A Range-Only Tracking Algorithm for Wireless Sensor Networks

E. Mazomenos, J. Reeve, N. White
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引用次数: 7

Abstract

Over the last few years, target tracking in wireless sensor networks has become a topic of particular interest. This paper presents a tracking system intended for deployment in distributed Wireless Sensor Networks. The approach is inspired from the concept of deploying sensor nodes in an ad-hoc manner and based on the aggregate amount of information they provide, perform tracking of mobile objects. Static sensor nodes, with known locations, act as anchor nodes providing range-only measurements at each time step. The proposed system is modeled using a nonlinear state-space model which re¿ects a real world tracking scenario. The batch of range measurements made available at each sampling step, is used to estimate the target's desired kinematic properties. In order to infer the state of the target at each time step, a Particle Filter algorithm has been designed to approximate the required posterior distribution of the state vector. The system's operation was simulated and execution examples demonstrate the algorithm's accuracy as well as the ability to effectively cope with manoeuvring targets.
一种无线传感器网络的距离跟踪算法
在过去的几年中,无线传感器网络中的目标跟踪已经成为一个特别感兴趣的话题。本文提出了一种适用于分布式无线传感器网络的跟踪系统。该方法的灵感来自于以一种特别的方式部署传感器节点的概念,并基于它们提供的总信息量,执行移动对象的跟踪。具有已知位置的静态传感器节点充当锚节点,在每个时间步提供仅限范围的测量。该系统采用反映真实世界跟踪场景的非线性状态空间模型建模。在每个采样步骤中可用的批量距离测量用于估计目标的所需运动学特性。为了推断目标在每个时间步长的状态,设计了一种粒子滤波算法来近似状态向量的后验分布。对系统的运行进行了仿真,算例验证了算法的准确性和对机动目标的有效处理能力。
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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