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28 April 2004 Improvement of the linear blind channel identification algorithms based on second-order statistics
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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