Blind recursive estimation of SIMO channels

M. Frikel (1, 2) , V. Barroso (2) , J. Xavier (2)

1 LAC - Laboratoire d'automatique de Caen
2 ISR - Institute for System and Robotics [Lisbonne]

We present a blind recursive algorithm for the estimation of nonstationary SIMO systems. An adaptive algorithm is developed to track the noise projector, to evaluate the degree of intersymbol interference (ISI), and the channel parameters. This method is also capable of handling abruptly changing channels during the observation interval. We define a new filtering operator that matches this projector with the subspace method. Finally, we relate this work with Capon's approach and the beamforming method. Simulation results concerning the performance of the developed method and its comparison with the classical subspace method are presented.

Keywords: Data mining; Eigenvalues and eigenfunctions; Intersymbol interference; Array signal processing; Working environment noise; Adaptive systems; Blind equalizers; Covariance matrix; Signal processing algorithms; Recursive estimation; Telecommunication channels; Adaptative estimation; Filtering theory; Approximation theory; Covariance matrices

Domains: Engineering Sciences [physics]; Signal and Image processing

M. Frikel, V. Barroso, J. Xavier. Blind recursive estimation of SIMO channels. 1999 2nd Workshop on Signal Processing Advances in Wireless, May 1999, Annapolis, France. pp.235-238, ⟨10.1109/SPAWC.1999.783062⟩. ⟨hal-01821460⟩