Thinned Array Design via Autocorrelation Matching Strategy

International audienceA novel methodology for designing thinned arrays with controlled pattern features is presented. The optimization of the binary weighting coefficients of the array elements is carried out through a multi-step procedure. In a first stage, a Genetic Algorithm (GA) is used to determine the binary sequence whose autocorrelation function is closest to a target one. Then, the thinned array is constructed from one of its cyclic sequences which optimizes a given figure of merit. A preliminary numerical example is illustrated in order to show the potentialities of the proposed approach