Network architecture optimization for netted MIMO radar systems with surveillance performance

Abstract

This paper addresses the problem of network architecture configuration for the netted multiple-input multiple-output (MIMO) radar system with limited communication and computing resources. To better utilize the limited system resources and improve the detection performance of the system, we propose an effective network architecture optimization solution for the netted MIMO radar systems. Firstly, we devise an objective function that establishes the mathematical relationship between the network architecture and the surveillance performance of the system for areas with different importance. Then, we formulate the network architecture optimization problem as a mathematical problem of maximizing the surveillance performance with several constraints on practical system resources. As the formulated optimization problem is non-convex, we devise a maximum block pattern search algorithm to solve it effectively. Numerical results show that the proposed network architecture optimization solution can deliver superior performance in terms of maximizing the surveillance performance while possessing flexibility on the resource allocation regarding different areas of importance.