RF Message Loss Analysis to Separate Activity Events from Interference
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Solution Overview
Problem
Existing RF systems struggle to accurately determine the cause of missing RF messages, leading to impaired RF-based sensing performance due to potential interference from activity events or wireless noise, resulting in false positives or negatives.
Innovation Solution
An RF system configured to analyze various RF system criteria, including signal quality metrics and noise baselines, to differentiate between message loss caused by activity events and wireless interference, allowing improved detection and classification of tangible entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RF-based sensing is performed using transmitted and received RF messages, then detection capability is improved, but false positives or negatives occur due to inability to distinguish between message loss caused by activity events and wireless interference
Solution Approach 1:
The system implements feedback by analyzing whether RF messages were completely transmitted and received, and using this information to determine the cause of message loss. The receiving node sends feedback about message completion status, and the transmitting node uses this feedback along with RF system criteria to distinguish between activity events and wireless interference, thereby improving detection reliability
Solution Approach 2:
The patent introduces an intermediary analysis mechanism that examines RF system criteria (such as message transmission status, signal quality metrics, and noise levels) to mediate between the raw RF messages and the final detection decision. This intermediary layer helps distinguish whether message loss is due to activity events or wireless interference before making sensing determinations
2Measurement precision
If the system determines cause of missing RF messages by analyzing RF system criteria, then false alarms are reduced, but system complexity increases
Solution Approach 1:
The system segments the problem of determining message loss causes into distinct analytical components: (1) determining whether messages were completely transmitted, (2) determining whether messages were completely received, (3) analyzing RF system criteria such as signal quality and noise levels, and (4) synthesizing this information to classify the cause. This segmentation makes the complex determination process more manageable and implementable
Solution Approach 2:
The system performs preliminary actions by first determining the transmission status and reception status of RF messages before making the final cause determination. By pre-analyzing message completion status and gathering RF system criteria in advance, the system reduces the complexity of the final classification step while maintaining high detection accuracy
Data Source
AI summary
The present invention relates to operating an RF system (100) comprising multiple nodes (26, 28, 30) for transmitting and/or receiving RF messages (34). RF messages transmitted by a transmitting node (26) are received at receiving nodes (28, 30). It is determined whether the RF messages were completely received. Upon missing at least part of the RF messages at the receiving nodes, it is determined whether missing of at least part of the RF messages is caused by an activity event of a tangible entity (32) in transmission paths (40) between the transmitting node and the receiving nodes based on one or more RF system criteria. The RF messages (34) may include RF-based sensing messages (36) and RF data messages (38). A discrepancy between missed parts of the RF-based sensing messages and missed parts of the RF data messages may be determined and included in the RF system criteria.