Title :
Adaptive channel equalisation using least mean switched error norm algorithm
Author :
Jimaa, S.A. ; Cowan, C.F.N. ; Holt, M.J.J.
Author_Institution :
Loughborough Univ. of Technol., UK
Abstract :
A new algorithm for adaptive channel equalization is presented in this paper. The proposed algorithm consists of applying the Least Mean Fourth (LMF) algorithm and switching to the Least Mean Square (LMS) algorithm when the absolute value of error is greater than one. Using this algorithm yields a substantial improvement over the LMS algorithm. Performance of the proposed algorithm is compared with the LMS algorithm by means of computer simulation. The results show that the linear equalizers adapted by the proposed algorithm have lower estimation error and better bit error rate performance in comparison with the traditional LMS
Keywords :
adaptive equalisers; BER performance improvement; LMF algorithm; LMS algorithm; adaptive channel equalisation; bit error rate; estimation error reduction; least mean fourth algorithm; least mean square algorithm; least mean switched error norm algorithm; linear equalizers;
Conference_Titel :
Digital and Analogue Filters and Filtering Systems (Digest No. 1996/238), IEE Colloquium on
Conference_Location :
London
DOI :
10.1049/ic:19961269