Array shape calibration using sources in known directions

Author

Zhang, Ming ; Zhu, Zhao-Da

Author_Institution

Dept. of Electron. Eng., Nanjing Aeronaut. Inst., China

fYear

1993

fDate

24-28 May 1993

Firstpage

70

Abstract

Sensor position uncertainty can severely degrade the performance of array processing. A new calibration method is presented for direction-finding with sensor position uncertainties, which is based on eigenvalue decomposition of the sample covariance matrix and three or more non-disjoint sources in known directions. The method can be applied to arbitrary arrays, including linear arrays, requires less computations and suits for low SNR cases. Computer simulations are presented to illustrate the performance of the proposed method

Keywords

array signal processing; calibration; digital simulation; eigenvalues and eigenfunctions; parameter estimation; array processing; array shape calibration; calibration; computer simulations; direction-finding; eigenvalue decomposition; linear arrays; minimisation; nondisjoint sources; sample covariance matrix; sensor position uncertainties; sensor position uncertainty; Array signal processing; Calibration; Computer simulation; Covariance matrix; Degradation; Eigenvalues and eigenfunctions; Navigation; Sensor arrays; Shape; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1993. NAECON 1993., Proceedings of the IEEE 1993 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-1295-3

Type

conf

DOI

10.1109/NAECON.1993.290895

Filename

290895