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RSS Indoor Localization Based on a Single Access Point.

Akis Kokkinis1, Loizos Kanaris2, Antonio Liotta3

  • 1Department of Electrical Engineering, Eindhoven University of Technology, 5600 Eindhoven, The Netherlands. a.kokkinis@tue.nl.

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Summary
This summary is machine-generated.

This study shows how combining radio signal strength (RSS) data from a single multi-antenna access point (AP) improves indoor device localization. Modifying antenna settings creates unique fingerprints for accurate positioning, even with one AP.

Keywords:
fingerprintingindoor positioninginformation fusionlocalizationmultiple antennapolarizationpositioning accuracysingle access point positioning

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Area of Science:

  • Wireless communication
  • Indoor localization systems
  • Signal processing

Background:

  • Accurate indoor device localization is crucial for many applications.
  • Existing systems often rely on multiple access points (APs) or complex infrastructure.
  • Received Signal Strength (RSS) based localization offers a cost-effective alternative.

Purpose of the Study:

  • To investigate the fusion of RSS information from a single, multi-antenna AP for enhanced device localization.
  • To demonstrate the generation of unique, low-correlation fingerprints by manipulating AP antenna orientation and polarization.
  • To develop a methodology for selecting optimal fingerprint layers in a multi-layer radiomap for improved localization accuracy.

Main Methods:

  • Generating multiple fingerprint radiomaps using different antenna orientations/polarizations from a single AP.
  • Combining fingerprints into a multi-layer radiomap.
  • Evaluating localization accuracy using Weighted k-Nearest-Neighbor (WKNN) and Minimum Mean Square Error (MMSE) algorithms.
  • Selecting optimal fingerprint layers using the Tolerance Based-Normal Probability Distribution (TBNPD) algorithm to minimize correlation.

Main Results:

  • Demonstrated that modifying AP antenna orientation and polarization generates unique, low-correlation fingerprints.
  • Successfully created and optimized multi-layer fingerprint radiomaps from a single AP.
  • Showcased improved localization accuracy by selecting optimal fingerprint layers.
  • Validated the effectiveness of the proposed offline phase methodology.

Conclusions:

  • The proposed approach enables effective device localization using RSS information fusion from a single multi-antenna AP.
  • This method provides a viable solution for localization services in areas with limited AP coverage.
  • Optimizing fingerprint layers significantly enhances the accuracy of RSS-based indoor localization systems.