A Multiple Hypothesis Tracker for a Distributed Network of Sensors

C. Rago, Charlie Gershfield, T. Strat
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引用次数: 1

Abstract

This paper describes the multiple hypothesis network tracker (MHNT) being developed by BAE Systems. The goal here was to design, develop and implement a tracker capable of tracking multiple vehicles moving across a network of geographically distributed static sensors, where each sensor's coverage area is small compared to the distance between sensors. Each sensor reports the time when a target crosses the sensor's coverage area sensors may also report features associated with the target. A centralized tracker receives reports from all of the sensors and, using prior information regarding target motion across the network of sensors and actual travel times, assign reports to tracks and computes the most likely set of assignments
分布式传感器网络的多假设跟踪器
本文介绍了BAE系统公司正在开发的多假设网络跟踪器(MHNT)。这里的目标是设计、开发和实现一种跟踪器,能够跟踪在地理分布的静态传感器网络中移动的多辆车辆,其中每个传感器的覆盖区域与传感器之间的距离相比很小。每个传感器报告目标穿过传感器覆盖区域的时间。传感器还可以报告与目标相关的特征。集中式跟踪器接收来自所有传感器的报告,并使用有关目标在传感器网络中的运动和实际行驶时间的先验信息,将报告分配给轨道,并计算最可能的分配集
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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