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SNR-independent Methods for Estimating Maximum Doppler Frequency  

Yu Hyun-kyu (연세대학교 전기전자공학과 정보통신 연구실)
Park Goo-hyun (연세대학교 전기전자공학과 정보통신 연구실)
Oh Seong-Mok (연세대학교 전기전자공학과 정보통신 연구실)
Kang Chang-eon (연세대학교 전기전자공학과 정보통신 연구실)
Hong Dae-sik (연세대학교 전기전자공학과 정보통신 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.30, no.6C, 2005 , pp. 475-480 More about this Journal
Abstract
Information of the maximum Doppler frequency enable to optimize many channel-adaptive techniques and radio resource management methods for mobile radio communication systems. In this paper, we propose two maximum Doppler frequency estimators which are based on the level crossing rate(LCR) and the covariance function (COV). To eliminate the effect of additive noise, we analyze the conditions for the estimators independent of the signal-to-noise ratio(SNR) and implement the conditions with a simple downsampling process. The proposed methods achieve good SNR-independent performance.
Keywords
Maximum Doodler frequency estimation; Noise suppression; Down sampling;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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