基于稀疏重构的跳频信号时频分析方法

doi:10.3969/j.issn.1000-436x.2013.05.012

通信学报 ›› 2013, Vol. 34 ›› Issue (5): 107-112.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

沙志超,黄知涛,周一宇,王军华

国防科学技术大学电子科学与工程学院，湖南长沙 410073

出版日期:2013-05-25 发布日期:2017-06-27
基金资助:
新世纪优秀人才支持计划基金资助项目（NCET）

Time-frequency analysis of freqency-hopping signals based on sparse recovery

Zhi-chao SHA,Zhi-tao HUANG,Yi-yu ZHOU,Jun-hua WANG

School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China

Online:2013-05-25 Published:2017-06-27
Supported by:
The Program for New Century Excellent Talents in University of China (NCET)

摘要/Abstract

摘要：

摘要：针对现有时频分析方法存在噪声抑制能力弱、时频聚集性不强的缺点，提出了一种基于稀疏重构的跳频信号时频分析方法来获取清晰的、高聚集度的时频图。首先根据惩罚函数的思想建立了跳频信号无约束的稀疏重构模型；然后理论分析了罚函数因子的取值标准；最后用近似l₀范数算法求解得出跳频信号的时频图。仿真结果表明该算法能够有效地获取跳频信号的时频图。

关键词: 跳频信号, 稀疏重构, 时频分析, 近似l0范数

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 l₀norm finally.The simulation results show that this method is capable of getting clear time-frequency pattern.

Key words: frequency-hopping signals, sparse recovery, time-frequency analysis, approximate l0norm

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, 34(5): 107-112.

Zhi-chao SHA,Zhi-tao HUANG,Yi-yu ZHOU,Jun-hua WANG. Time-frequency analysis of freqency-hopping signals based on sparse recovery[J]. Journal on Communications, 2013, 34(5): 107-112.

图/表 4

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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

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