Pattern Synthesis of Array Antennas with a Kind of Quantum Particle Swarm Optimization Algorithm

摘要

Pattern synthesis is a key technology in smart antennas. As a result of some short comings, such as the premature convergence and bad local optimal searching capability in traditional intelligence methods for pattern synthesis, a novel array antenna pattern synthesis technique is proposed based on quantum particle swarm optimization(QPSO) with probability amplitude coding of quantum bits. In this method, the positions of particles are encoded by quantum bits and the movements of particles are performed by quantum rotation gates, which achieve particles' optimal location. The mutations of particles are performed by quantum non-gate to avoid premature. The typical application shows the novel way for pattern synthesis with multi-null and low sidelobe restrictions is feasible with high precision, and fast running speed, and has very good generalization capability.