Wireless Mesh Motion Detection via Transfer Function Analysis
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Solution Overview
Problem
Existing motion detection systems in mesh networks face challenges in detecting movement without line-of-sight and require dedicated infrastructure, limiting their efficiency and versatility.
Innovation Solution
The system utilizes wireless communication devices to analyze channel information from multiple communication links within a wireless mesh network, employing neural networks to detect motion and determine its location by analyzing changes in transfer function components over time, allowing for efficient motion detection using existing wireless devices and networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated motion detection infrastructure is used, then detection reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies universality by enabling wireless communication devices to perform both their primary communication function and motion detection function. Existing Wi-Fi or wireless devices analyze channel state information and transfer function components to detect motion, eliminating the need for dedicated motion detection hardware while maintaining detection capability through multi-functional use of standard devices
Solution Approach 2:
The system employs self-service by utilizing the wireless communication devices themselves to perform motion detection without requiring separate dedicated infrastructure. The devices leverage their own transmitted and received signal characteristics (channel state information, transfer function components) to detect motion in their environment, making the system self-sufficient and eliminating additional hardware requirements
2Measurement precision
If line-of-sight requirement is imposed, then detection precision is improved, but adaptability to various environments deteriorates
Solution Approach 1:
The patent replaces optical/mechanical line-of-sight detection with electromagnetic signal-based detection through channel state information analysis. By substituting the mechanical optical system with an electromagnetic field-based system that analyzes signal transfer characteristics, the system achieves motion detection without requiring direct line-of-sight while maintaining precision through sophisticated signal processing of transfer function components
3Ease of operation
If existing wireless devices are used for motion detection, then ease of operation and cost are improved, but measurement precision may deteriorate
Solution Approach 1:
The patent applies parameter changes by transforming standard wireless communication parameters (channel state information, transfer function components) into motion detection measurements. By analyzing changes in these existing communication parameters over time, the system extracts motion information with sufficient precision while using readily available data from standard wireless devices, thereby maintaining both ease of operation and adequate measurement precision
Data Source
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AI summary
In a general aspect of the examples described, motion is detected based on received wireless signals in a mesh network. In an example, transfer function components for each pair of devices are obtained. A time series of transfer function matrices is generated, with each of the transfer function matrices comprising a respective subset of the transfer function components. Motion of an object in the space is detected based on the time series of transfer function matrices.