论文标题
用于操纵目标的分布式跟踪的有限时间算法
A Finite-Time Algorithm for the Distributed Tracking of Maneuvering Target
论文作者
论文摘要
本文提出了一种新颖的分布式算法，用于使用网络传感器阵列收集的轴承或到达测量方向跟踪机动目标。所提出的方法建立在动态平均量子算法上，该算法允许网络的代理组（节点）以分布式方式达成一套本地时间变化信号的全球平均值。由于对应于提出的动态平均量子算法的平均传感器误差在有限的时间内收敛为零，因此所提出的分布式算法确保跟踪误差在有限时间内收敛到零。提供了数值模拟来说明所提出算法的有效性。
This paper presents a novel distributed algorithm for tracking a maneuvering target using bearing or direction of arrival measurements collected by a networked sensor array. The proposed approach is built on the dynamic average-consensus algorithm, which allows a networked group of agents (nodes) to reach consensus on the global average of a set of local time-varying signals in a distributed fashion. Since the average-consensus error corresponding to the presented dynamic average-consensus algorithm converges to zero in finite time, the proposed distributed algorithm guarantees that the tracking error converges to zero in finite time. Numerical simulations are provided to illustrate the effectiveness of the proposed algorithm.
