Journal of Applied Sciences ›› 2012, Vol. 30 ›› Issue (6): 601-606.doi: 10.3969/j.issn.0255-8297.2012.06.007

• Signal and Information Processing • Previous Articles     Next Articles

Improved LMS Adaptive Filter with Convex Combined Variable Fractional Tap-Length

RUI Guo-sheng1, MIAO Jun2, ZHANG Yang2, XU Bin2, ZHANG Song2   

  1. 1. Electronic Information Engineering Department, Naval Aeronautical and Astronautical University,
    Yantai 264001, Shandong Province, China
    2. Graduate Students’ Brigade, Naval Aeronautical and Astronautical University,
    Yantai 264001, Shandong Province, China
  • Received:2011-04-21 Revised:2011-07-28 Online:2012-11-27 Published:2011-07-28

Abstract: In digital filters, the parameter setting and SNR affect performance of the variable order least mean square (LMS) algorithm, especially in a variable noise environment. Stable performance of variable order LMS is an important factor in the evaluation of filters. This paper analyzes stability of convex combined variable tap-length LMS. According to the variable error width, convex combination of adaptive filters for variable fractional tap-length LMS algorithm based on variable width is proposed. Theoretical analysis and simulation results show that, in a variable noise environment, the proposed algorithm can better suit the environment and converge faster, and is more stable in tap-length, as compared to other techniques including convex combination of adaptive filters for variable fractional tap-length LMS algorithm and adaptive filters for a variable tap-length LMS algorithm based on variable error width.

Key words: adaptive filter, least mean square, convex combination, variable tap-length, variable error width

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