A self-calibration algorithm for cyclostationary signals and its uniqueness analysis

Author

Yip, Patrick C. ; Zhou, Yifeng

Author_Institution

Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada

Volume

3

fYear

1995

fDate

9-12 May 1995

Firstpage

1892

Abstract

A self-calibration DOA estimation algorithm for cyclostationary source signals is presented in which the effects of the sensor gain and phase shift uncertainty have been eliminated. The uniqueness conditions and the asymptotic consistency of the estimates are discussed. An alternating projecting optimization algorithm is provided which lessens the computational load involved in the nonlinear multivariate optimization problem. A numerical example is presented to show the effectiveness of the algorithm

Keywords

calibration; direction-of-arrival estimation; optimisation; alternating projecting optimization algorithm; asymptotic consistency; computational load; cyclostationary signals; nonlinear multivariate optimization problem; phase shift uncertainty; self-calibration DOA estimation algorithm; sensor gain; uniqueness analysis; uniqueness conditions; Algorithm design and analysis; Autocorrelation; Direction of arrival estimation; Frequency; Phase estimation; Phased arrays; Sensor arrays; Signal analysis; Signal processing algorithms; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480581

Filename

480581