An adaptive array for wireless communication systems with frequency selective multipath fading using high order statistics processing

Author

Martone, Massimiliano Max

Author_Institution

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

Volume

3

fYear

1997

fDate

8-12 Jun 1997

Firstpage

1356

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 noniterative deconvolution. An efficient adaptive algorithm is proposed

Keywords

adaptive antenna arrays; adaptive signal processing; array signal processing; autoregressive processes; cellular radio; deconvolution; fading; higher order statistics; land mobile radio; linear antenna arrays; multipath channels; adaptive array; base station receiver; cumulants; efficient adaptive algorithm; frequency selective multipath fading; high order statistics processing; linear antenna array; linear equations; linear high-order statistics; mobile radio communication system; multipath RF propagation; noncausal autoregressive modeling; noniterative deconvolution; received baseband digitized signal; wireless communication systems; Adaptive arrays; Antennas and propagation; Degradation; Land mobile radio; Linear antenna arrays; Mobile antennas; Radio frequency; Receiving antennas; Statistics; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1997. ICC '97 Montreal, Towards the Knowledge Millennium. 1997 IEEE International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-3925-8

Type

conf

DOI

10.1109/ICC.1997.595010

Filename

595010