An Approximated RLS Algorithm for Adaptive Parameter Estimation 


Vol. 32,  No. 9, pp. 922-928, Sep.  2007


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  Abstract

This paper presents the fast adaptive algorithm which applies an approximation scheme into RLS algorithm. The proposed algorithm(D-RLS) derives a QRD RLS algorithm derivation process from RLS algorithm recursively. D-RLS has the similar pattern as the algorithm having the approximation that input signals are separated respectively. Computational complexity of D-RLS is O(N), fewer than O(N²). To evaluate performance of proposed algorithm, we use the system identification method of FIR and Volterra system. And, finally, we can show D-RLS has an excellent performance.

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  Cite this article

[IEEE Style]

B. Ahn, J. Hwang, J. R. Ryoo, J. Cho, "An Approximated RLS Algorithm for Adaptive Parameter Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 9, pp. 922-928, 2007. DOI: .

[ACM Style]

Bong-Man Ahn, JeeWon Hwang, Jung Rae Ryoo, and Juphil Cho. 2007. An Approximated RLS Algorithm for Adaptive Parameter Estimation. The Journal of Korean Institute of Communications and Information Sciences, 32, 9, (2007), 922-928. DOI: .

[KICS Style]

Bong-Man Ahn, JeeWon Hwang, Jung Rae Ryoo, Juphil Cho, "An Approximated RLS Algorithm for Adaptive Parameter Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 9, pp. 922-928, 9. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880