An Analytical Multimodulus Algorithm for Blind Demodulation in a Time-Varying MIMO Channel Context

Abstract : This paper addresses the issue of blind multiple-input multiple-output (MIMO) demodulation of communication signals, with time-varying channels and in an interception context. A new adaptive-blind source separation algorithm, which is based on the implementation of the MultiModulus cost function by analytical methods, is proposed. First a batch processing analysis is performed; Then an adaptive implementation of the AMMA (Analytical Multi-Modulus Algorithm) and its simplified version named ASCMA (Analytical Simplified Constant Modulus Algorithm) are detailed. These algorithms, named adaptive-AMMA and adaptive-ASCMA respectively are compared with the adaptive- ACMA (Analytical Constant Modulus Algorithm) and the MMA (Multi-Modulus Algorithm). The adaptive-AMMA and adaptive-ASCMA achieve a lower residual intersymbol interference and bit error rate than those of the adaptive-ACMA and MMA.
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Submitted on : Thursday, February 18, 2010 - 4:54:40 PM
Last modification on : Monday, February 18, 2019 - 8:36:03 PM

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Steredenn Daumont, Daniel Le Guennec. An Analytical Multimodulus Algorithm for Blind Demodulation in a Time-Varying MIMO Channel Context. International Journal of Digital Multimedia Broadcasting, Hindawi, 2010, Vol. 2010 (Article ID 307927), 11 p. ⟨10.1155/2010/307927⟩. ⟨hal-00457873⟩

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