一种基于分布式穿墙雷达的复杂条件下人体目标检测方法

超宽带雷达由于具有距离分辨率高、穿透性强等特点,被广泛应用于废墟下的人体救援.然而,在复杂的环境条件下,依靠单台雷达对被困人员进行检测是一个巨大的挑战.该文基于分布式穿墙雷达系统,提出一种低信噪比条件下的人体目标自动检测方法.首先,两台超宽带脉冲雷达分时交替进行工作,从而避免探测时的互相干扰;然后对两台雷达的回波数据进...

A Human Target Detection Method under Complex Conditions by Distributed Through-Wall Radar System

Ultra-wideband radar is widely used for human rescue under ruins, due to its high range resolution and high penetration capability. However, it is difficult to rely on a single radar to detect trapped persons, under complex conditions. In this paper, a human respiration detection method under low Signal-to-Noise Ratio (SNR) conditions by distributed through-wall radar is proposed. First, two ultra-wideband impulse radars use time-division multiplexing to prevent mutual interference. Secondly, the slow-time dimension cross-correlation processing is performed on the echo data of the two radars to enhance the human respiration signal. Thirdly, the automatic detection algorithm is improved based on constant false alarm ratio to make it suitable for the distributed through-wall radar and realize automatic and fast detection. Finally, the trilateration algorithm is used to locate the trapped persons. A series of experimental results show that the method proposed can realize human detection under low SNR conditions, and its detection performance is better than that of a single radar.