A PARAFAC Blind Signal Detection Algorithm for AAF-MH Cooperative Scheme

doi:10.13190/jbupt.201301.82.hanx

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (1): 82-85.doi: 10.13190/jbupt.201301.82.hanx

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A PARAFAC Blind Signal Detection Algorithm for AAF-MH Cooperative Scheme

^{HAN Xi, YUAN Chao-wei, HU Zi-wei}

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2012-05-23 Revised:2012-06-27 Online:2013-02-28 Published:2013-01-19
Contact: Xi HAN E-mail:jinlucky333@126.com

Abstract

Abstract:

The decoding of multi-hop Alamouti amplify and forward (AAF-MH) cooperation scheme usually needs channel state information, which is difficult to acquire in practical systems. To solve this problem, a parallel factor (PARAFAC)-based blind signal detection algorithm is proposed. This algorithm transforms received signals into a PARAFAC model which contains channel and signal information, and uses the bilinear alternating least square for the global convergence. Compared with constant modulus algorithm, the proposed algorithm is with better performance, such as more stable fitting results, and can realize uniqueness of parameter estimation. Simulation is given to support the analysis.

Key words: parallel factor, blind detection, multi-hop Alamouti amplify and forward, uniqueness

CLC Number:

TN929.53

HAN Xi, YUAN Chao-wei, HU Zi-wei. A PARAFAC Blind Signal Detection Algorithm for AAF-MH Cooperative Scheme[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(1): 82-85.

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A PARAFAC Blind Signal Detection Algorithm for AAF-MH Cooperative Scheme

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