A hybrid array minimizing the effects of the random weight vector errors in the LMS array and the Applebaum array

Author

Lin, Shen-de ; Barkat, Mourad

Author_Institution

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

Volume

38

Issue

5

fYear

1990

fDate

5/1/1990 12:00:00 AM

Firstpage

711

Lastpage

721

Abstract

A hybrid adaptive array that combines the least mean square-error (LMS) array and the Applebaum array is presented. The array minimizes the effect of the random errors in the weight vectors of the LMS and Applebaum arrays. These weight vectors containing random errors are scaled and combined to yield a novel weight vector. The mean square error (MSE) is used as a measure of performance to derive optimal weighting factors. An algorithm is devised to adjust the weighting factors automatically by an iterative procedure based on the complex LMS algorithm to achieve the optimum weighting factors. It is shown that the hybrid array performs better than the Applebaum array or the LMS array. In addition, it is less sensitive to the random weight vector errors

Keywords

antenna phased arrays; iterative methods; least squares approximations; Applebaum array; LMS array; antenna array; hybrid adaptive array; iterative procedure; least mean square error array; optimal weighting factors; random weight vector errors; Adaptive arrays; Communication systems; Degradation; Interference suppression; Iterative algorithms; Jamming; Least squares approximation; Mean square error methods; Signal processing; Signal to noise ratio;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.53499

Filename

53499