摘要
针对在OFDM通信系统中,基于压缩感知的窄带干扰检测时间过长的问题,提出了将自适应匹配追踪算法应用到压缩感知理论的信号重构过程中的算法。该算法可在未知干扰稀疏度的情况下,自适应地调整候选集原子的个数,在低于奈奎斯特采样频率前提下,快速实现单个及多个窄带干扰信号检测。仿真结果表明:所提算法能够有效地实现窄带干扰检测且运行速度快,改善了OFDM通信系统的性能。
With orthogonal frequency-division multiplexing （ OFDM） , there is a problem with taking a long time to detect narrow band interference based on SAMP . This paper proposes an algorithm in which the adaptive matching pursuit algorithm is applied to the signal reconstruction of compressed sensing. The algorithm can automatically ad-just the number of atoms in the candidate set without knowing the prior information of the sparsity, and can realize the detecting single and multiple narrow band interference signals quickly below the Nyquist sampling rate. Simula-tion results show that the proposed algorithm can achieve the detection of narrow band interference accurately and has the merits of running faster which improves the performance of the OFDM communication system.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2014年第7期908-912,共5页
Journal of Harbin Engineering University
基金
国家自然科学基金资助项目(61175126)
中央高校基本科研业务费专项资金资助项目(HEUCFZ1209)
教育部博士点基金资助项目(20112304110009)
关键词
正交频分复用
窄带干扰
压缩感知
自适应匹配追踪算法
稀疏度
信号重构
orthogonal frequency-division multiplexing
narrow band interference
compressed sensing
sparsity a-daptive matching pursuit （SAMP）
sparseness
signal reconstruction
