Abstract:

The near space high-speed vehicle has the characteristics of large aerospace and high speed. As the allocation resources involve numerous factors and the cooperative relations are complex, multisensor cooperative tracking puts forward higher requirements for the optimization algorithm about tracking accuracy and realtime. Firstly, the multi-sensor cooperative tracking optimization model is proposed. Secondly, the confidence operator and repulsion operator particle swarm optimization (CORO-PSO) is proposed by introducing confidence and repulsion operators into the basic PSO. Finally, experimental results demonstrate this algorithm is reliable and can provide the method support for the development of cooperative tracking of the near space highspeed vehicle.