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Blind identification is a very significant problem in many contexts where only the output of transmission channels can be observed. The solutions that can be found in the literature are limited to the case of equal amounts of additive noise on the observations. This paper proposes new identification procedures that can be applied to the case of two FIR channels affected by unknown and unbalanced amounts...
The problem of blind parameter estimation in multiple-access communication systems with circular transmissions is addressed. A non-data aided algorithm based on the higher-order cyclostationarity features of the received signal is proposed to estimate amplitude, phase, time delay, and frequency shift of each user.Furthermore, a reduced-complexity version of the algorithm is proposed whose computational...
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