Paper
7 June 1996 Target tracking via adaptive beamforming for mobile communication
Esmat C. Bekir, C.-C. Jay Kuo, Tong J. Lee
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Esmat C. Bekir, C.-C. Jay Kuo, and Tong J. Lee "Target tracking via adaptive beamforming for mobile communication", Proc. SPIE 2750, Digital Signal Processing Technology, (7 June 1996); https://doi.org/10.1117/12.241980
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KEYWORDS
Sensors

Mobile communications

Receivers

Phased arrays

Detection and tracking algorithms

Transmitters

Antennas

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