摘要
针对生命探测雷达的信号处理部分对于强噪声背景下微弱生命信号探测不能满足在线实时性的需要,提出了一种新的综合运用传统自相关检测和随机共振模型的微弱生命信号检测新方法。该方法前期首先利用自相关检测方法初步去噪,再利用双层级联形式的随机共振方法提取微弱信号,在每一层随机共振处理中采用频域压缩的思路使信号满足绝热小参数条件。仿真分析表明,该方法使得微弱生命信号检测的门限值得到极大的提高。
For the signal processing of life detection radar could not satisfy the needs of the online and real-time detection of the weak life signal under the strong noisy background. In order to solve this problem, a new detection method based on the combination of traditional autocorrelation detection and stochastic resonance theory is proposed to detect the weak life signals. The proposed method first use the autocorrelation detection to implement initial noise filtering, and then with double-layer cascaded stochastic resonance, extracts the weak life signal. In each layer＇ s stochastic resonance processing, the idea of frequency-domain compression is adopted to satisfy the conditions of adiabatic and small parameter. Simulation analysis shows that the proposed method could greatly raise the signal-to-noise ratio threshold of weak life signals.
出处
《通信技术》
2012年第10期75-77,81,共4页
Communications Technology
基金
长治学院校级科研项目(No.201218)
关键词
微弱生命信号检测
随机共振
频域压缩
自相关检测
信噪比
weak life signal detection
stochastic resonance
frequency compression
autocorrelation detection
signal-to-noise ratio
