Hybrid nonlinear moments subspace processing for wireless communication systems using antenna arrays

Author

Martone, Massimiliano

Author_Institution

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

Volume

47

Issue

5

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

1434

Lastpage

1441

Abstract

It is shown that hybrid nonlinear (HKL) moments matrices can be used to identify a multichannel FIR system. The method outperforms the popular subspace method based on second-order statistics in low SNR and/or correlated noise, and it is fundamentally equivalent in terms of computational complexity. The method is applied to the channel identification problem in a cellular base-station receiver employing antenna arrays

Keywords

array signal processing; cellular radio; computational complexity; correlation methods; identification; linear antenna arrays; matrix algebra; multipath channels; noise; radio receivers; statistical analysis; transient response; TDMA; antenna arrays; cellular base-station receiver; channel identification; computational complexity; correlated noise; hybrid nonlinear moments matrices; hybrid nonlinear moments subspace processing; low SNR; multichannel FIR system identification; multipath propagation; second-order statistics; subspace method; uniform linear array; wireless communication systems; Antenna arrays; Antennas and propagation; Baseband; Delay; Digital modulation; Finite impulse response filter; Higher order statistics; Receiving antennas; Sensor arrays; Wireless communication;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.757239

Filename

757239