Blind recursive estimation of SIMO channels

M. Frikel; V. Barroso; J. Xavier

doi:10.1109/SPAWC.1999.783062

Conference papers

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]

Abstract : 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

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Signal and Image processing

Complete list of metadatas

https://hal-normandie-univ.archives-ouvertes.fr/hal-01821460
Contributor : Miloud Frikel <>
Submitted on : Friday, June 22, 2018 - 2:49:00 PM
Last modification on : Friday, November 22, 2019 - 4:34:48 PM

Blind recursive estimation of SIMO channels

Identifiers

Collections

Citation

Export

Metrics

38

Blind recursive estimation of SIMO channels

Identifiers

Collections

Citation

Export

Share

Metrics

38