Joint Node and Resource Scheduling Strategy for the Distributed MIMO Radar Network Target Tracking via Convex Programming

Abstract

In this paper, for the application of multi-target tracking (MT-T), a joint node and resource scheduling (JNRS) strategy based on convex programming is proposed for the distributed multiple-input multiple-output (MIMO) radar network. To be more precise, the JNRS strategy is first formulated as a mathematic optimization problem, which is NP-hard. Then, an iterative and efficient solution technique incorporating the sequential convex programming (SCP) and the semi-definite programming (SDP) is proposed to tackle the NP-hard problem. Finally, numerical simulation results are provided to verify the effectiveness of the proposed JNRS strategy. Furthermore, the proposed JNRS strategy can achieve better MTT performance than other existing benchmark strategies.