Network Re-Baselining Control for Stable RF Presence Detection
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Solution Overview
Problem
The accuracy of motion and presence detection in smart home networks using wireless signals depends on the quality of current and baseline detection signals, which can be compromised by environmental changes, leading to inconsistent detection results.
Innovation Solution
A re-baselining control system that determines a new baseline for network devices based on detection signals, using a quality criterion checking unit to ensure high-quality baselines are established only when predetermined criteria are met, thereby maintaining detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If re-baselining is performed frequently to adapt to environmental changes, then detection accuracy is improved, but system stability deteriorates due to unnecessary baseline updates
Solution Approach 1:
The system performs preliminary quality assessment of detection signals before executing re-baselining. The quality criterion checking unit evaluates signals in advance to determine if they meet the required quality threshold, preventing premature or low-quality baseline updates while ensuring updates occur only when environmentally appropriate.
Solution Approach 2:
The system implements a feedback mechanism where the quality criterion checking unit continuously monitors detection signal quality and provides feedback to control re-baselining execution. This feedback loop ensures baseline updates are triggered only when signal quality meets predetermined criteria, balancing adaptability with stability.
2Stability of the object's composition
If re-baselining is delayed to maintain baseline stability, then system stability is improved, but detection accuracy deteriorates due to outdated baselines
Solution Approach 1:
The system prepares potential new baselines in advance by continuously evaluating detection signal quality. When a signal meets the quality criterion, the system is ready to update the baseline immediately, ensuring timely adaptation to environmental changes while maintaining stability through quality gates.
Solution Approach 2:
The quality criterion checking mechanism provides continuous feedback on signal quality, enabling the system to detect when environmental changes have degraded baseline quality and trigger re-baselining at the optimal moment, balancing stability with accuracy.
3Measurement precision
If quality criteria are made stringent to ensure high-quality baselines, then detection accuracy is improved, but the frequency of re-baselining decreases, reducing adaptability
Solution Approach 1:
The system adjusts the quality criterion threshold as a controllable parameter. By tuning this threshold, the system can balance between stringent quality requirements (improving accuracy) and more lenient requirements (increasing adaptability), allowing optimization for different operational contexts.
4Adaptability or versatility
If quality criteria are made lenient to increase re-baselining frequency, then adaptability is improved, but detection accuracy deteriorates due to low-quality baselines
Solution Approach 1:
The system modifies the quality criterion threshold parameter to control re-baselining frequency. By setting appropriate threshold values, the system achieves the desired balance between adaptability (frequency of updates) and accuracy (quality of updates), preventing both overly stringent and overly lenient behavior.
Data Source
AI summary
The invention refers to a system that allows to improve a detection accuracy in network RF sensing. A system (150) for controlling a re-baselining of a network device (110) is presented, wherein a new baseline is determined based on a detection signal detected by the network device and/or detected by other network devices (130, 120), wherein the system comprises a detection signal providing unit (151) for providing a detection signal detected by the network device and/or by other network devices in the detection area, a quality criterion checking unit (152) for checking if a predetermined quality criterion for a re-baselining is fulfilled based on the provided detection signal, and a re-baselining unit (156) for controlling the network device to re-baseline if the predetermined quality criterion is fulfilled. Thus, the long term detection accuracy in detecting the presence or absence of a subject in the detection area can be improved.