基于时间融合的雷达辐射源自动识别方法

Auto-recognition Method of Radar Radiator based on Fusion in Time Domain

雷达辐射源识别是雷达对抗信号处理中关键环节,也是电子目标识别的重要前提。介绍了Dempster组合规则和加权M-距离法、灰关联分析法等时间融合的雷达辐射源自动识别方法,提出了基于证据理论的单传感器时间融合算法,研究了单传感器在不同时间测量周期的证据综合过程,并给出仿真试验结果。随着噪声的增大,传感器单次时间融合的正确识别率下降很快,而采用基于D-S证据理论的单传感器时间融合方法却有较高的正确识别率,该算法大大降低了错误识别率。因此提出的算法是可行的。

Recognition of radar radiator is a key part in signal processing of radar countermeasure, also an important premise of the recognition of electronic targets. The paper introduces Dempster combination rule and auto-recognition method of radar radiator based on fusion in time domain, such as weighted M- distance method, gray association analysis method, etc. , proposes the single-sensor fusion algorithm in the time domain based on evidence theory, the evidence integration process is researched in different measurement period in the single sensor and the simulation result is given. With increase of the noise level, the right recognition ratio decreases promptly with once sensor fusion in the time domain, while the right recognition ratio is much higher with the fusion method in the time domain of single sensor based on D-S evidence theory, with which the wrong recognition ratio decreases greatly. The proposed algorithm in the paper is feasible.