Bluetooth Ranging with Spatial RSSI Weighting for Indoor Accuracy
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Solution Overview
Problem
Existing Bluetooth® ranging methods are inaccurate when devices are mobile, particularly in indoor scenarios due to signal fluctuations and multipath interference, failing to meet user requirements for precise distance measurement.
Innovation Solution
A Bluetooth® ranging method that uses a model fitted based on weights of different spatial positions, incorporating RSSI measurements and spatial weights to improve accuracy, and considers the gain direction of the Bluetooth® antenna for precise distance calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional Bluetooth ranging methods are used, then device collaboration can be enabled, but ranging accuracy deteriorates due to signal fluctuations and multipath interference in indoor mobile scenarios
Solution Approach 1:
The patent applies local quality by considering the specific spatial position of the response device relative to the request device and assigning different weights to different spatial positions. The ranging model incorporates spatial position information to provide location-specific accuracy compensation, addressing the fact that signal propagation characteristics vary by location due to multipath interference and reflections.
Solution Approach 2:
The patent changes the parameter approach by introducing spatial position as a new dimension to the ranging model. Instead of using a single universal ranging model, the system adjusts the model parameters based on the spatial relationship between devices, transforming the ranging calculation from a one-size-fits-all approach to a location-aware approach that compensates for signal fluctuations.
2Measurement precision
If multiple RSSI measurements at different spatial positions are processed with weights, then ranging accuracy improves, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing the ranging model with weight values for different spatial positions before actual ranging operations. The model is built in advance using training data or simulation results, so that during real-time ranging, the system only needs to look up the appropriate weight values and perform simple calculations, avoiding the need for complex real-time analysis.
Solution Approach 2:
The patent implements feedback by using the measured RSSI values at different spatial positions to refine the ranging model. The system compares the actual measured values with predicted values and adjusts the weight parameters accordingly, creating a feedback loop that continuously improves ranging accuracy while keeping the computational complexity manageable through iterative optimization.
Data Source
AI summary
A Bluetooth® ranging method includes: A response device establishes a Bluetooth® communication connection to a request device; the response device measures signal strength of a ranging request after receiving the ranging request, to obtain a first received signal strength indication RSSI; the response device obtains a first distance based on the first RSSI and a Bluetooth® ranging model, where the Bluetooth® ranging model is obtained through fitting based on a correspondence between a preset distance from the request device and a modified RSSI at the preset distance, and the modified RSSI is obtained by processing a plurality of RSSIs measured at a plurality of spatial positions when the request device broadcasts a Bluetooth® signal, and weights corresponding to the plurality of spatial positions; and the response device sends the first distance to the request device. A distance between devices can be accurately measured using the disclosed techniques.