22 August 2002 Problem of linear predictive algorithms for blind multichannel identification
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Proceedings Volume 4911, Wireless and Mobile Communications II; (2002) https://doi.org/10.1117/12.480528
Event: Asia-Pacific Optical and Wireless Communications 2002, 2002, Shanghai, China
Abstract
Traditionally, blind channel identification/equalization techniques have been based on higher-order statistics, which are known to suffer from many drawbacks. Later some methods using only second order statistics have been proposed, and it's a major breakthrough. The main methods based on second order statistics include linear prediction algorithm (LPA)[ 1][2], outer product decomposition algorithm (OPDA)[3]{4], multi-step linear prediction algorithm (MSLP)[5], least square smoothing algorithm (LSS)[7], and constrained minimum output energy algorithm (CMOE)[6]. But the simulations ofthese algorithms show that the channel couldn't be identified because there still needs other condition, which couldn't be got for knowing nothing about the channel in the whole blind condition. This paper will analyze these algorithms and point out the reason that results in the failure of channel identification.
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Yiling Xu, Qicong Peng, "Problem of linear predictive algorithms for blind multichannel identification", Proc. SPIE 4911, Wireless and Mobile Communications II, (22 August 2002); doi: 10.1117/12.480528; https://doi.org/10.1117/12.480528
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