Ground Short-baseline Single-station Passive Location Method Based on Improved Whale Optimization
Considering the low positioning accuracy caused by local convergence of Particle Swarm Optimization(PSO)algorithm when addressing the problem that the performance of conventional ground single-station passive positioning system is affected by antenna array constraints,a short-baseline single-station passive location method based on Improved Whale Optimization Algorithm(IWOA)is proposed.The phase difference information received by the array is used to construct the cost function.By introducing the direction finding information,the search scope of the algorithm is effectively reduced,and the probability factor and convergence factor of the algorithm are modified to improve the calculation rate of the algorithm.Meanwhile,the random search equation of the algorithm is improved and the restart mechanism and local fine search mode are introduced to prevent the algorithm from falling into the local optimal while improving the search ability of the algorithm.The simulation results show that the proposed algorithm is better than PSO in terms of performance stability,and the positioning accuracy is significantly improved compared with the conventional ground single-station passive positioning method.
passive localizationfixed-single-station positioningwhale optimizationrestart mechanismlocal fine search
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