Multi-radar deployment based on improved simulated annealing with optimal neighborhood search
A mathematical model with airspace coverage as the optimization objective and multiple radar posi-tions as the optimization variables was first established for the multi-radar network detection system,modeling the deployment process as a discrete optimization problem to obtain the optimal deployment plan.Secondly,an improved simulated annealing algorithm based on optimal neighborhood search was proposed,which im-proved the convergence speed of the algorithm by searching within the neighborhood range of historical global optimal solutions to generate new solutions.To ensure the effectiveness of the algorithm,a comprehensive per-formance analysis of the improved algorithm was conducted using multiple complex performance testing func-tions.Finally,the validation of the proposed method was conducted in a typical scenario of 6 radars and 2 alti-tude layers.Simulation results show that the improved simulated annealing algorithm can effectively accelerate convergence speed,and the multi-radar deployment scheme can meet the task requirements and ensure the maximization of airspace coverage.
万方数据
维普
