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Genetic Algorithm Assisted Adaptive Beamforming

By M. Vitale, G. Vesentini, N.N. Ahmad and L. Hanzo


Genetic Algorithm (GA) assisted beamforming techniques are proposed as an alternative to conventional beamforming algorithms. The design of the corresponding GAs is highlighted and the achievable performance is characterised in terms of the Signal-to-Interference Ratio (SIR) and the Signal-to-Interference plus Noise Ratio (SINR). It is demonstrated that an attractive SINR versus complexity trade-off is achievable by the proposed GA-assisted beamformers, provided that the GA parameters are appropriately chosen

Year: 2002
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Provided by: e-Prints Soton
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