Title :
Performance analysis of direct signal and surface clutter cancellation for bistatic noise radar with LMS filter
Author :
Lu, Zhenxing ; Gao, Meiguo ; Li, Yunjie ; Cheng, Siwen
Author_Institution :
Radar Res. Lab., Beijing Inst. of Technol., Beijing, China
Abstract :
Direct signal and surface clutter cancellation is an important problem in bistatic noise radar. LMS filter is employed to suppress the direct signal and clutter in this work. Direct signal and clutter cancellation ratio (DCR) is used to evaluate the performance of suppression. The impact of two factors, SNR of reference signal and fractional delay of clutter, is analyzed. The analysis is verified by numerical simulation.
Keywords :
filtering theory; least mean squares methods; performance evaluation; radar clutter; radar signal processing; DCR; LMS filter; bistatic noise radar; clutter fractional delay; direct signal and surface clutter cancellation ratio; least-mean-square filter; numerical simulation; performance evaluation; Clutter; Delay; Least squares approximation; Radar clutter; Signal to noise ratio; LMS; bistatic noise radar; direct signal cancellation; fractional delay; reference signal;
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
DOI :
10.1109/INDIN.2012.6301167
