Anchor Deployment Optimization for Range-Based Indoor Positioning Systems in Non-Line-of-Sight Environment

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-06-24 DOI:10.1109/JSEN.2024.3416373

Lei Zhang;Kan Jiao;Wei He;Xinheng Wang

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引用次数: 0

Abstract

Optimizing anchor deployment is critical to ensure the performance and positioning stability of indoor positioning systems in real-world applications. In this article, a new anchor deployment optimization method is proposed to enhance the positioning performance of range-based positioning systems in the non-line-of-sight (NLOS) environment without increasing the application cost. First, a new fitness function is proposed by simultaneously considering the mean geometric dilution of precision (GDOP) and the coverage of available positioning area in the indoor NLOS environment. Then, a search architecture based on a particle swarm optimization (PSO) algorithm is proposed to optimize anchor deployment. The initialization method of swarm’s position and velocity is given, and the calculation process of the search architecture is introduced in detail. The results obtained from numerical simulations and experimental investigations verified that, for range-based positioning systems in NLOS environment, the accuracy and stability can be significantly improved by optimizing the anchor deployment through our proposed method.

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非视距环境下基于测距的室内定位系统的锚点部署优化

优化锚点部署对于确保室内定位系统在实际应用中的性能和定位稳定性至关重要。本文提出了一种新的锚点部署优化方法，以在不增加应用成本的情况下提高基于测距的定位系统在非视距（NLOS）环境下的定位性能。首先，通过同时考虑平均几何精度稀释（GDOP）和室内 NLOS 环境中可用定位区域的覆盖范围，提出了一种新的适配函数。然后，提出了一种基于粒子群优化（PSO）算法的搜索架构来优化锚点部署。给出了粒子群位置和速度的初始化方法，并详细介绍了搜索架构的计算过程。通过数值模拟和实验研究得出的结果验证了，对于 NLOS 环境下基于测距的定位系统，通过我们提出的方法优化锚点部署，可以显著提高精度和稳定性。

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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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice