期刊文献+

基于匹配滤波原理的MIMO雷达信号分选算法 被引量:2

MIMO Radar Signal Sorting Algorithm Based on Principle of Matched Filtering
下载PDF
导出
摘要 针对多输入多输出(MIMO)雷达信号的分选问题,借鉴雷达接收机中匹配滤波的思想,提出了一种类匹配滤波的雷达对抗侦察分选算法。该算法将雷达对抗侦察接收机截获的脉冲信号构成待测脉冲组,首个脉冲作为参考信号,参考信号与待测脉冲组进行类匹配滤波运算,运算结果峰值超过门限时,则判定该信号与参考信号为同一信道;若不超过门限,则不为同一信道。去除同一信道的信号之后,继续重新进行分选,直到所有待测脉冲分选完毕。实验仿真表明,分选算法具有抗噪声能力强、受脉间抖动的影响小、对截获信号的数目要求低、分选错误率低、工程实现简单的特点。 To the sorting problem of Multiple-Input and Multiple-Output( MIMO) radar signals, by using the idea of matched filtering in radar receiver, a cluster matched filtering-based sorting algorithm of radar countermeasure reconnaissance is proposed. Pulse signals intercepted by radar reconnaissance receiver constitute the pulse group to be tested, with the first pulse being used as the reference signal. Cluster matched filter operation is made to the reference signal and the pulse group to be tested. When the operation result exceeds the threshold, it is judged that the tested pulse signals are in the same channel as the reference signal; otherwise, they are not in the same channel. After removal of signals in the same channel, sorting continues to be performed again, until sorting of all tested pulse signals is completed. Experimental simulation shows that the proposed sorting algorithm has strong anti-noise capability and low sorting error rate, is less affected by inter-pulse jitter, requires less number of intercepted signals, and easy to be implemented in engineering.
出处 《电光与控制》 北大核心 2015年第12期107-111,116,共6页 Electronics Optics & Control
关键词 MIMO雷达 雷达对抗侦察 匹配滤波运算 信号分选 脉间抖动 MIMO radar radar countermeasure reconnaissance matched filtering operation signal sorting inter-pulse jitter
  • 相关文献

参考文献20

  • 1FISHER E, HAIMOVICH A, BLUM R, et al. MIMO ra- dar : an idea whose time has come [ C ]//Proceeding of the IEEE Radar Conference, 2004:71-78.
  • 2BLISS D W, FORSYTHE K W. Multiple-input multiple-output radar and imaging:degrees of freedom and resolu- tion[ C]//Proceeding of 37th Asilomar Conference on Signals, Systems and Computers, 2003:54-59.
  • 3FISHLER E, HAIMOVICH A, BLUM R, et al. Spatial di- versity in radar-models and detection performance [ J ]. IEEE Transactions on Signal Processing, 2006, 54(3) :823- 838.
  • 4LI J, STOICA P. MIMO radar with collocated antennas [ J ]. IEEE Signal Processing Magazine, 2007, 24 (5) : 106-114.
  • 5GOGINENI S, NEHORAI A. Polarimetric MIMO radar with distributed antennas for target detection [J]. IEEE Transactions on Signal Processing, 2010, 58 (3) :1689-1697.
  • 6CAMPBELL J W, SAPERSTEIN S. Signal recognition in complex radar environments [J]. Watldns-Johnson Tech Notes, 1976, 3(6) :81-87.
  • 7ROGERS J A V. ESM Processor system for high pulse density radar environment [ J ]. IEEE Signal Processing, 1985, 132 ( 7 ) :621-625.
  • 8NISHIGUCHI K. A new method for estimation of pulse repetition intervals [ J ]. National Convention Record of IECE of Japan Information and Systems Section, 1983, 9 ( 1 ) :230-247.
  • 9MILOJEVIC D J, POPOVIC B M. Improved algorithm for the deinterleaving of radar pulses [ J ]. Radar and Signal Processing, 1992, 139( 1 ) :98-104.
  • 10NISHIGUCHI K, KOBAYASHI M. Improved algorithm for estimating pulse repetition intercals [ J ]. IEEE Transac- tions on Aerospace and Electronic Systems, 2000, 36 ( 2 ) : 407-421.

二级参考文献24

共引文献62

同被引文献9

引证文献2

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部