Improvement of the linear blind channel identification algorithms based on second-order statistics

Yiling Xu; Qicong Peng; Yubai Li

doi:10.1117/12.514691

28 April 2004 Improvement of the linear blind channel identification algorithms based on second-order statistics

Yiling Xu, Qicong Peng, Yubai Li

Proceedings Volume 5284, Wireless Communications and Networks; (2004) https://doi.org/10.1117/12.514691
Event: Asia-Pacific Optical and Wireless Communications, 2003, Wuhan, China

Abstract

The main blind channel identification methods based on second order statistics include linear prediction algorithm (LPA), outer product decomposition algorithm (OPDA), multi-step linear prediction algorithm (MSLP), least square smoothing algorithm (LSS), and constrained minimum output energy algorithm (CMOE). But the simulations show that the channel couldn't be identified. This paper will analyze these algorithms and point out the reason. The problem happens at the second step. The method based on second order statistics induces an unidentified sign and an indeterminable scale that result in the failure of channel identification. This problem can be resolved in the digital communication system.

Citation Download Citation

Yiling Xu, Qicong Peng, and Yubai Li "Improvement of the linear blind channel identification algorithms based on second-order statistics", Proc. SPIE 5284, Wireless Communications and Networks, (28 April 2004); https://doi.org/10.1117/12.514691

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