An iterative singular vector decomposition based micro-motion target indication in through-the-wall radar

Human target indication and detection are widely used in military and civil applications. For stationary human targets behind an obstacle, the micro-motion caused by vital sign results in a fairly low signal-to-clutter-and-noise (SCNR). This study presents an iterative singular vector decomposition (ISVD) based micro-motion indication method for detecting human targets with through-the-wall radar. First, singular vector decomposition (SVD) with stepped frequency signal is analyzed, and then iterative SVD is proposed to indication micro-motion human targets. Through this iterative process, the residual clutter and noise are effectively removed. Simulation and experimental results indicate that the ISVD based method is robust to noise and improve SCNR remarkably.