基于自相关功率谱的生命迹象探测算法

在实际雷达生命迹象探测环境中，干扰噪声往往不是理想的高斯白噪声，而是非零均值、且具有相关性的高斯状色噪声。针对互功率谱算法在非理想高斯白噪声背景下提高信噪比能力有限这一问题，通过对其不足与缺陷的分析，提出一种在高斯状色噪声条件下，应用于步进频连续波生命探测雷达，基于自相关功率谱的生命迹象探测算法。该算法利用源目标回波信号的自相关性，对基带回波信号进行自相关处理，以此增强源目标信号功率谱密度，提高信噪比，提升探测性能。通过仿真，证明了该算法提升信噪比能力。同时利用步进频连续波生命探测雷达进行实际测试，统计、分析了探测环境中的噪声模型与数字特征，验证了自相关功率谱在实际探测环境中，具有更强的生命迹象检测性能。

Life Detection Based on Auto-Correlation Power Spectrum

In the real environment of life detection by use of radar, signal is always disturbed by Gaussi an color noise, not Gaussian white noise. The life detection method based on cross-correlation has a poor ability to enhance SNR in the background of Gaussian color noise. To solve this problem, a life detection method based on auto-correlation analysis is proposed. The method is applied in step frequency continuous wave radar and adapts to Gaussian color noise interference. Taking advantage of target signal auto correla tion, target signal energy is enhanced to improve SNR. The new method has Been proved to be capable of ef fectively improving SNR by simulation. And the real data from step frequency continuous wave radar detec tion illustrate the theoretical validity.