中文摘要：

针对欺骗式假目标干扰,单站雷达的对抗能力有限,而组网雷达数据级信息损失率较高,导致数据级融合抗假目标干扰方法未能充分发挥其抗干扰能力.由于真实目标的雷达截面积随视角随机起伏,在长基线条件下真实目标回波具有各向异性,而有源假目标信号具有各向同性.利用此差异,提出基于目标空间散射特性的组网雷达有源假目标鉴别方法,通过对目标的慢时间复包络序列进行相关性检验,以鉴别假目标.仿真结果表明该方法可在保证较高真实目标的鉴别概率的情况下,实现对有源假目标的鉴别.

英文摘要：

In the presence of false-target deception jamming, the anti-jamming ability of monostatic radar is limited, and anti-jamming methods based on data fusion cannot fully exhaust the anti-jamming ability of netted radar due to the high information loss rate at the data level. Echoes of true targets are essentially independent, when they are received by node radars from sufficiently different directions due to the fluctuations of target radar cross section （RCS）. However, deception jamming signals received from different directions would be highly coherent. Exploiting this difference, an active false-target discrimination method for netted radar based on target spatial scattering characteristics is proposed, in which a correlation test is implemented between slow-time complex envelope sequences of different targets to discriminate active false-targets. Simulation results indicate that the approach proposed can effectively discriminate false-targets and ensure the recognition probability of true targets.