Adaptive multistage beamforming using cyclic higher order statistics (CHOS)

Author

Martone, Massimiliano

Author_Institution

Telecommun. Group 700, Watkins-Johnson Co., Gaithersburg, MD, USA

Volume

47

Issue

10

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

2867

Lastpage

2873

Abstract

A new blind beamforming algorithm for signals that exhibit higher order cyclostationarity is presented. Exploiting some previous theoretical developments, we show how cyclic cumulants of the received signals can be used to obtain the weights of the beamformer that perform blind extraction. The method is based on a spatial interpretation of a deconvolution procedure known as the super-exponential algorithm. The basic block processing algorithm is made fully adaptive using an adaptive URV scheme and applied to a typical mobile communications scenario where several cochannel interferers corrupt the signals of interest

Keywords

array signal processing; cellular radio; cochannel interference; deconvolution; higher order statistics; interference suppression; AMPS cellular system; adaptive URV scheme; adaptive multistage beamforming; beamformer weights; blind beamforming algorithm; blind extraction; block processing algorithm; cochannel interferers; cyclic cumulants; cyclic higher order statistics; deconvolution; interference suppression; mobile communications; received signals; spatial interpretation; super-exponential algorithm; Adaptive arrays; Adaptive signal processing; Array signal processing; Communication systems; Conferences; Higher order statistics; Notice of Violation; Sensor arrays; Signal processing; Signal processing algorithms;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.790668

Filename

790668