Adaptive beamforming algorithms for smart antenna systems

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机构：
[1] Rao, Amara Prakasa
[2] Sarma, N.V.S.N.
来源：
| 1600年 / World Scientific and Engineering Academy and Society, Ag. Ioannou Theologou 17-23, Zographou, Athens, 15773, Greece卷 / 13期
关键词：
Evolutionary algorithms - Adaptive algorithms - Beam forming networks - Smart antennas;
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摘要：
In this paper, Various evolutionary algorithms are used to adapt the weights of the smart antenna arrays to maximise the output power of the signal in desired direction and minimise the power in the unwanted direction. Different types of arrays (i.e., Linear, Circular, and Planar) are considered. Numerical results are presented to verify the improved convergence of the algorithms. Simulation results using different sets of antenna elements for different geometries are provided. In Least Mean Square algorithm, the convergence speed of the algorithm depends on the step size, which depends on the correlation matrix. With large eigen values spread, it converges slowly in a dynamic channel environment. This problem is solved by normalised least mean square and recursive least square algorithms. Simulation results show that the better adaptive beamforming algorithms for smart antenna systems in mobile communications.
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