[논문]Kurtosis Driven Variable Step-Size Normalized Least Mean Square Algorithm for RF Repeater

Han, Yong-Sik; Yang, Woon-Geun

doi:10.6109/jicce.2010.8.2.159

[국내논문] Kurtosis Driven Variable Step-Size Normalized Least Mean Square Algorithm for RF Repeater 원문보기

International journal of maritime information and communication sciences, v.8 no.2, 2010년, pp.159 - 162

Han, Yong-Sik (Department of Electronics Engineering, University of Incheon) , Yang, Woon-Geun (Department of Electronics Engineering, University of Incheon)

Abstract ▼ AI-Helper

This paper presents a new Kurtosis driven Variable Step-Size Normalized Least Mean Square (KVSSN-LMS) algorithm to prevent repeater from oscillation due to feedback signal of radio frequency (RF) repeater. To get better Mean Square Error (MSE) performance, step-size is adjusted using the kurtosis. The proposed algorithm shows the better performance of steady state MSE. The proposed algorithm shows a better ERLE performance than that of KVSS-LMS, VSS-NLMS, NLMS algorithms.

Keyword

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제안 방법

iteration time between NLMS, VSS-NLMS, KVSS-LMS algorithm and proposed algorithm. The proposed algorithm has better MSE performance by 5dB to 25dB than KVSS-LMS, VSS-NLMS, NLMS algorithms.
The simulation results show that the proposed KVSSNLMS algorithm has a better MSE performance that that of other algorithms. The proposed algorithm has 5dB to 25dB better MSE performance compared to KVSS-LMS, VSS-NLMS, NLMS algorithms. The proposed algorithm shows a better ERLE performance with increased iterations.

이론/모형

In this paper, we propose a new Kurtosis driven Variable Step Size Normalized Least Mean Square (KVSS-NLMS) algorithm, which utilizes kurtosis to adjust the step sizes, for canceling the feedback interference signals in the repeater for Wideband Code Division Multiple Access (WCDMA, 1920 — 2170 MHz) bands. Its target is to decrease Mean Square Error (MSE) and obtaining a good echo return loss enhancement (ERLE)[3].

참고문헌 (13)

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상세보기
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상세보기
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상세보기
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상세보기
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상세보기
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