Title :
LMS-based algorithm for unbiased FIR filtering with noisy measurements
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
fDate :
11/8/2001 12:00:00 AM
Abstract :
A computationally simple algorithm is developed for unbiased finite impulse response (FIR) filtering in the presence of white input and output noise, assuming that the power ratio of the interference is known. The estimation performance of the proposed method is contrasted with several conventional schemes under different signal conditions
Keywords :
FIR filters; filtering theory; identification; least mean squares methods; transient response; white noise; FIR system identification; LMS-based algorithm; computationally simple algorithm; estimation performance; finite impulse response filtering; interference power ratio; modified performance surface; noise power ratio; noisy measurements; signal conditions; unbiased FIR filtering; white input noise; white output noise;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010955
