Location of Aerial Targets Based on Particle Swarm Optimization
On the condition of being disturbed, the radar is hard to fix the accurate position of the aerial target. Aiming at this problem, it puts forward the particle swarm optimization to solve the nonlinear optimization problem based on TDOA to locate the aerial target when the multi base radar receiving stations distributed randomly in the space. Firstly, the algorithm initializes a random particle swarm, then alters the velocity and position of the particles in according with the fitness, searches the optimal coordinates through iterative searching method. The experimental results show that if the parameters are assumed reasonably, the algorithm is stable and can find out the global optimal solution.