Multi-Area RF Sensing with Cross-Area Detection Feedback
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Solution Overview
Problem
Existing RF-based sensing systems struggle with improved detection performance and latency in multiple sensing areas, particularly when sensing events are spatially adjacent or related.
Innovation Solution
An RF system with multiple nodes configured to perform RF-based sensing in multiple areas, where findings from one sensing area are used to optimize detection settings in adjacent areas, utilizing single-channel and multi-channel communication technologies based on confidence levels and environmental characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RF-based sensing is performed independently in each sensing area, then detection coverage is comprehensive, but detection performance and latency are suboptimal
Solution Approach 1:
The system performs preliminary RF sensing in a first sensing area to obtain findings about environmental characteristics, event types, and detection effectiveness. These findings are then used to pre-configure the second group of nodes for the second sensing area, allowing the second sensing area to skip initial detection phases and start with optimized settings, thereby reducing latency while maintaining detection performance.
Solution Approach 2:
The system uses findings from the first sensing area (including detection performance metrics, event types detected, and environmental characteristics) as feedback to dynamically configure the second group of nodes. This feedback mechanism allows the system to adapt sensing parameters, node selection, and communication technology based on actual detection results, improving both detection performance and reducing latency in subsequent sensing operations.
2Measurement precision
If sensing settings are optimized for each sensing area independently, then detection accuracy is maximized, but system complexity increases
Solution Approach 1:
The system uses a unified set of findings from the first sensing area to configure multiple aspects of the second sensing area (node selection, sensing parameters, communication technology). This multi-functional approach allows a single source of findings to optimize multiple detection aspects simultaneously, maintaining high detection accuracy while avoiding the complexity of independent optimization for each parameter.
Solution Approach 2:
The system dynamically changes sensing parameters (such as sampling rate, signal threshold, node activation) based on findings from the first sensing area. By adjusting parameters according to detected event types and environmental characteristics, the system achieves high detection accuracy for specific conditions without requiring complex fixed configurations for all possible scenarios.
3Reliability
If findings from first sensing area are used to configure second sensing area, then detection performance improves, but communication overhead increases
Solution Approach 1:
The system extracts only the essential findings from the first sensing area (such as event type categories, key environmental characteristics, and performance metrics) that are necessary for configuring the second sensing area. By selecting and transmitting only critical information rather than complete sensing data, the system reduces communication overhead while maintaining the ability to improve detection performance in the second sensing area.
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
Enhances detection performance and reduces latency by adapting communication technology settings based on findings from adjacent sensing areas, allowing for efficient and accurate detection of related sensing events.
Implementation Method 1
A first group of nodes (25) including at least two of the multiple nodes performs RF-based sensing in a first sensing area (50) for detecting a first sensing event
Data Source
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AI summary
The present invention relates to performing radio frequency based sensing in multiple sensing areas (50, 60) by multiple nodes (26, 28, 30, 38, 40, 42) located at different locations. A first group (25) of nodes includes at least two of the multiple nodes (26, 28, 30) and performs radio frequency based sensing in a first sensing area (50) for detecting a first sensing event. A second group (25') of nodes including at least two of the multiple nodes (38, 40, 42) is configured for performing radio frequency based sensing in a second sensing area (60) for detecting a second sensing event based on findings obtained by performing radio frequency based sensing in the first sensing area (50). The nodes (26, 28, 30, 38, 40, 42) may perform radio frequency based sensing based on multiple communication technologies (34). The findings may include which communication technology allows confidently detecting a sensing event.