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Target Localization via Integrated and Segregated Ranging Based on RSS and TOA Measurements
Slavisa Tomic1,2, Marko Beko3,4
1COPELABS, Universidade Lusófona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, Portugal. slavisa.tomic@ulusofona.pt.
Sensors (Basel, Switzerland)
|January 13, 2019
Summary
This study improves target localization in non-line-of-sight (NLOS) environments. A new heuristic approach selects the best measurement (received signal strength or time of arrival) for each link, enhancing localization accuracy.
Area of Science:
- Signal Processing
- Wireless Communication
- Localization Techniques
Background:
- Target localization in non-line-of-sight (NLOS) environments presents significant challenges.
- Existing methods often combine received signal strength (RSS) and time of arrival (TOA) measurements, but their effectiveness varies with distance.
- A critical distance concept suggests that hybrid RSS-TOA is suboptimal below and above certain thresholds compared to individual measurements.
Purpose of the Study:
- To revise state-of-the-art estimators for target localization in NLOS environments.
- To evaluate the performance of hybrid RSS-TOA estimators against those using only RSS or TOA.
- To propose and validate a novel heuristic approach for selecting optimal measurement types in NLOS localization.
Main Methods:
- Performance evaluation of existing target localization estimators.
- Comparative analysis of hybrid RSS-TOA, RSS-only, and TOA-only measurement strategies.
- Development of a heuristic method to dynamically select the best measurement for each communication link.
- Simulations to assess estimator performance under various NLOS conditions.
Main Results:
- The hybrid RSS-TOA approach is not universally superior for target localization.
- A proposed heuristic method effectively selects the optimal measurement (RSS or TOA) for individual links.
- The heuristic approach enhances localization performance, matching or exceeding the best fixed measurement strategy in simulations.
- Findings partially align with line-of-sight (LOS) literature but highlight the need for further NLOS research.
Conclusions:
- A dynamic, heuristic measurement selection strategy offers significant advantages for target localization in challenging NLOS environments.
- The proposed method provides a practical enhancement over fixed-strategy estimators by adapting to link-specific conditions.
- Further investigation is warranted to refine localization techniques specifically for complex NLOS scenarios.
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