A Simplified Posteriori Estimator to Cascade Channel based on Amplify-and-Forward Multi-relaying Systems | Zendy

Haibin Liu | Zendy; Hong Ding | Zendy; Jibing Yuan | Zendy; Linhua Zheng | Zendy; Shuai Wang | Zendy

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A Simplified Posteriori Estimator to Cascade Channel based on Amplify-and-Forward Multi-relaying Systems

Author(s) -

Haibin Liu,

Hong Ding,

Jibing Yuan,

Linhua Zheng,

Shuai Wang

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.07.008

Subject(s) - maximum a posteriori estimation , estimator , computer science , cascade , algorithm , channel (broadcasting) , a priori and a posteriori , moment (physics) , mathematical optimization , statistics , mathematics , maximum likelihood , telecommunications , philosophy , chemistry , physics , epistemology , chromatography , classical mechanics

This paper analyzes the cascade channel estimation of Amplify-and-Forward (AF) multi-relaying systems. To improve the accuracy, a maximum a posteriori (MAP) estimator is obtained with the prior probability distribution function (PDF) of the cascade channel. For lessening the computational amount of the MAP method, the complicated generalized-K distribution is approximated with a Gamma PDF based on the moment-matching method. Moreover, a closed-form and simplified MAP (sMAP) estimator is derived. Numerical simulation shows that the proposed sMAP estimator decreases the computational duration sharply than the MAP method with marginal performance loss, and outperforms its least square (LS) counterpart in the low SNR region

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