典型文献
An interference suppression algorithm for cognitive bistatic airborne radars
文献摘要：
Interference suppression is a challenge for radar researchers, especially when mainlobe and sidelobe interference coexist. We present a comprehensive anti-interference approach based on a cognitive bistatic airborne radar. The risk of interception is reduced by lowering the launch energy of the radar transmitting terminal in the direction of interference; mainūlobe and sidelobe interferences are suppressed via cooperation between the two radars. The interference received by a single radar is extracted from the overall radar signal using multiple signal classification (MUSIC), and the interference is cross-located using two different azimuthal angles. Neural networks allowing good, non-linear non-parametric approximations are used to predict the location of interference, and this information is then used to preset the transmitting notch antenna to reduce the likelihood of intercep-tion. To simultaneously suppress mainlobe and sidelobe interfer-ences, a blocking matrix is used to mask mainlobe interference based on azimuthal information, and an adaptive process is used to suppress sidelobe interference. Mainlobe interference is eliminated using the data received by the two radars. Simulation verifies the performance of the model.
文献关键词：
中图分类号：
作者姓名：
XIA Deping;ZHANG Liang;WU Tao;HU Wenjun
作者机构：
National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China;Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
文献出处：
引用格式：
[1]XIA Deping;ZHANG Liang;WU Tao;HU Wenjun-.An interference suppression algorithm for cognitive bistatic airborne radars)[J].系统工程与电子技术（英文版）,2022(03):585-593
A类：
mainlobe,intercep,Mainlobe
B类：
An,suppression,algorithm,cognitive,bistatic,airborne,radars,Interference,challenge,researchers,especially,when,sidelobe,coexist,We,present,comprehensive,anti,approach,risk,interception,reduced,by,lowering,launch,energy,transmitting,terminal,direction,interferences,are,suppressed,via,cooperation,between,received,single,extracted,from,overall,signal,using,multiple,classification,MUSIC,cross,located,different,azimuthal,angles,Neural,networks,allowing,good,linear,parametric,approximations,used,predict,location,this,information,then,preset,notch,antenna,likelihood,To,simultaneously,blocking,matrix,mask,adaptive,process,eliminated,data,Simulation,verifies,performance,model
AB值：
0.479867
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