Blind adaptive filtering using multivariate noncausal autoregressive modeling for wireless communication systems with antenna arrays

Author

Martone, Massimiliano Max

Author_Institution

Telecommun. Group, Watkins-Johnson Co., Gaithersberg, MD, USA

Volume

3

fYear

1996

fDate

18-22 Nov 1996

Firstpage

1468

Abstract

A linear high-order statistics based method is proposed to mitigate the performance degradation caused by multipath RF propagation in a mobile radio communication system using a linear antenna array in the base station receiver. The method is based on noncausal autoregressive modeling. It is shown that a set of linear equations (involving only cumulants of the received baseband digitized signal) can be obtained to perform non-iterative deconvolution. An efficient adaptive algorithm is proposed

Keywords

adaptive antenna arrays; adaptive filters; adaptive signal processing; array signal processing; autoregressive processes; deconvolution; direction-of-arrival estimation; filtering theory; higher order statistics; land mobile radio; linear antenna arrays; multipath channels; radio receivers; adaptive algorithm; base station receiver; blind adaptive filtering; cumulants; linear antenna array; linear equations; linear high-order statistics; mobile radio communication system; multipath RF propagation; multivariate noncausal autoregressive modeling; non-iterative deconvolution; performance degradation; received baseband digitized signal; wireless communication systems; Adaptive filters; Antennas and propagation; Base stations; Degradation; Land mobile radio; Linear antenna arrays; Mobile antennas; Radio frequency; Receiving antennas; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity

Conference_Location

London

Print_ISBN

0-7803-3336-5

Type

conf

DOI

10.1109/GLOCOM.1996.591885

Filename

591885