Abstract Interference noise affects the ranging capability of terahertz radar signal detection. Aiming at the above problem, a method based on adaptive empirical mode decomposition and stochastic resonance system is proposed. With the preprocessing method of twice sampling, adaptive empirical mode decomposition, stochastic resonance system, and scale recovery, the optimal intrinsic mode function can be screened automatically, the optimal parameters can be obtained automatically and the ranging calculation can be completed. Experimental results demonstrate the effectiveness and superiority of the proposed adaptive system in achieving weak fault signal detection under heavy background noise.

中文翻译：

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一种高效检测太赫兹雷达信号的自适应经验模态分解与随机共振系统

摘要 干扰噪声影响太赫兹雷达信号检测的测距能力。针对上述问题，提出了一种基于自适应经验模态分解和随机共振系统的方法。采用二次采样、自适应经验模态分解、随机共振系统、尺度恢复等预处理方法，自动筛选最优固有模态函数，自动获取最优参数，完成测距计算。实验结果证明了所提出的自适应系统在重背景噪声下实现弱故障信号检测的有效性和优越性。