雷达科学与技术2017，Vol.15Issue(2)：159-165,7.DOI:10.3969/j.issn.1672-2337.2017.02.009
基于主优化算法的雷达波形设计
Radar Waveform Design Based on Majorization-Minimization Algorithm
摘要
Abstract
To tackle the sophisticated radar scene,a novel method based on majorization-minimization mechanism is presented to design waveforms with low correlation sidelobes and sparse spectrum.Firstly,the unimodular waveform,in the case of minimizing the integrated sidelobe level as well as suppressing the congested spectrum,is formulated.Next,the objective function incorporating the idea of majorization-minimization is derived,and then,the MISL algorithm and the weighted spectral-MISL algorithm are proposed.Simulations demonstrate that these algorithms can obtain low integrated sidelobe level and sparse spectrum in the suppressed bands,which also performed for long waveforms.关键词
稀疏频谱/恒模波形/低相关旁瓣/主优化(MM)算法Key words
sparse spectrum/unimodular waveform/low correlation sidelobe/majorization-minimization(MM) algorithm分类
信息技术与安全科学引用本文复制引用
宋阳春,唐旭艳,冯翔,赵宜楠..基于主优化算法的雷达波形设计[J].雷达科学与技术,2017,15(2):159-165,7.基金项目
国家自然科学基金(No.61371181) （No.61371181）
