时变信道下雷达辐射源个体识别的局部相关检验方法

Radar emitter identification in time-variation channel based on local correlation test

辐射源个体识别是电子战领域的研究热点。针对时变信道下波形已知的雷达个体分类问题,基于似然比检验提出一种稳健的局部相关检测方法。该方法利用雷达波形中差异度较大的部分生成参考波形,构建假设检验模型进行信号分类,并通过比例因子调节参考波形的差异显著性。仿真实验表明,随着参考波形差异显著性增强,本方法识别性能明显优于直接最大似然比方法,具有较好的抗多径性能。

Emitter identification is brought into research hotspot in the field of electronic warfare. To solve the problem of radar emitter identification in time-variation channel,a local correlation testing based on Likelihood Test was proposed. The method used the radar waveforms with large diversity parts to form reference waveform,identified signals by building a hypothesis model,and adjusted the variability of reference waveforms by a scale coefficient. Simulation result shows that the recognition performance and the multipath interference performance of the method are better than likelihood-ratio test with the incremental variability of the reference signal.