A Method of Selecting Distributed Detection Stations Based on Environment

In the face of the problem of sensors placement under the complex geographical environment and traditions of the battlefield, the existing distributed detection station optimization methods have not considered the impact of time-varying electromagnetic environment on the positioning accuracy, and the optimization algorithm itself is also prone to fall into local convergence. A new method based on the identification of radiation sources and the optimization of network topology is proposed. Firstly, the electromagnetic environment dataset and regional constraints are established from the specific terrain conditions of the test area. Secondly, the system design indexes such as the Signal to Noise Ratio (SNR) of detection, the average detection probability and the effective location area are designed, and the target function of the multi-indicator detection station location optimization is established. Finally, the model is solved by stepwise convex optimization method. The proposed method improves the environmental adaptability of the optimization model. In addition, the system can obtain the optimal scattering characteristics under the time-varying electromagnetic environment.