Through-Wall Tracking of Human Movers Using Continuous-Wave Radar

An intelligent frequency fitting algorithm is presented for continuous-wave radar to track human movers through walls. With the proper fitting dimension, which is usually determined by the practical detection requirements, this technique can improve the localization accuracy and the tracking performance without introducing too much calculation burden, and more precisely identify different targets even in the frequency ambiguous areas. This technology can also help to match the estimation results to their corresponding targets automatically, which is of great importance to certain urban sensing applications, such as specific target surveillance and tracking. To further improve the detection performance and better identify the weak targets in the presence of strong noise, CLEAN algorithm and adaptive filter technology are also involved. Experimental results are provided to illustrate the algorithm performance.