Title :
Ability of adaptive filters to track carrier offsets and channel nonstationarities
Author :
Yousef, Nabil R. ; Sayed, Ali H.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fDate :
7/1/2002 12:00:00 AM
Abstract :
This paper studies the tracking performance of adaptive filters operating in the presence of two sources of nonstationarities: carrier frequency offsets and random channel variations. Both impairments are common in digital communications due to mismatches between transmitter and receiver carrier generators and channel fading. The paper derives expressions for the mean-square error and shows how filter performance is degraded under such nonstationary conditions. Selections of step sizes for optimal tracking performance are derived, different adaptive algorithms are compared, and supporting simulation results are provided
Keywords :
adaptive filters; adaptive signal processing; fading channels; filtering theory; mean square error methods; tracking filters; MSE; adaptive algorithms; adaptive filters; carrier offset tracking; channel fading; channel nonstationarity tracking; digital communications; filter performance; mean square error; optimal tracking performance; random channel variations; receiver carrier generator; simulation results; step sizes; transmitter carrier generator; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Degradation; Digital communication; Fading; Filtering algorithms; Finite impulse response filter; Frequency; Transmitters;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2002.1011194
