correctness of Cramer-Rao bound derivation.
移动平台上分布式相控阵雷达运动目标联合估计的CRB算法
本文研究了分布式雷达在移动平台上的位置和速度联合估计性能,每个平台都配备了相控阵雷达。分布式雷达系统可以实现为非相干MIMO雷达。首先给出了位置和速度的极大似然估计,然后导出了位置和速度联合估计的Cramer-Rao界。分析了信号带宽和观测时间对估计性能的影响。仿真结果验证了Cramer-Rao界推导的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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