Convergence performances of various adaptive filter algorithms with application to system identification

Shihab Jimaa; Saeed Al-Ali

doi:10.1109/IEEEGCC.2011.5752585

Convergence performances of various adaptive filter algorithms with application to system identification

Shihab Jimaa, Saeed Al-Ali

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper examines the performance of mean square error (MSE) using various adaptive filtering algorithms in the adaptation process of system identification over two defined communication channels. The MSE performances of the proposed algorithms are compared with that of the standard Normalized Least Mean Square (NLMS) algorithm. To enhance the adaptation performance, non-mean-square algorithms have been utilized, for instant, Least Mean Fourth (LMF) algorithm. Also, switching algorithm led to better performance. In this paper, random step size NLMS, switching between NLMS and LMF, and LMSF mixed norm algorithms have been implemented and their performances over two defined Finite Impulse Response (FIR) channels were tested in comparison with the standard NLMS.

Original language	British English
Title of host publication	2011 IEEE GCC Conference and Exhibition, GCC
Pages	509-512
Number of pages	4
DOIs	https://doi.org/10.1109/IEEEGCC.2011.5752585
State	Published - 2011
Event	2011 IEEE GCC Conference and Exhibition, GCC 2011 - Dubai, United Arab Emirates Duration: 19 Feb 2011 → 22 Feb 2011

Publication series

Name	2011 IEEE GCC Conference and Exhibition, GCC 2011

Conference

Conference	2011 IEEE GCC Conference and Exhibition, GCC 2011
Country/Territory	United Arab Emirates
City	Dubai
Period	19/02/11 → 22/02/11

Keywords

NLMS
Non-quadratic algorithms
system identification

Access to Document

10.1109/IEEEGCC.2011.5752585

Cite this

@inproceedings{6f21ea8ba1e94ac790d6c064c678ff4d,

title = "Convergence performances of various adaptive filter algorithms with application to system identification",

abstract = "This paper examines the performance of mean square error (MSE) using various adaptive filtering algorithms in the adaptation process of system identification over two defined communication channels. The MSE performances of the proposed algorithms are compared with that of the standard Normalized Least Mean Square (NLMS) algorithm. To enhance the adaptation performance, non-mean-square algorithms have been utilized, for instant, Least Mean Fourth (LMF) algorithm. Also, switching algorithm led to better performance. In this paper, random step size NLMS, switching between NLMS and LMF, and LMSF mixed norm algorithms have been implemented and their performances over two defined Finite Impulse Response (FIR) channels were tested in comparison with the standard NLMS.",

keywords = "NLMS, Non-quadratic algorithms, system identification",

author = "Shihab Jimaa and Saeed Al-Ali",

year = "2011",

doi = "10.1109/IEEEGCC.2011.5752585",

language = "British English",

isbn = "9781612841199",

series = "2011 IEEE GCC Conference and Exhibition, GCC 2011",

pages = "509--512",

booktitle = "2011 IEEE GCC Conference and Exhibition, GCC",

note = "2011 IEEE GCC Conference and Exhibition, GCC 2011 ; Conference date: 19-02-2011 Through 22-02-2011",

}

Jimaa, S & Al-Ali, S 2011, Convergence performances of various adaptive filter algorithms with application to system identification. in 2011 IEEE GCC Conference and Exhibition, GCC., 5752585, 2011 IEEE GCC Conference and Exhibition, GCC 2011, pp. 509-512, 2011 IEEE GCC Conference and Exhibition, GCC 2011, Dubai, United Arab Emirates, 19/02/11. https://doi.org/10.1109/IEEEGCC.2011.5752585

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AU - Jimaa, Shihab

AU - Al-Ali, Saeed

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N2 - This paper examines the performance of mean square error (MSE) using various adaptive filtering algorithms in the adaptation process of system identification over two defined communication channels. The MSE performances of the proposed algorithms are compared with that of the standard Normalized Least Mean Square (NLMS) algorithm. To enhance the adaptation performance, non-mean-square algorithms have been utilized, for instant, Least Mean Fourth (LMF) algorithm. Also, switching algorithm led to better performance. In this paper, random step size NLMS, switching between NLMS and LMF, and LMSF mixed norm algorithms have been implemented and their performances over two defined Finite Impulse Response (FIR) channels were tested in comparison with the standard NLMS.

AB - This paper examines the performance of mean square error (MSE) using various adaptive filtering algorithms in the adaptation process of system identification over two defined communication channels. The MSE performances of the proposed algorithms are compared with that of the standard Normalized Least Mean Square (NLMS) algorithm. To enhance the adaptation performance, non-mean-square algorithms have been utilized, for instant, Least Mean Fourth (LMF) algorithm. Also, switching algorithm led to better performance. In this paper, random step size NLMS, switching between NLMS and LMF, and LMSF mixed norm algorithms have been implemented and their performances over two defined Finite Impulse Response (FIR) channels were tested in comparison with the standard NLMS.

KW - NLMS

KW - Non-quadratic algorithms

KW - system identification

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U2 - 10.1109/IEEEGCC.2011.5752585

DO - 10.1109/IEEEGCC.2011.5752585

M3 - Conference contribution

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SN - 9781612841199

T3 - 2011 IEEE GCC Conference and Exhibition, GCC 2011

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BT - 2011 IEEE GCC Conference and Exhibition, GCC

T2 - 2011 IEEE GCC Conference and Exhibition, GCC 2011

Y2 - 19 February 2011 through 22 February 2011

ER -

Convergence performances of various adaptive filter algorithms with application to system identification

Abstract

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Keywords

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