通信学报Issue(5)：107-112,6.DOI:10.3969/j.issn.1000-436x.2013.05.012
基于稀疏重构的跳频信号时频分析方法
Time-frequency analysis of freqency-hopping signals based on sparse recovery
摘要
Abstract
To overcome the common shortcomings shared by the existing methods: weak suppression noise interference and feeble performance of time-frequency concentration, a novel time-frequency analysis method based on sparse repre-sentation was developed , which could get clear and concentrate time-frequency representation. Firstly, the unconstrained sparse representation model of FH signals was established according to the punish function theory. Then, the guideline of punish parameters were analysed theoretically and got time-frequency representation by sloving the optimization problem used approximate l0 norm finally. The simulation results show that this method is capable of getting clear time-frequency pattern.关键词
跳频信号/稀疏重构/时频分析/近似l0范数Key words
frequency-hopping signals/sparse recovery/time-frequency analysis/approximate l0 norm分类
信息技术与安全科学引用本文复制引用
沙志超,黄知涛,周一宇,王军华..基于稀疏重构的跳频信号时频分析方法[J].通信学报,2013,(5):107-112,6.基金项目
新世纪优秀人才支持计划基金资助项目（NCET）Foundation Item：The Program for New Century Excellent Talents in University of China (NCET) （NCET）
