通信学报2017，Vol.38Issue(12)：48-56,9.DOI:10.11959/j.issn.1000-436x.2017288
基于压缩感知的跳频信号参数盲估计算法
Blind parameter estimation algorithm for frequency-hopping signals based on compressed sensing
摘要
Abstract
A blind parameter estimation algorithm for frequency-hopping signals based on compressed sensing was pro-posed,in order to solve the problem that the existing parameter estimation algorithms did not take into account the sparse structural characteristics of the signals in frequency domain.Firstly,the maximum cosine method was used to process the segmented compressed sampling signals,and the hopping frequency was estimated.Then,the atom matching algorithm was used to process the signal with the hopping point,and the frequency hopping instance time was estimated accurately.Then the hopping speed and hopping time were estimated.The experimental results show that the algorithm can signifi-cantly reduce the sampling data and computational complexity,while improving estimation accuracy.关键词
跳频信号/压缩采样/参数估计/原子匹配Key words
frequency-hopping signal/compressive sampling/parameter estimation/atomic matching分类
信息技术与安全科学引用本文复制引用
付云红,张云飞,韦娟,刘乃安..基于压缩感知的跳频信号参数盲估计算法[J].通信学报,2017,38(12):48-56,9.基金项目
国家自然科学基金资助项目(No.61201134) （No.61201134）
高等学校学校引智计划基金资助项目(No.1308038)The National Natural Science Foundation of China(No.61201134),The Discipline Innovative Engineering Plan (No.1308038) （No.1308038）
