摘要
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.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2015年第1期148-152,共5页
Journal of National University of Defense Technology
基金
国家自然科学基金资助项目(61002026)
关键词
辐射源识别
特定辐射源识别
时变信道
最大似然检测
局部相关
emitter identification
specific emitter identification
time-variation channel
likelihood-ratio test
local correlation test