CMA fractionally spaced equalizers: stationary points and stability under i.i.d. and temporally correlated sources
نویسندگان
چکیده
منابع مشابه
CMA Fractionally Spaced Equalizers: Stationary Points and Stability under IID and Temporally Correlated Sources
A common assumption in blind equalization schemes using the Constant Modulus Algorithm (CMA) is that the source sequence is an independent identically distributed (i.i.d.) sequence with equiprobable symbols. Much of the analysis demonstrating the global convergence of CMA in a noiseless channel to an open-eye setting uses this assumption. This work investigates the effect of source statistics (...
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CMA Fractionally Spaced Equalizers (CMA-FSEs) have been shown, under certain conditions, to be globally asymptotically convergent to a setting which provides perfect equalization. Such a result relies heavily on the assumptions of a white source and no channel noise (as is the case in much of the literature’s analysis of CMA). Herein, we relax the white source assumption and examine the effect ...
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odern digital transmission systems commonly use an adaptive equalizer as a key part of the receiver. The design of this equalizer is important since it determines the maximum quality attainable from the system, and represents a high fraction of the computation used to implement the demodulator. Recent analytical results offer a new way of looking at fractionally spaced equalizers and have some ...
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A transversal equalizer with half Baud spaced taps in the center and extended with Baud spaced taps on both sides is presented. This hybrid equalizer combines the benefits of Baud spaced equalizers like superior equalization of notches in the middle of the transmission band and fractionally spaced equalizers, which have a superior performance when equalizing asymmetric notches in the slope of t...
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The separation of unobserved sources from mixed observed data is a fundamental signal processing problem. Most of the proposed techniques for solving this problem rely on independence or at least uncorrelation assumption for source signals. This paper introduces a technique for cases that source signals are correlated with each other. The method uses Wold decomposition principle for extracting ...
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ژورنال
عنوان ژورنال: International Journal of Adaptive Control and Signal Processing
سال: 1998
ISSN: 0890-6327,1099-1115
DOI: 10.1002/(sici)1099-1115(199803)12:2<135::aid-acs484>3.3.co;2-q