Title :
Noncausal least mean square adaptive interference canceller for passive radar
Author :
Zhao Yaodong ; Lu Xiaode ; Li Jichuan ; Xiang Maosheng
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Microwave Imaging, Inst. of Electron., Beijing, China
Abstract :
A noncausal least-mean-squares (LMS) adaptive canceller for interference canceling of passive coherent location (PCL) radar is presented in this letter. The canceller is similar to a filter or estimator to minimize the difference between the echo and weighted reference signals. Considering the phenomenon of fractional delay (FD), which is inevitable in practical application, a noncausal LMS (NCLMS) algorithm based on the interpolation theory is presented and its benefits are validated by numerical simulating and experimental data.
Keywords :
delays; interference suppression; interpolation; least mean squares methods; passive radar; radar interference; FD; NCLMS algorithm; PCL radar; echo reference signal; estimation theory; filter; fractional delay; interpolation theory; noncausal least mean square adaptive interference canceller; numerical simulation; passive coherent location radar; weighted reference signal; Adaptive filters; Delay effects; Delays; Interference; Least squares approximations; Passive radar; Passive radar; fractional delay; interference canceling; least-mean-squares(LMS); noncausal;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
DOI :
10.1109/ICSPCC.2013.6664051
