Analysis of the performance and sensitivity of an eigenspace-based interference canceler

Author

Lee, Ju-Hong ; Lee, Cheng-Chou

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

48

Issue

5

fYear

2000

fDate

5/1/2000 12:00:00 AM

Firstpage

826

Lastpage

835

Abstract

Eigenspace-based interference cancelers (EICs) possess the advantages of providing maximal suppression of interference with fast convergence over conventional adaptive beamformers. However, the performance and sensitivity to steering angle error of EICs have not been analyzed due to the use of a signal blocking matrix. We first present a technique to construct a positive definite matrix based on the signal blocking matrix and then use this matrix to compensate the effect of the signal blocking matrix on the sensor noise received by an EIC. Therefore, the interference subspace required for finding the optimal weight vector can be obtained using conventional eigenvalue decomposition (EVD). Moreover, the performance and sensitivity to the steering angle error of the EIC can be analyzed. Simulation examples are provided for confirming the theoretical results

Keywords

adaptive antenna arrays; array signal processing; eigenvalues and eigenfunctions; interference suppression; linear antenna arrays; matrix algebra; radiofrequency interference; sensitivity analysis; EIC; convergence; eigenspace-based interference canceler; eigenvalue decomposition; interference subspace; maximal suppression; optimal weight vector; performance; positive definite matrix; sensitivity; sensor noise; signal blocking matrix; steering angle error; Convergence; Eigenvalues and eigenfunctions; Electric breakdown; Interference cancellation; Interference suppression; Matrix decomposition; Performance analysis; Signal analysis; Signal to noise ratio; Vectors;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.855503

Filename

855503