Abstract
An iterative algorithm for minimizing the maximum sidelobe level of an arbitrarily shaped array over bands of frequencies and directions is presented. The approach is novel both in providing an optimal Tchebyshev solution for nonuniformly spaced, multidimensional arrays and in providing a solution over frequency bands. At each iteration, the algorithm generates a descent direction minimizing the response at the highest sidelobes. The method is applicable both to plane‐wave beamforming and to matched field processing. In this presentation, the trade‐offs between beamwidth, bandwidth, and sidelobe level are considered for the conventional beamformer for a variety of nonuniformly spaced arrays.
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