A CFAR Localization Algorithm for Through-wall Radar Based on the Improved Frequency Fitting Technology

To solve the issue of high false-alarm rate and the target missing effect in frequency ambiguous areas during the detection process, a CFAR localization algorithm based on the high dimensional frequency fitting technology is proposed in this paper. For this algorithm, the CFAR technology is first applied to real-time adjust the system noise threshold and suppress the rising of the fake targets. Then it takes advantage of the two-dimensional fitting process to realize the preliminary recognition and estimation of the components. Finally, based on the practical demands of the detection, the adaptive frequency fitting algorithm is used to modify the coefficients of the identified components and locate the targets accurately. Experimental results prove that the proposed new algorithm can effectively eliminate the false targets, improve the system adaptability to different detection environments and precisely identify multiple targets even in frequency ambiguous area.