Bluetooth Device Locator Using RSSI Regression Analysis
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Solution Overview
Problem
Existing Bluetooth technologies can only determine the range of a Bluetooth device within a 15-meter radius, making it difficult to accurately locate a device in crowded spaces with obstacles, as they do not provide directional information necessary for precise positioning.
Innovation Solution
A system using received signal strength indicators (RSSI) from multiple locations to perform regression analysis and determine the orientation of a detecting device, allowing for the precise location of a target Bluetooth device by selecting candidate locations based on the orientation and historical signal characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If Bluetooth signal range is extended to 15 meters, then coverage area is improved, but location precision deteriorates
Solution Approach 1:
The patent divides the 15-meter Bluetooth coverage area into multiple discrete locations by moving the detecting device to different positions and measuring RSSI at each location. This segmentation transforms a continuous large-area search into discrete point measurements, enabling precise location determination within the extended coverage range.
Solution Approach 2:
The patent introduces directional information as an additional dimension beyond simple distance measurement. By determining the orientation of the detecting device and combining it with RSSI data from multiple locations, the system achieves two-dimensional location precision (distance and direction) rather than just radial distance, resolving the precision loss from extended range.
2Ease of operation
If only distance information is provided, then simplicity is improved, but directional accuracy deteriorates
Solution Approach 1:
The patent uses the orientation of the detecting device as an intermediary to translate RSSI measurements into directional information. The device's orientation acts as a mediator that converts signal strength data into both distance and direction components, providing complete location information without complicating the measurement process.
3Measurement precision
If regression analysis with multiple locations is used, then location precision is improved, but device complexity increases
Solution Approach 1:
The patent leverages the natural movement of the detecting device and its built-in sensors (accelerometer, gyroscope, magnetometer) to automatically capture orientation data. The device serves itself by using its own motion and sensor capabilities to gather the multi-location RSSI and orientation data needed for regression analysis, reducing the need for external complex positioning infrastructure.
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
Enables efficient and accurate location of Bluetooth devices within 1-2 meters, providing both distance and direction, thereby improving the ability to detect and locate devices in complex environments.
Implementation Method 1
measuring a received signal strength indicator (RSSI) of the Bluetooth signal at each of the plurality of locations
Data Source
AI summary
Examples disclosed herein involve determining a location of a Bluetooth device relative to a detecting device based on measured received signal strength indication (RSSI). In examples herein, a regression analysis of RSSIs of a Bluetooth signal and locations of a detecting device are used to determine the location of the target Bluetooth device.