基于双频连续波的微摄动目标探测算法

Detection Algorithm for Micro-Motion Target Based on Dual-Frequency CW Radar

针对穿墙雷达在灾难救援方面的应用,提出了基于双频连续波体制雷达对诸如废墟下由于呼吸引起轻微起伏波动的人体等微摄动目标进行探测的新方法。首先根据目标特点,将目标回波建立成正弦调频回波模型,并对其进行分析;然后提出FFT比相法测距算法,检测出废墟下人体目标到探测雷达的距离;接着通过将两个通道信号互相关,在低信噪比环境下检测出有生命目标(废墟下人体)的呼吸频率,实现对有生命体目标的探测。通过仿真实验,验证了该方法的可行性。并且该方法也可运用于对其他微摄动目标的探测。

For the applications in disaster relief of through-wall radar, we propose a new method based on dual-frequency CW radar system for the detection of micro-motion target, such as human body under the ruins. First, according to the characteristics of target, we build a positive rotation frequency modulation model for the target echo and make analysis. Then, we propose the ranging algorithm based on phase com- parison from FFT to detect the distance from target to radar; and next, by the cross-correlation of the two channel signals, we can obtain the breathing frequency of micro-motion target（human body under the ruins） in low SNR environment. By the simulation test, the feasibility of this method is verified. And this method also can he used to other micro-motion target.