Antenna deployment method for multistatic radar in dynamic environment

In this paper, considering multiple surveillance regions in a dynamic environment, we investigate an optimal antenna deployment problem for distributed multistatic radar. The problem is solved by proposing a prediction based particle swarm optimization (PBPSO) algorithm. Unlike the traditional particle swarm optimization (PSO) method, which needs completely recomputation when the environment changes, the proposed method uses the information about the previous optimal deployment schemes to predict and optimize the current one. So it greatly increases the solving efficiency and computational load of the optimal problem. Firstly, by dividing a continuous time period into several scenarios, we use the previous optimal scheme and a Kalman prediction model to predict an approximate optimal scheme for the current scenario. Then, to obtain the real optimal scheme, we can use the predicted optimal scheme and PSO method to optimize. Numerical results are provided to verify the advantages of PBPSO in optimizing the antenna deployment scheme in a dynamic environment.