@inproceedings{96c1bfe17c194584a304dc1c83243c97,
title = "Convergence evaluation of a random step-size NLMS adaptive algorithm in system identification",
abstract = "A new and simple method to adjust the step-size (μ) of the standard Normalized Least Mean Square (NLMS) adaptive algorithm is proposed here. The value of μ is totally controlled by the use of a Pseudorandom Noise (PRN) uniform distribution that is defined by values from 0 to 1. Randomizing the step-size parameter eliminates much of the trade-off between residual error and convergence speed compared with the fixed step-size. The mean-square error (MSE) of using the new algorithm in the adaptation process of system identification over a defined communication channel is investigated here. The proposed uniformly distributed step-size variation in the adaptation process of the NLMS algorithm makes it possible to have similar convergence rate but lower steady state error compared with fixed μ.",
keywords = "Adaptive algorithms, NLMS, System identification",
author = "Jimaa, \{S. A.\} and T. Shimamura",
year = "2010",
doi = "10.1109/ICOSP.2010.5657004",
language = "British English",
isbn = "9781424458981",
series = "International Conference on Signal Processing Proceedings, ICSP",
pages = "135--138",
booktitle = "ICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings",
note = "2010 IEEE 10th International Conference on Signal Processing, ICSP2010 ; Conference date: 24-10-2010 Through 28-10-2010",
}