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Location Estimation Approach of Multiple Sensor Nodes Using Received Signal Strength Measurements

机译:利用接收信号强度测量的多个传感器节点位置估计方法

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摘要

Received Signal Strength (RSS) measurements are widely proposed to apply in the wireless localization due to the low cost in software and hardware implementations. The localization refinement for multiple node is introduced when the transmit powers of anchor nodes are unknown. First the source positions along with the transmit powers are estimated with linear estimator. Then the localization refinement improves the positioning accuracy by using an addition of source position. The corresponding Cramer-rao Lower Bound (CRLB) of the problem is derived. The simulations demonstrate that the performance of localization can attain the approximate CRLB accuracy at sufficiently small noise conditions. When perfect knowledge of the Path Loss Exponent (PLE) is available, the simulations also show that the Mean Square Error (MSE) decreases as PLE value increases with the proposed localization algorithm.
机译:由于软件和硬件实现的成本低廉,已广泛建议将接收信号强度(RSS)测量应用于无线定位。当锚节点的发射功率未知时,引入多节点的定位优化。首先,利用线性估计器估计源位置以及发射功率。然后,定位优化通过使用源位置的增加来提高定位精度。得出问题的相应Cramer-rao下界(CRLB)。仿真表明,在足够小的噪声条件下,定位性能可以达到近似的CRLB精度。当可以获得路径损耗指数(PLE)的完整知识时,仿真结果还表明,使用所提出的定位算法,均方误差(MSE)随着PLE值的增加而减小。

著录项

  • 来源
    《Journal of information and computational science》 |2015年第9期|3365-3372|共8页
  • 作者单位

    Engineering Research Center of Shipping Simulation Ministry of Education, Merchant Marine College Shanghai Maritime University, Shanghai 201306, China;

    Engineering Research Center of Shipping Simulation Ministry of Education, Merchant Marine College Shanghai Maritime University, Shanghai 201306, China;

    Engineering Research Center of Shipping Simulation Ministry of Education, Merchant Marine College Shanghai Maritime University, Shanghai 201306, 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; Localization; Received Signal Strength; Mean Square Error;

    机译:无线传感器网络;本土化;接收信号强度;均方误差;

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