一种适用于分集MIMO雷达鲁棒的有源假目标鉴别方法

分集多输入多输出(MIMO)雷达在对抗欺骗式假目标干扰方面有着体制优势,已有文献在假设真实目标回波完全去相关的假设下,通过对目标慢时间复包络序列进行相关性检验来鉴别假目标。考虑到在真实目标回波不完全去相关条件下此有源假目标鉴别方法性能下降较严重,提出了一种鲁棒的有源假目标鉴别方法。仿真分析表明,在真实目标回波存在相关性的场景下,此方法有着较明显的性能优势。

A Robust Active False-target Discrimination Method Suitable for Diversity MIMO Radar

Diversity multiple-input multiple-output ( MIMO) radar has the advantage of active false-target discrimination. On the assumption that echoes of true targets are essentially decorrelated, an active false-target discrimination method based on target spatial scattering characteristics is proposed. However, under the condition of related echoes, this method performance degradation is serious. So a robust active false-target discrimination method is proposed. Simulation results indicate that the approach proposed perform well on the condition of related echoes.