Autonomous Transceiver Deployment via RF Signal Correlation
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Solution Overview
Problem
Conventional localization technologies require manual setup and rely on GPS signals, which are inaccurate in indoor environments due to obstacles, making them tedious and unreliable for tracking objects.
Innovation Solution
An autonomous deployment system of stationary transceivers that estimate their own locations using RF signals and then accurately determine the location attributes of mobile transceivers, improving accuracy by correlating received RF signals with device models to calculate angles of arrival.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual setup of tracking devices is used, then deployment is simple, but it is tedious and time-consuming
Solution Approach 1:
The stationary transceivers automatically determine their own locations by receiving and processing RF signals from other stationary transceivers. Each transceiver correlates received signals with its device model to estimate angles of arrival and calculate positions without requiring manual configuration or external intervention, thereby eliminating the tedious manual setup process while maintaining deployment simplicity.
2Reliability
If GPS signals are used for location tracking, then global coverage is achieved, but accuracy deteriorates in indoor environments due to obstacles
Solution Approach 1:
The system introduces stationary transceivers as intermediary devices that establish a localized RF signal infrastructure within indoor environments. These transceivers create a dedicated positioning network that mediates between the mobile transceiver and the physical environment, enabling accurate location tracking through RF signal correlation and angle of arrival estimation without relying on external GPS signals that are blocked by obstacles.
3Productivity
If automatic deployment of stationary transceivers is implemented, then deployment efficiency is improved, but device complexity increases due to selection process and device model correlation
Solution Approach 1:
The system performs preliminary actions by pre-establishing a network of stationary transceivers with known or determinable locations before mobile transceiver tracking begins. Each stationary transceiver pre-processes its device model and prepares signal correlation capabilities in advance, enabling automatic deployment and rapid location estimation without requiring complex real-time computations when mobile devices need tracking.
4Ease of operation
If location estimation of stationary transceivers is performed automatically, then manual configuration is eliminated, but measurement precision requirements increase for accurate angle of arrival estimation
Solution Approach 1:
The system implements feedback mechanisms where stationary transceivers continuously monitor and refine their location estimates by correlating received RF signals with their device models. The angle of arrival estimates are fed back into the location calculation process, and the system iteratively improves measurement precision by using the determined locations of stationary transceivers to enhance the accuracy of subsequent angle of arrival estimations and mobile transceiver position calculations.
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 enables precise location tracking of mobile transceivers within indoor environments by automatically deploying and calibrating stationary transceivers, enhancing accuracy beyond GPS limitations.
Implementation Method 1
each stationary transceiver performs a selection process of radio frequency (RF) signals received from the remaining stationary transceivers in the group
Implementation Method 2
each stationary transceiver estimates the location of the remaining stationary transceivers in the group by correlating the selected RF signals to a device model of the stationary transceiver that received the RF signals
Implementation Method 3
The correlation of the selected RF signals to the device model results in an estimation of location attributes of the stationary transceiver that transmitted the selected RF signals. In one embodiment, the location attributes include an angle of arrival of the RF signals
Data Source
AI summary
A transceiver system includes one or more groups of transceivers. The locations of the transceivers are initially unknown. During deployment, the location of each transceiver in the group is automatically estimated by the remaining transceivers in the group. Once the locations of the transceivers in the group are estimated, deployment of the transceivers is complete. The transceivers may estimate location attributes of mobile transceivers within a vicinity of the transceivers in the group.