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A mobile localization strategy for wireless sensor network in NLOS conditions

机译:NLOS条件下无线传感器网络的移动定位策略

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摘要

The problem of mobile localization for wireless sensor network has attracted considerable attention in recent years. The localization accuracy will drastically grade in non-line of sight (NLOS) conditions. In this paper, we propose a mobile localization strategy based on Kalman filter. The key technologies for the proposed method are the NLOS identification and mitigation. The proposed method does not need the prior knowledge of the NLOS error and it is independent of the physical measurement ways. Simulation results show that the proposed method owns the higher localization accuracy when compared with other methods.
机译:近年来,无线传感器网络的移动本地化问题引起了相当大的关注。在非视线(NLOS)条件下,定位精度将大大提高。本文提出了一种基于卡尔曼滤波的移动定位策略。该方法的关键技术是NLOS识别和缓解。所提出的方法不需要NLOS误差的先验知识,并且与物理测量方式无关。仿真结果表明,与其他方法相比,该方法具有较高的定位精度。

著录项

  • 来源
    《Communications, China 》 |2016年第10期| 69-78| 共10页
  • 作者单位

    School of Information Science and Engineering, Northeastern University, Shenyang 110819, China;

    Department of Computer and Communication Engineering, Northeastern University, Qinhuangdao 066004, China;

    School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China;

    School of Information Science and Engineering, Northeastern University, Shenyang 110819, China;

    School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China;

    School of Information Science and Engineering, Northeastern University, Shenyang 110819, China;

    School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wireless sensor networks; Nonlinear optics; Kalman filters; Mobile communication; Measurement uncertainty; Noise measurement; Estimation;

    机译:无线传感器网络;非线性光学;卡尔曼滤波器;移动通信;测量不确定度;噪声测量;估计;

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