The performance of the SMI method in the constrained LMS array and the Griffiths array

Author

Lin, S.-D. ; Barkat, Mourad

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA

Volume

38

Issue

11

fYear

1990

fDate

11/1/1990 12:00:00 AM

Firstpage

1878

Lastpage

1882

Abstract

The sample matrix inversion (SMI) method is applied in the constrained least mean square (LMS) array of the Griffiths (1959) array. The mean square error (MSE) performance measure of the SMI method in both arrays is presented. The total output power (TOP) performance of the SMI method in the constrained LMS array is also presented. In using the SMI method to obtain the MSE and the TOP of the constrained LMS array, the adaptive weight vector is computed based on the estimate of the received signal correlation matrix and the knowledge of the arrival angle of the desired signal. The weight vector of the Griffiths array is also computed, based on the estimate of the correlation matrix and the knowledge of the cross correlation vector between the reference signal and the received signal

Keywords

antenna phased arrays; antenna theory; least squares approximations; matrix algebra; Griffiths array; SMI method; adaptive antenna arrays; adaptive weight vector; arrival angle; constrained LMS array; constrained least mean square; cross correlation vector; desired signal; mean square error; performance measure; received signal; received signal correlation matrix; reference signal; sample matrix inversion; total output power; Adaptive arrays; Computer simulation; Counting circuits; Equations; Jamming; Least squares approximation; Least squares methods; Robustness; Signal processing algorithms; Signal to noise ratio;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.102762

Filename

102762