ADAPTIVE ANALYTICAL SIMPLIFIED CONSTANT MODULUS ALGORITHM: A BSS ALGORITHM FOR MIMO SYSTEMS WITH TIME-VARYING ENVIRONMENTS

Steredenn Daumont (1) , Daniel Le Guennec (2)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 IETR - Institut d'Électronique et des Technologies du numéRique

An adaptive Analytical Simplified Constant Modulus Algorithm (adaptive-ASCMA) which accomplishes blind source separation and carrier phase recovery is proposed. This algorithm is applied on Multiple Input Multiple Output (MIMO) communication systems and uses some analytical methods to minimize the Simplified Constant Modulus (SCM) cost function. A study was done to find the subspace containing the solution of the minimization problem. With comparable computational complexities, the adaptive ASCMA accomplishes better performances in Bit Error Rate (BER) and Signal to Interference and Noise Ratio (SINR) terms than the adaptive-ACMA with time varying environment.

Keywords: MIMO systems; time-varying channels; Blind Source Separation; Alamouti code

Domains: Signal and Image Processing; Signal and Image processing

Steredenn Daumont, Daniel Le Guennec. ADAPTIVE ANALYTICAL SIMPLIFIED CONSTANT MODULUS ALGORITHM: A BSS ALGORITHM FOR MIMO SYSTEMS WITH TIME-VARYING ENVIRONMENTS. EUSIPCO 2009, European Association for Signal Processing, Aug 2009, Glasgow, United Kingdom. pp.5. ⟨hal-00396153⟩