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。 Aiming at the need of on-line real-time detection of weak life signal under the background of strong noise, aiming at the signal processing part of life detection radar, a new method of weak life signal detection using traditional autocorrelation and stochastic resonance models is proposed. Firstly, this method uses the self-correlation detection method to denoise initially, and then uses the stochastic resonance method of double-cascade to extract the weak signals. In the stochastic resonance process of each layer, the frequency-domain compression method is adopted to make the signal satisfy the small adiabatic parameters. Simulation results show that this method can greatly improve the threshold of weak life signal detection.