MIMO radar array synthesis using QPSO with normal distributed contraction-expansion factor

An array synthesis based on Quantum particle swarm optimization (QPSO) is proposed for the orthogonal MIMO radar. To decrease the sidelobe level of the pattern, the elements' positions is presented by Quantum-behaved particles. Each particle searches the solution space with a normal distributed contraction-expansion factor, and updates its position with respect to the potential attraction at a Quantum probability. When compared with the traditional particle swarm optimization (PSO) and genetic algorithm (GA), the proposed method simulates the Quantum-behave, and balances the exploration and exploitation with a normal distributed contraction-expansion factor, which results in better convergence and static-state performances. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]