SIDELOBE REDUCTION IN ARRAY-PATTERN SYNTHESIS USING GENETIC ALGORITHM

A simple and flexible genetic algorithm (GA) for pattern synthesis of antenna array with arbitrary geometric configuration is presented, Unl ike conventional GA using binary coding and binary crossover, this app roach directly represents the array excitation weighting vectors as co mplex number chromosomes and uses decimal linear crossover without cro ssover site, Compared with conventional GA's, this approach has a few advantages: giving a clearer and simpler representation of the problem , simplifying chromosome construction, and totally avoiding binary enc oding and decoding so as to simplify software programming and to reduc e CPU time, This method also allows us to impose constraints on phases and magnitudes of complex excitation coefficients for preferable impl ementation in practice using digital phase shifters and digital attenu ators, Successful applications show that the approach can be used as a general tool for pattern synthesis of arbitrary arrays.