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Indoor 3-D Localization Based on Received Signal Strength Difference and Factor Graph for Unknown Radio Transmitter.

Liyang Zhang1, Taihang Du2,3, Chundong Jiang4,5

  • 1School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China. zlysghr@163.com.

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Summary
This summary is machine-generated.

This study introduces a new 3-D radio transmitter localization algorithm using received signal strength difference (RSSD) and factor graphs (FG). The novel method achieves high accuracy in indoor environments, outperforming existing algorithms.

Keywords:
3-D localizationfactor graph (FG)radio transmitterreceived signal strength difference (RSSD)sum-product algorithm

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Signal Processing

Background:

  • Accurate radio transmitter localization is crucial for effective radio management.
  • Existing research primarily addresses 2-D scenarios, limiting practical applications.
  • Three-dimensional (3-D) localization is essential for real-world indoor environments.

Purpose of the Study:

  • To develop a novel 3-D localization algorithm for unknown radio transmitters.
  • To address both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions.
  • To improve positioning accuracy in complex indoor settings.

Main Methods:

  • Utilizing received signal strength difference (RSSD) measurements.
  • Employing a factor graph (FG) framework incorporating Gaussian distribution for error processing.
  • Constructing a 3-D RSSD-based FG model using local linearization.
  • Applying the sum-product algorithm for iterative computation.

Main Results:

  • The proposed algorithm demonstrates superior performance compared to k-nearest neighbors (kNN) and least square (LS) algorithms.
  • Achieved a mean localization error as low as 1.15 meters in experimental evaluations.
  • Investigated the impact of grid distances and the number of receivers on positioning accuracy.

Conclusions:

  • The developed algorithm offers an effective solution for accurate 3-D indoor radio transmitter localization.
  • The approach shows significant potential for practical applications in radio management and tracking.
  • The method provides robust performance under various indoor conditions, including NLOS.