Detection of micro-motion targets in buildings for through-the-wall radar

Abstract

In this paper, a micro-motion target detection approach behind an obstacle is presented using a stepped-frequency through-the-wall radar. First, the micro-motion target model is established, and the human movement includes periodical respiration and heart beating, as well as random body movement and sudden body shaking, which is close to the realistic human movement. Then the procedure of micro-motion targets detection is brought about. The micro-motion target location is unvarying during the survey time, so the accumulation of every range cell in slow time dimension is reasonable, which improves the SCNR remarkably. Finally, one dimensional CFAR is performed to detect micro-motion targets. Experimental results demonstrate that the proposed approach can detect micro-motion targets in buildings and distinguish them from stationary targets correctly and effectively.