拖曳式雷达诱饵目标识别技术

Target Recognition Technology of Towed Radar Decoy

针对拖曳式雷达诱饵易对雷达导引头造成欺骗性干扰的问题,利用雷达回波中提取的目标微动多普勒特征、极化特征和雷达截面积序列统计特征进行仿真分析,在实现载机和诱饵初步识别的基础上,采用贝叶斯(Bayes)数据融合方法,对上述3种回波信号特征进行一级融合,并进一步对不同时刻的信号特征进行二级融合,最终将目标识别率由71.5%提高到了96%。该目标识别方法能够大大减少外界因素的影响,相对于单特征识别显著提高了目标识别率。

For the problem that the deception jamming to radar seeker is easily caused by towed radar decoy （TRD） ,the target micro-Doppler,the polarization and radar cross section（RCS） sequence features extracted from radar echo signal are employed to perform simulation and analysis. On the basis of primary recognition of carrier aircraft and decoy,Bayes data fusion method is used to perform the first-stage integration of three echo signal features and the second-stage integration of signal features at different time. Finally, the target recognition rate is increased from 71.5% to 96%. The proposed method reduces the influence of external fac- tors and significantly increases the recognition rate compared with the single feature recognition method.