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Adaptive antennas using a kalman filter for fast mobile communications

โœ Scribed by Jinkuan Wang; Kojiro Hagino; Tadashi Takano


Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
829 KB
Volume
77
Category
Article
ISSN
8756-6621

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โœฆ Synopsis


Abstract

When an adaptive antenna is used for a mobile station in a vehicle, it is necessary to quickly adapt the weight coefficients for a changing electromagnetic environment. In this paper, for a nonstationary state in which the signal arrival direction changes as the vehicle moves, the dynamic behavior of the weight coefficients is studied, and a state transition matrix of the optimum weight coefficients is derived.

The proposed method is applied to a Kalman filter, and a method for controlling the weight coefficients in a nonstationary state is discussed. Further, by means of a simulation with a simple model, the effectiveness of the proposed model is verified. It is indicated that an accurate control is possible even if the electromagnetic environment changes rapidly in time. It is found that the proposed method has a superior adaptability over the least mean square (LMS) method and can be applied for highโ€speed mobile communication.


๐Ÿ“œ SIMILAR VOLUMES


Adaptive antennas using a kalman filter
โœ Jinkuan Wang; Tadashi Takano ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 722 KB
A New Motion Estimation Algorithm for Vi
โœ Chung-Ming Kuo; Cheng-Ping Chao; Chaur-Heh Hsieh ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 402 KB

his paper presents a new motion estimation algorithm to improve the performance of the existing searching algorithms at a relatively low computational cost. We try to amend the incorrect and/or inaccurate estimate of motion with higher precision by using Kalman filter. We first obtain a measurement