摘要
针对调频广播信号带宽变化严重影响外辐射源雷达距离分辨率及信号检测问题,提出了一种基于短时傅里叶变换的频谱认知技术,提升多发单收外辐射源雷达的目标检测性能。同时阐述了多发单收调频广播外辐射源雷达的信号模型,以及基于数字多波束形成的多发射站直达波恢复方法和基于空域快时域自适应算法的多发射站杂波抑制方法。仿真和实验结果表明,所提算法能对发射台的波形进行认知选择,通过电台选择可以有效提高外辐射源雷达的目标检测性能。
Waveform cognition based on short-time Fourier transform for FM radio passive radar is proposed since the performance of target detection is mainly affected by the bandwidth of the illuminators with different broadcasting contents.The target detection model based on multiple illuminators and single receiver is described,as well as direct signal recovery exploiting digital beam forming and suppression of the direct path interferences and clutters using space-time adaptive filters.Computer simulations show that the proposed approach yields a significant detection performance improvement via the choice of the illuminators.
作者
龚道银
王峰
周易
Gong Daoyin;Wang Feng;Zhou Yi(Array and Information Processing Laboratory,College o{Computer and Information, Hohai University,Nanjing 211100,China)
出处
《国外电子测量技术》
2018年第11期23-27,共5页
Foreign Electronic Measurement Technology
基金
江苏省自然科学基金资助(BK20151501)
中央高校基本科研业务费专项资助(2015B03014)
雷达成像与微波光子技术教育部重点实验室(南京航空航天大学)(3082016NJ20160006)
水声通信与海洋信息技术教育部重点实验室开放基金资助(厦门大学)(201703)
关键词
调频广播
外辐射源雷达
认知雷达
frequency modulation broadcasting
passive multistatic radar
cognitive radar
