无源探测中微弱目标的多步检测算法研究

Multi-stage detection algorithm of weak target in passive detection

针对在无源探测中掩膜效应严重影响远处微弱目标的检测问题,提出了一种多步检测算法。该算法采用广义对消算法去除目标回波中由于掩膜效应造成的直达波和杂波,并利用优化的CLEAN算法消除近处强目标回波,通过逐步消除强目标回波,达到提高检测微弱目标性能的目的。仿真结果表明,该算法能够较准确地估计出微弱目标的位置,计算量较小,在复杂背景下同样能够较好地检测出目标。

To overcome the problem that masking effect can seriously affect the detection performance of weak far away target,a multi-stage detection algorithm is proposed.This algorithm adopts the extensive cancellation algorithm to remove the direct signal and clutter signal that are caused by masking effect,and uses optimized CLEAN algorithm to remove strong target echo nearby.By removing strong target echo gradually,better detection performance of weak target echo is achieved.Simulation results prove the new algorithm can estimate position of the weak target more accurately and detect the target better in strong interference background with less calculation.