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In order to reduce the peak side-lobe level of the sparse array pattern effectively and suppress the grating lobe at the same time, this paper presents a pattern synthesis algorithm using multi-objective Particle Swarm (MOPSO) combined with convex optimization algorithm. We take MOPSO as a global searcher and convex optimization as a local searcher to search for the optimal solution. In this search,...
To solve the high peak side-lobe level of the distributed array, a hybrid optimization method of particle swarm optimization and convex optimization is proposed in this paper. With the peak side-lobe level as the objective function, the particle swarm optimization is considered as a global optimization algorithm to optimize the elements' positions while the convex optimization is considered as a local...
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