A New Algorithm for Sparse Frequency Waveform Design with Range Sidelobes Constraint  

作　　者：WU Hao SONG Zhiyong FAN Hongqi LI Yunxiang FU Qiang 

机构地区：[1]ATR, National University of Defense Technology

出　　处：《Chinese Journal of Electronics》2015年第3期604-610,共7页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61101186,No.61101179)

摘　　要：To suppress narrowband interferences,sparse frequency waveform can be transmitted by wideband radar systems. It suffers the high range sidelobes. A new algorithm for sparse frequency waveform design with range sidelobes constraint is proposed. The approach affords much better frequency stopband suppression by flexibly controlling sidelobes constraint using Weighted integrated sidelobe level(WISL) metric. The approach is computationally efficient and can suit the more general Peakto-average power ratio(PAR) constraint. An extension to Multiple-input multiple-output(MIMO) radar case is also presented.To suppress narrowband interferences,sparse frequency waveform can be transmitted by wideband radar systems. It suffers the high range sidelobes. A new algorithm for sparse frequency waveform design with range sidelobes constraint is proposed. The approach affords much better frequency stopband suppression by flexibly controlling sidelobes constraint using Weighted integrated sidelobe level(WISL) metric. The approach is computationally efficient and can suit the more general Peakto-average power ratio(PAR) constraint. An extension to Multiple-input multiple-output(MIMO) radar case is also presented.

关 键 词：COGNITIVE radar SPARSE frequency WAVEFORM Weighted integrated SIDELOBE level(WISL) PAR 

分 类 号：TN958[电子电信—信号与信息处理]