Vehicle Wireless Ranging Using Concurrent Multiuser Positioning
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Solution Overview
Problem
Existing wireless communication systems for vehicle personalization and user positioning suffer from reliability issues due to environmental conditions and inefficiencies in handling multiple user devices, leading to inaccurate positioning and potential security vulnerabilities.
Innovation Solution
A method and system utilizing a cumulative cycle matrix and concurrent ranging sessions between user devices and vehicle units, facilitated by a processing algorithm, to improve positioning efficiency and security by scheduling and prioritizing access based on distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple user devices communicate with multiple vehicle units using existing wireless communication systems, then vehicle personalization and user positioning features can be provided, but positioning accuracy deteriorates and security vulnerabilities increase due to environmental conditions and inefficiencies in handling multiple devices
Solution Approach 1:
The system segments the wireless communication process into distinct phases: announcement phase where vehicle units broadcast their identities and capabilities, ranging phase where actual distance measurements are performed, and prioritization phase where devices are ranked based on distance metrics. This segmentation allows multiple user devices to be handled systematically, improving positioning accuracy while managing system complexity through structured protocol design.
Solution Approach 2:
The system performs preliminary actions by establishing a cumulative cycle matrix before actual ranging operations. This matrix pre-organizes the communication sequences between vehicle units and user devices, allowing the system to predict and optimize communication patterns in advance. This preliminary structuring reduces runtime complexity and improves positioning reliability by eliminating ad-hoc communication conflicts.
2Productivity
If concurrent ranging sessions are performed between multiple user devices and vehicle units, then positioning efficiency improves, but time lag and security risks increase without proper scheduling
Solution Approach 1:
The system implements periodic action through cyclic ranging sessions where vehicle units and user devices engage in structured rounds of communication. Each cycle follows a predetermined pattern announced in advance, allowing concurrent ranging to proceed systematically. This periodic structure enables parallel processing of multiple devices while maintaining timing synchronization, thus improving overall positioning efficiency without excessive time lag.
Solution Approach 2:
The system incorporates feedback mechanisms where the cumulative cycle matrix is continuously updated based on measured distance values and device prioritization results. This feedback loop allows the system to adjust communication schedules in real-time, optimizing the balance between concurrent ranging operations and time lag minimization. The feedback also enables security monitoring by detecting anomalies in ranging patterns.
3Reliability
If wireless communication systems handle multiple user devices without prioritization, then system versatility is maintained, but security vulnerabilities increase due to inability to distinguish malicious actors
Solution Approach 1:
The system applies local quality by assigning different priority levels to different user devices based on their measured distances from vehicle units. Instead of treating all devices uniformly, the system creates a prioritized list where devices closer to the vehicle receive higher priority. This localized differentiation enables security filtering by identifying and prioritizing legitimate users while maintaining the system's ability to handle diverse device types and scenarios.
Solution Approach 2:
The system changes parameters by using distance metrics as a dynamic prioritization criterion. The cumulative cycle matrix incorporates real-time distance measurements to adjust communication priorities, allowing the system to adapt its security posture based on spatial relationships. This parameter-based prioritization maintains versatility in handling multiple device types while providing a mechanism to identify and prioritize legitimate users versus potential malicious actors.
Data Source
AI summary
A method and system for wireless ranging with a vehicle are disclosed. The method includes communicating a plurality of user devices with a plurality of vehicle units to establish a wireless connection; performing ranging sessions between each of the plurality of user devices and the plurality of vehicle units, wherein each of the ranging sessions comprises a time taken between a user device and a respective vehicle unit, and wherein each of the ranging sessions are performed concurrently; generating, using an algorithm, a cumulative cycle matrix based on the time taken for performing each of the ranging sessions; and determining a position of each of the plurality of user devices relative to each of the plurality of vehicle units based on the cumulative cycle matrix.