Identification Algorithm of Line-of-Sight Sensors for Passive Localization

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doi:10.12263/DZXB.20200503

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Identification Algorithm of Line-of-Sight Sensors for Passive Localization

更新时间：2025-12-08

- Identification Algorithm of Line-of-Sight Sensors for Passive Localization
- Acta Electronica Sinica Vol. 49, Issue 6, Pages: 1178-1186(2021)
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- DOI：10.12263/DZXB.20200503
  CLC： TP212.9
- Published：2021
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span style="font-family:, ">. Identification Algorithm of Line-of-Sight Sensors for Passive Localization[J]. Acta Electronica Sinica, 2021, 49(6): 1178-1186.
DOI：

span style="font-family:, ">. Identification Algorithm of Line-of-Sight Sensors for Passive Localization[J]. Acta Electronica Sinica, 2021, 49(6): 1178-1186. DOI： 10.12263/DZXB.20200503.

摘要

围绕无线传感器网络（Wireless Sensor Network，WSN）在直达（Line-Of-Sight，LOS）与非直达（Non-Line-Of-Sight，NLOS）混合传播环境中目标无源定位精度提高问题，提出基于弧边凸包的残差检测（Residual Test based on Arc-edged Convex hull，RTAC）算法.RTAC算法利用各个传感器的测距残差分布特点，在极坐标系构建反映残差点分布的偏移圆模型，并利用最小弧边凸包对传感器分组与识别，实现对网络中全部LOS传感器的识别.仿真结果表明，RTAC算法能够在低计算复杂度下实现对LOS传感器的正确识别，且具有更优异的目标定位性能.RTAC算法是适用于混合传播环境中LOS传感器识别的高效算法.

Abstract

To improve the locating accuracy for wireless sensor networks (WSN) in the mixed propagation environment of non-line-of-sight (NLOS) and line-of-sight (LOS) during passive localization

an algorithm named residual test based on arc-edged convex hull (RTAC) is proposed. RTAC algorithm uses the distribution characteristics of ranging residuals of sensors to construct an offset circle model reflecting the distribution of residual points in the polar coordinate system

and uses the minimal arc-edged convex hull to group and identify the sensors in order to realize the LOS sensor identification in the network. The simulation results demonstrate that RTAC algorithm can realize the correct identification of LOS sensors under a lower computational complexity

and can obtain better location performance. RTAC algorithm is an efficient algorithm for LOS sensor identification in mixed propagation environment.

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