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An Effective Single-Station Cooperative Node Localization Technique Using Multipath Spatiotemporal Information.

Di Bai¹, Xinran Li¹, Lingyun Zhou¹

¹College of Electronics and Information Engineering, South-Central Minzu University, Wuhan 430074, China.

Sensors (Basel, Switzerland)

|February 13, 2025

Summary

This summary is machine-generated.

This study introduces a novel single-station cooperative node localization method using only two antennas. It achieves high-precision positioning (within 0.1 m) by leveraging multipath components and virtual stations.

Keywords:

collaborative sensor node dual-antenna multipath spatiotemporal information single-station localization

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Area of Science:

Electrical Engineering
Signal Processing
Wireless Communication

Background:

Cooperative node localization is critical for radio frequency (RF) sensor networks.
Existing geometric methods require multiple nodes, synchronized clocks, and incur high costs.
Complex system architectures hinder widespread adoption of RF sensor networks.

Purpose of the Study:

To develop an effective single-station cooperative node localization technique.
To reduce system complexity and construction costs for RF sensor networks.
To achieve high-precision localization using minimal hardware.

Main Methods:

A single-station localization technique using only two antennas is proposed.
Virtual stations (VSs) are constructed by analyzing spatiotemporal information from multipath components (MPCs).
A dual-antenna direction-finding algorithm and matched filtering are employed for precise source position estimation.

Main Results:

The proposed method enables single-station localization with high accuracy, typically within 0.1 meters.
Virtual stations are effectively constructed using spatial information from MPCs.
Spatiotemporal information correlation enhances the precision of source position estimation.

Conclusions:

The developed technique offers a cost-effective and simpler alternative for cooperative node localization.
High-precision single-station localization is achievable with minimal infrastructure.
This method has significant potential for various RF sensor network applications.