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http://dx.doi.org/10.9708/jksci.2011.16.5.101

A Study on the Optimum Weight Vector of Linearly Constrained Conditions  

Shin, Ho-Sub (Dept. of Radio-Communication Engineering, Kunsan National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.5, 2011 , pp. 101-107 More about this Journal
Abstract
The optimum weight vector is studied to remove interference and jamming signals in adaptive array antenna system. The optimum weight vector is calculated to apply a minimum variance algorithm and cost function in linearly constrained conditions, and accurately estimates target's signal. Adaptive array antenna system is the system which improves signal to noise ratio(SNR) and decreases interference and jammer power. Adaptive array antenna system delays at tap output of antenna array element. Each tap finally makes the complex signal of one in multiplier complex weight. In order to obtain optimum's weight calculation, optimum weight vector is used in this paper. After simulation, resolution is increased below $3^{\circ}$, and sidelobe is decreased about 10 dB.
Keywords
Weight vector; Constrained condition; Cost function; Optimum variance;
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Times Cited By KSCI : 3  (Citation Analysis)
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