Indoor Real-Time Localization Algorithm Based on Angle of Arrival of Wi-Fi Signal

TIAN Zeng-shan; WEI Ping; LI Ze; ZHOU Mu

doi:10.12263/DZXB.20190352

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Indoor Real-Time Localization Algorithm Based on Angle of Arrival of Wi-Fi Signal

更新时间：2025-12-08

- Indoor Real-Time Localization Algorithm Based on Angle of Arrival of Wi-Fi Signal
- Acta Electronica Sinica Vol. 49, Issue 2, Pages: 408-416(2021)
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院,重庆,400065
  2. 移动网络和移动多媒体技术国家重点实验室,广东,深圳,518055
  3. 重庆邮电大学通信与信息工程学院,重庆,400065
  4. 移动网络和移动多媒体技术国家重点实验室,广东,深圳,518055
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20190352
  CLC： TN961
- Published Online：25 February 2021，
  
  Published：2021
- 稿件说明：
移动端阅览
TIAN Zeng-shan, WEI Ping, LI Ze, et al. Indoor Real-Time Localization Algorithm Based on Angle of Arrival of Wi-Fi Signal[J]. Acta Electronica Sinica, 2021, 49(2): 408-416.
DOI：

TIAN Zeng-shan, WEI Ping, LI Ze, et al. Indoor Real-Time Localization Algorithm Based on Angle of Arrival of Wi-Fi Signal[J]. Acta Electronica Sinica, 2021, 49(2): 408-416. DOI： 10.12263/DZXB.20190352.

摘要

针对现有商用Wi-Fi接入点（Access Point，AP）天线的个数限制了基于多天线到达角（Angle of Arrival，AoA）高精度定位的问题，本文提出了一种基于Wi-Fi的室内实时角度定位算法.提出了基于Wi-Fi系统的角度估计算法，能够在天线数量以及快拍数少的情况下快速地估计直视（Line of Sight，LoS）路径的到达角，保证定位的实时性；利用IEEE 802.11 Saleh-Valenzuela（S-V）信道模型分析了多径信号对直达信号能量谱峰的影响；为了提高定位精度提出了基于天线选择的多AP联合定位算法；为了验证系统的有效性搭建了实时定位演示系统.本文通过实际测试验证了所提算法可以达到67% 1.2m的定位精度，定位时延在0.5s以内.

Abstract

Aiming at the problem that the number of commercial Wi-Fi access points (AP) antennas restricts the high-precision positioning based on angle of arrival (AoA)

this paper proposes an indoor real-time positioning algorithm based on Wi-Fi signal. An AoA estimation algorithm using Wi-Fi is proposed

which can quickly estimate the AoA of the line of sight (LoS) path with few antennas and snapshots to ensure real-time positioning. The IEEE 802.11 Saleh-Valenzuela (S-V) channel model analyses the influence of multipath signals on the energy spectrum peaks of direct signals. In order to improve the positioning accuracy

a multi-AP joint positioning algorithm based on antenna selection is proposed. A real-time positioning demonstration system is built to verify the effectiveness of the system. The experiment results show that the proposed algorithm can achieve 67% 1.2m positioning accuracy and the positioning delay is less than 0.5 seconds.

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