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