Wang Yuanbin / Wuhan Digital Engineering institute
Lu Haifeng / Wuhan Digital Engineering institute
By using the principle of comprehensive efficiency maximization, multi-sensor multi-target allocation problem is analyzed, combined with the idea of genetic algorithm, presents a sensor management algorithm based on target information gain as efficiency and tracking ability as constraint, the algorithm is simulated, and compared with the random allocation method. Simulation results show that the multi-sensor management algorithm based on information gain and genetic algorithm is effective, and better than random allocation method to improve the overall performance of the system.