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• W2027335495 abstract "In the plethora of second-order statistics (SOS) based blind channel equalization techniques, only two algorithms are able to perform equalization with a pre-specified delay. Delay selection is a compelling feature in order to reduce noise enhancement of Zero-Forcing (ZF) equalizers. We show that channel output shifted correlation matrices with different time lags can be combined to obtain a rank-deficient SOS-based matrix whose kernel is made of ZF equalizers of a pre-determined delay. Contrarily to existing algorithms, such a ZF equalizer is obtained at a low complexity: It involves a single Eigen Vector Decomposition (EVD) and does not require prior knowledge nor estimation of the noise power. Such a straightforward estimation translates, also, into better equalization performance at low channel SNR, as confirmed by simulations." @default.
• W2027335495 created "2016-06-24" @default.
• W2027335495 creator A5015327134 @default.
• W2027335495 creator A5060918936 @default.
• W2027335495 date "2012-08-01" @default.
• W2027335495 modified "2023-10-12" @default.
• W2027335495 title "Subspace blind equalization for channels with low SNR" @default.
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• W2027335495 doi "https://doi.org/10.1109/iswcs.2012.6328410" @default.
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