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Tracking a variable number of targets based on RSS measurements in wireless sensor networks.

机译：在无线传感器网络中基于RSS测量跟踪可变数量的目标。

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摘要

The main problem studied in this dissertation is the tracking of targets by particle filtering in wireless sensor networks, where the sensors measure received signal strength (RSS). The number of targets is assumed unknown and it may vary with time. The initial locations of the targets are also unknown as are the time-varying reference powers of the targets. The task of tracking multiple targets under the made assumptions is a very challenging task for several reasons. First, the initial localization can be complicated. Second the received signal is a superposition of possibly several sources (targets) whose number is unknown. Third, the reference powers of the targets can also be unknown. Fourth, model selection has to be implemented at every time instant in order to choose the number of targets present in the network.;In the proposed tracking, we apply the least squares (LS) method for quick initialization of the procedure. This includes initial localization of the targets and estimation of their reference powers. Basically, we solve a nonlinear LS problem by using an iterative method. We also implement a criterion for deciding the number of targets in the sensor field. Once the number of targets and their initial parameters are determined, we apply particle filtering for performing the tracking. The algorithm allows for decrease or increase of the number of tracked targets and quick initial localization of the newly detected targets.
机译：本文研究的主要问题是无线传感器网络中通过粒子滤波对目标进行跟踪，其中传感器测量接收信号强度（RSS）。假定目标数量未知，并且可能随时间变化。目标的初始位置以及目标随时间变化的参考功率也是未知的。由于多种原因，在做出的假设下跟踪多个目标的任务是一项非常具有挑战性的任务。首先，初始定位可能很复杂。其次，接收到的信号是数量未知的多个源（目标）的叠加。第三，目标的参考功率也可能是未知的。第四，必须在每个时刻都执行模型选择，以选择网络中存在的目标数量。在建议的跟踪中，我们应用最小二乘法（LS）来快速初始化过程。这包括目标的初始定位和参考功率的估计。基本上，我们使用迭代方法解决非线性LS问题。我们还实现了确定传感器领域中目标数量的标准。确定目标的数量及其初始参数后，我们将应用粒子滤波进行跟踪。该算法可以减少或增加跟踪目标的数量，并可以对新检测到的目标进行快速初始定位。

著录项

  • 作者

    Lim, Jaechan.;

  • 作者单位

    State University of New York at Stony Brook.;

  • 授予单位 State University of New York at Stony Brook.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 123 p.
  • 总页数 123
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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