基于统计相关差异的多基地雷达拖引欺骗干扰识别

针对长基线多基地雷达系统在目标跟踪阶段的拖引欺骗干扰识别问题，考虑到真实目标回波在不同节点雷达中的幅度相互独立，而拖引欺骗干扰假设来自同一干扰机，其在不同节点雷达中的幅度完全相关，从而跟踪波门内只有目标回波与同时存在目标回波与拖引欺骗干扰这两种不同情形下的信号幅度存在统计相关差异。该文提出利用这一差异实现多基地雷达系统的拖引欺骗干扰识别。通过在分析统计相关差异的基础上，对不同节点雷达接收到的回波信号幅度序列进行相关性度量及参数估计，构建检验统计量，在给定的虚警概率下实现了对欺骗干扰的识别。仿真实验结果表明，该方法对欺骗干扰具有较好的识别效果，相较于基于拟合优度的AD检测算法，识别概率平均提高18.63%。

Recognition of Deception Jamming Based on Statistical Correlation Difference in a Multistatic Radar System

In multistatic radar system, the real target echoes are independent of each other in different node radars under long-term baseline conditions, but the amplitudes of the deception jamming signals in different node radars are completely correlated because of the jamming signals generated from the same jammer. This paper uses the difference to realize the recognition of deception jamming in multistatic radar system on the stage of tracking. Correlation measurement and parameter estimation are carried out on the amplitude sequence of the received signals by different nodes, and the test statistic is constructed to realize the recognition of deception jamming under the given false alarm probability. The simulation results show that the proposed method has a good performance on the recognition of deception jamming. Compared to the Anderson-Darling (AD) test based on goodness-of-fit, the recognition probability increases by an average of 18.63%.