Quality of Service Constrained-Resource Allocation Scheme for Multiple Target Tracking in Radar Sensor Network

作者：Junkun Yan, Jinhui Dai, Wenqiang Pu, Shenghua Zhou, Hongwei Liu, Zheng Bao · 发表于：IEEE Systems Journal · 年份：2020 · DOI：10.1109/jsyst.2020.2990409 · 被引用次数：55 · 研究领域：Distributed Sensor Networks and Detection Algorithms、Radar Systems and Signal Processing、Target Tracking and Data Fusion in Sensor Networks

In this article, a quality of service constrained-resource allocation (QoSC-RA) scheme is built for multiple target tracking (MTT) in radar sensor network. This QoSC-RA scheme can not only divide radar sensors into several groups to illuminate multiple targets separately but also optimize the transmit resource of the radar sensors in different groups. In such a case, we can minimize the total resource consumption of a radar sensor network while achieving the desired MTT accuracy. The QoSC-RA scheme is formulated as a mathematical optimization problem and is shown to possess two sets of conflict constraints (the QoS constraints and the resource constraints). When the problem is feasible, we analyze its optimality based on the Karush-Kuhn-Tucker conditions and subsequently design appropriate solution methods to solve it efficiently. When the problem is infeasible, we relax it as a feasible one by enlarging its feasible domain and use a gradient projection method to achieve a compromise solution. Simulation results demonstrate that the QoSC-RA process can achieve predetermined MTT performance with smaller resource consumption than the uniform allocation scheme.