摘要
提出了一种利用压缩感知原理测量微弱信号的方法,测量信号由伪随机序列调制,应用改造的测量矩阵,在一次测量基础上进行二次测量,利用压缩感知的恢复算法可以精确地确定信号在字典中的位置并且得到其幅度值。仿真实验证明本文方法可以用于检测信噪比高于-20 dB的微弱信号,将信号较完整地从噪声干扰中恢复出来,信号幅度误差很小。
This paper introduces the weak signal detection method by using compressive sensing principle. Input signal is modulated by a pseudo-random sequence. The secondary measuring was carried out on the basis of the original measuring by means of transforming the measurement matrix. The location of the signal in the dictionary can be accurately recognized by using compressive sensing recovery algorithm. The result has been proved by the simulation experiments. The noise and interfering signals within the weak signal can be eliminated as the small signalto-noise ratio of-20 dB. The signal can be recovered completely with little signal amplitude error.
出处
《微型机与应用》
2017年第8期76-78,82,共4页
Microcomputer & Its Applications
关键词
压缩感知
信号处理
微弱信号检测
信噪比
compressive sensing
signal processing
weak signal detection
signal noise ratio(SNR)
