BLE Location System RSSI Stabilization
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Solution Overview
Problem
The volatility of received signal strength indication (RSSI) in complex indoor environments due to radio frequency signal propagation issues, such as obstruction and multiple-path fading, makes it challenging to accurately determine the location of BLE-enabled objects using Bluetooth Low Energy (BLE) technology, particularly in applications like indoor asset tracking and patient/staff workflow monitoring.
Innovation Solution
A BLE-based location system and method that incorporates an input stabilization process to smooth and standardize beacon messages, a floor selection process to determine the correct floor in multi-floor environments, and a context-aware module to integrate location inputs from various technologies, minimizing location errors and enhancing response time, while allowing flexible deployment of location engines on devices or in the cloud.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If RSSI-based proximity detection is used for location determination, then the system can provide simple and low-cost location information, but the location accuracy deteriorates due to signal volatility caused by obstruction and multiple-path fading
Solution Approach 1:
The patent introduces an intermediary processing layer (location engine) that receives raw RSSI measurements and applies multiple correction algorithms including path loss models, shadowing compensation, and multi-path fading mitigation. This intermediary layer transforms the volatile RSSI signals into stable location estimates without changing the fundamental RSSI-based approach, thereby maintaining simplicity while improving accuracy.
Solution Approach 2:
The system implements feedback mechanisms where location estimates are continuously refined based on historical RSSI data, device motion information, and environmental characteristics. The location engine uses feedback from multiple measurements over time to compensate for signal volatility and provide more accurate and stable location determination.
2Measurement precision
If additional processing steps (input stabilization, floor selection, context-aware integration) are added to improve location accuracy, then location precision improves, but system complexity increases
Solution Approach 1:
The patent segments the location determination process into distinct functional modules: input stabilization module for RSSI smoothing, floor selection module for multi-floor environments, and context-aware integration module for combining multiple location technologies. Each module handles a specific aspect of location determination, making the complex system more manageable and maintainable while improving overall accuracy.
Solution Approach 2:
The location engine is designed as a universal platform that can handle multiple location technologies (BLE, Wi-Fi, cellular) and multiple application scenarios (indoor positioning, asset tracking, wayfinding) through a single integrated system. This multi-functional design reduces overall system complexity by avoiding the need for separate specialized systems for each function.
3Speed
If RSSI measurements are used directly for location determination, then the system responds quickly to location changes, but location errors increase due to signal volatility
Solution Approach 1:
The system employs periodic sampling of RSSI measurements at optimized intervals, combining this with exponential moving average filtering to smooth out rapid fluctuations while preserving genuine location changes. This periodic action with filtering reduces location errors caused by signal volatility while maintaining appropriate response times to actual position changes.
Solution Approach 2:
The input stabilization process performs preliminary smoothing and filtering of RSSI measurements before they are used for location determination. By pre-processing the signals to remove noise and volatility, the system reduces location errors in advance while maintaining the ability to detect genuine position changes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system achieves accurate location determination at room, bay, and bed levels, with sub-second boundary crossing detection and high accuracy asset tracking, reducing location errors and improving response times through RSSI stabilization, floor selection, and context-aware integration.
Implementation Method 1
Due to the significant impact of a complex indoor environment to the radio frequency (RF) signal propagation path such as obstruction, multiple-path, fading etc.
Data Source
AI summary
A BLE location system and method are disclosed. The BLE system may provide accurate location of a BLE enabled object in a three dimensional space. The three dimensional space may be a building and the BLE system and method permits accurate location at a room, bay, and bed level in the three dimensional space to be determined. In some embodiments, the BLE system may determine if a BLE enabled object crosses a boundary and the boundary may be, for example, a boundary to a room, such as a door, a boundary to a space, such as a hallway or meeting area, or a boundary to a particular location identified by set of coordinates (X,Y or X,Y,Z for example). The determination of the boundary crossing of the BLE enabled object or the location of the BLE enabled object may be used for staff and patient locating and their associated workflows as well as high accuracy asset tracking in a hospital embodiment.