Fast adaptive blind beamforming technique for cyclostationary signals

Author

Chen, Yuxin ; He, Zhenya ; Ng, T.S. ; Kwok, P.C.K.

Author_Institution

Dept. of Radio Eng., Southeast Univ., Nanjing, China

Volume

1

fYear

1999

fDate

1999

Firstpage

530

Abstract

Castedo et al. (1995) have present a blind beamforming criterion based on the property of cyclostationary signals. A stochastic gradient-based algorithm, which needs to choose the step size suitably, was derived to compute the optimum weight vector. In this paper a fast adaptive algorithm is proposed. We show that the recursive least square techniques can be applied to solve this problem successfully by making an appropriate approximation. Simulation results demonstrate the effect of the theoretic analysis

Keywords

adaptive signal processing; array signal processing; direction-of-arrival estimation; gradient methods; least squares approximations; linear antenna arrays; recursive estimation; stochastic processes; DOA; approximation; array signal processing; cyclostationary signals; fast adaptive algorithm; fast adaptive blind beamforming; optimum weight vector; recursive least square techniques; simulation results; step size; stochastic gradient-based algorithm; uniform linear array; Array signal processing; Digital modulation; Frequency shift keying; Least squares approximation; Pulse modulation; Sensor arrays; Signal generators; Signal processing; Signal processing algorithms; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818468

Filename

818468