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Indoor Localization Based on Infrared Angle of Arrival Sensor Network
1University of Rijeka, Faculty of Engineering, 51000 Rijeka, Croatia.
Sensors (Basel, Switzerland)
|November 7, 2020
Summary
This study introduces a new infrared sensor for precise indoor localization, overcoming signal issues and high costs. The system achieves centimeter-level accuracy for static scenarios and up to 1m for moving objects, enabling real-time navigation.
Area of Science:
- Robotics and Automation
- Sensor Technology
- Wireless Communication
Background:
- Accurate real-time indoor localization is crucial for context-aware applications and the Internet of Things (IoT).
- Existing localization systems face challenges with non-line-of-sight (NLOS) signal propagation, high installation costs, and significant computational/energy demands.
- Limitations in current technologies hinder the widespread adoption of advanced location-based services.
Purpose of the Study:
- To present a novel indoor localization system utilizing infrared (IR) Angle-of-Arrival (AoA) sensors.
- To address the limitations of existing systems by operating in a line-of-sight (LOS) context and avoiding NLOS issues.
- To demonstrate the system's effectiveness in a practical application, such as supermarket cart navigation.
Main Methods:
- Development of a novel low-range infrared (IR) sensor for high-precision Angle-of-Arrival (AoA) estimation.
- Integration of the IR-AoA sensor into a Wireless Sensor Network (WSN) for pragmatic localization.
- Implementation of a proof-of-concept system including sensor prototypes, WSN, server-side API, and client applications (smartphone/smartwatch).
Main Results:
- Achieved centimeter-level accuracy in static, one-dimensional (1D) localization scenarios.
- Demonstrated up to 1-meter mean localization error for a mobile cart moving at 140 cm/s in a two-dimensional (2D) setup.
- Validated the system's capability for real-time navigation support in a supermarket environment.
Conclusions:
- The proposed IR-AoA sensor and WSN-based localization system effectively overcomes NLOS propagation issues and reduces hardware costs.
- The solution provides appropriate localization accuracy and real-time navigation capabilities suitable for supermarket environments.
- Readily available IR technology with inexpensive hardware components offers a viable path for advanced indoor localization applications.
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