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Performance evaluation of estimation methods based on analysis of mean square error bounds for the sparse channel  

Kim, Hyeon-Su (인하대학교 전자공학과 무선이동통신연구실)
Kim, Jae-Young (인하대학교 전자공학과 무선이동통신연구실)
Park, Gun-Woo (인하대학교 전자공학과 무선이동통신연구실)
Choi, Young-Kwan (한국수자원공사)
Chung, Jae-Hak (인하대학교 전자공학과 무선이동통신연구실)
Publication Information
Journal of Satellite, Information and Communications / v.7, no.1, 2012 , pp. 53-58 More about this Journal
Abstract
In this paper, we evaluate and analyze representative estimation methods for the sparse channel. In order to evaluate error performance of matching pursuit(MP) and minimum mean square error(MMSE) algorithm, lower bound of MMSE is determined by Cramer-Rao bound and compared with upper bound of MP. Based on analysis of those bounds, mean square error of MP which is effective in the estimation of sparse channel can be larger than that of MMSE according to the number of estimated tap and signal-to-noise ratio. Simulation results show that the performances of both algorithm are reversed on the sparse channel with Rayleigh fading according to signal-to-noise ratio.
Keywords
sparse channel; channel estimation; matching pursuit; mmse estimation;
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