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Proceedings Paper

Target tracking via adaptive beamforming for mobile communication
Author(s): Esmat C. Bekir; C.-C. Jay Kuo; Tong J. Lee
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Paper Abstract

For mobile communication, one essential component in base station design is the development of an adaptive array system to track low SNR signals buried in co-channel interferences. In this research, we examine three types of adaptive beamformers using the linear mean square, Kalman filter and minimum variance distortionless response design criteria to protect the desired signal and reject interferences. The purpose of this study is two folds. First, the performance of these algorithms are compared in terms of accuracy and speed of convergence. Second, we present a new tracking method based on beamforming to determine, on a continuous time basis, the direction of arrival of the desired signal. This approach will enable locating the source of the transmitted signals, nullifying the co-channel interferers and, hence, enhancing signal reception.

Paper Details

Date Published: 7 June 1996
PDF: 12 pages
Proc. SPIE 2750, Digital Signal Processing Technology, (7 June 1996); doi: 10.1117/12.241980
Show Author Affiliations
Esmat C. Bekir, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)
Tong J. Lee, Hughes Space and Communications Co. (United States)


Published in SPIE Proceedings Vol. 2750:
Digital Signal Processing Technology
Joseph Picone, Editor(s)

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