Title :
Adaptive linear-phase complex filtering algorithms
Author_Institution :
Xian Res. Inst. of Navigation Technol., China
fDate :
10/1/1988 12:00:00 AM
Abstract :
Discusses the problem of complex adaptive filtering with linear-phase. By deriving the real version of the Wiener equation subject to the linear-phase constraint, the problem of complex filters can be treated in a real way instead of a complex one. The real modified LMS, RLS, Kalman-type algorithms and steered LMS algorithm are introduced to solve the Wiener equation (the last algorithm is for a steered problem in which the beam-steering vector is determined from the signal power spectrum). It is noted that the number of real-time multiplications required by the presented algorithms are about half of those required by conventional complex ones when implementing an adaptive filter.
Keywords :
filtering and prediction theory; least squares approximations; Kalman-type algorithms; RLS algorithm; Wiener equation; adaptive filter; beam-steering vector; complex adaptive filtering; complex filtering algorithms; linear-phase; real modified LMS; real-time multiplications; signal power spectrum; steered LMS algorithm;
Journal_Title :
Radar and Signal Processing, IEE Proceedings F