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This paper addresses the problem of blind separation of convolutive mixtures of BPSK and circular linearly modulated signals with unknown (and possibly different) baud rates and carrier frequencies. In previous works, we established that the Constant Modulus Algorithm (CMA) is able to extract a source from a convolutive mixture of circular linearly modulated signals. We extend the analysis of the...
The Constant Modulus Algorithm (CMA) is very popular as far as the extraction of a source from a convolutive mixture is concerned. Though originally designed for stationary data, we have noticed in simulations the ability of the CMA to achieve the separation even in non-stationary contexts such as mixtures of linearly modulated communication signals having arbitrary symbol periods. In this paper,...
This paper is devoted to the blind separation of convolutive mixtures of possibly non circular linearly modulated signals with unknown (and possibly different) baud rates and carrier frequencies. In this context, the received signal is sampled at any rate satisfying the Shannon sampling theorem. The corresponding discrete-time signal is cyclostationary with unknown cyclic frequencies. It is shown...
Both the standard estimate of the second-order cyclic frequency of a digital communication signal and its improved versions (based on a weighted criterion or a denoising of the cyclic periodogram) do not take into account a key property of the signal, indeed, the support of the cyclospectrum at the true cyclic frequency is a narrow interval centered around half this cyclic frequency. This fact is...
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