RF Ranging Devices for VR Positioning via Segmentation
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Solution Overview
Problem
Current radio frequency (RF) range measurement systems are not widely adopted due to limitations in application, despite their high accuracy and signal processing capabilities, as they are typically large, expensive, and lack versatility for various use cases.
Innovation Solution
Development of low-cost, battery-operated RF range measurement devices (RMDs) that are compact, accurate, and capable of peer-to-peer operation, multiplexing, and simultaneous measurement, with applications in human-computer interaction, VR/AR, and other fields, using RMDs integrated into styluses, environments, and wearable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional RF range measurement systems are used, then measurement precision is improved, but device size and cost increase
Solution Approach 1:
The system divides the RF ranging function into separate components: RMDs embedded in VR devices perform local range measurements, while a separate server performs the computationally intensive multilateration calculations. This segmentation allows precise measurements at the edge devices without requiring complex processing in each device.
Solution Approach 2:
A server acts as an intermediary that receives range measurements from multiple RMDs and performs multilateration to determine device positions. This intermediary handles the complex calculations centrally, allowing client devices to remain compact while maintaining high measurement precision through sophisticated algorithms.
2Productivity
If multiple RMDs perform simultaneous measurements, then productivity is improved, but device complexity increases
Solution Approach 1:
The system uses time-division multiplexing where multiple RMDs perform measurements in periodic time slots rather than truly simultaneously. Each RMD is assigned specific time windows for transmission and measurement, allowing high measurement rates while managing complexity through structured temporal separation of signals.
Data Source
AI summary
Two or more objects, or an object and an environment are each fitted with two or more range measurement devices. Each of the range measurement devices is provided with a transceiver capable of outputting a unique code and information that can be used in range measurement, and receiving from other range measurement devices unique codes and information that can be used in range measurement. Range measurements from range measurement devices on the object or located in the environment are used to derive the relative position of the range measurement devices, from which a relative position of the objects, or of the object and an environment can be derived.