Network Architecture Optimization for Area Surveillance in Multi-static Radar Systems

This paper describes a network architecture optimization method for area surveillance in multistatic radar systems. The proposed method addresses the problem of contradiction between the network performance, and the limited communication and computing ability of the multistatic radar systems. The goal is to improve the system surveillance performance by optimizing the network architecture of such systems. We take the coverage ratio of the surveillance area as the optimization index, consider the communication and calculation abilities of radar nodes as constraints, and establish an optimization model for the network architecture. Two methods of data processing for detection are considered to enhance the node communication and computation abilities. It is shown that the optimization problem is nonconvex, and a clustering-based sequential optimization algorithm is proposed as a sub-optimal solution method. Finally, simulation results verify the validity and effectiveness of the proposed method.