Title :
Tracking analysis of normalized adaptive algorithms
Author :
Moinuddin, Muhammad ; Zerguin, Azzedine
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
Tracking analysis of normalized adaptive algorithms is carried out in the presence of two sources of nonstationarities: carrier frequency offset between transmitter and receiver; random variations in the environment. A unified approach is carried out using a mixed-norm-type error nonlinearity. Close agreement between analytical analysis and simulation results is obtained for the case of the NLMS algorithm. The results show that, unlike the stationary case, the steady-state excess-mean-square error is not a monotonically increasing function of the step-size, while the ability of the adaptive algorithm to track the variations in the environment degrades by increasing the frequency offset.
Keywords :
adaptive filters; least mean squares methods; radio receivers; radio transmitters; telecommunication channels; tracking filters; NLMS algorithm; adaptive filtering algorithms; carrier frequency offset; channel equalization; channel estimation; communication systems; excess-mean-square error; intersymbol interference cancellation; mixed-norm error nonlinearity; normalized adaptive algorithms; random environmental variations; receiver; steady-state error; tracking analysis; transmitter; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Analytical models; Frequency; Least squares approximation; Minerals; Noise measurement; Performance analysis; Petroleum;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1201762
