Qualified Wireless Sensing Using Time Series Channel Information
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Solution Overview
Problem
Current wireless sensing systems face challenges in accurately monitoring and analyzing human activities through wireless signal propagation, particularly in rich-scattering environments, due to limitations in bandwidth and multipath signal complexities.
Innovation Solution
A qualified wireless sensing system that transmits and receives signals through a wireless multipath channel, using time series channel information (TSCI) to qualify devices and perform tasks, such as motion detection, by determining device qualification criteria and processing spatial-temporal information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless sensing systems use traditional bandwidth limitations, then device complexity is reduced, but measurement precision and reliability of human activity monitoring deteriorate
Solution Approach 1:
The patent segments the wireless sensing system into multiple functional components: signal transmission module, channel information extraction module, qualification evaluation module, and task execution module. Each module processes specific aspects of the complex multipath signals independently, making the overall system more manageable while maintaining high measurement precision for human activity monitoring.
Solution Approach 2:
The patent changes the operational parameters by utilizing time-series channel information (TSCI) and implementing device qualification tests that evaluate multiple criteria (signal strength, multipath characteristics, temporal patterns). This parameter transformation enables accurate monitoring in rich-scattering environments without requiring overly complex hardware, resolving the contradiction between precision and complexity.
2Reliability
If the system processes complex multipath signals in rich-scattering environments, then measurement precision improves, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary device qualification tests during system setup or periodic re-evaluation. By pre-establishing qualification criteria and pre-processing channel information to identify reliable devices and signal paths, the system reduces the computational burden during real-time motion detection, thereby decreasing processing time while maintaining high reliability.
Solution Approach 2:
The patent extracts and focuses only on the most relevant features from the complex multipath signals - specifically the time-series channel information that carries motion detection cues. By filtering out irrelevant signal components and concentrating processing resources on qualifying TSCI, the system achieves accurate motion detection with reduced processing time.
3Reliability
If the system implements comprehensive device qualification tests, then reliability of sensing data improves, but device complexity and operational overhead increase
Solution Approach 1:
The patent designs the qualification test framework to serve multiple functions: it evaluates device capability, assesses signal quality, determines suitability for specific tasks, and provides a basis for data trustworthiness assessment. This multi-functionality consolidates what would otherwise be separate complex operations into a unified qualification process, improving reliability without proportionally increasing complexity.
Solution Approach 2:
The patent implements dynamic qualification testing where the evaluation criteria and thresholds can be adjusted based on environmental conditions, task requirements, and device performance trends. Rather than using fixed complex tests, the system adapts the qualification process dynamically, maintaining high reliability while minimizing operational overhead by only performing necessary evaluation steps.
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
Enables effective monitoring and analysis of human activities by accurately extracting and processing TSCI, enhancing the capability to detect motion and recognize patterns in complex environments.
Implementation Method 1
transmitting a wireless signal from a Type 1 device to a Type 2 device through a wireless multipath channel of a venue
Data Source
AI summary
Methods, apparatus and systems for qualified wireless sensing are described. In one embodiment, a described method comprises: transmitting a wireless signal from a Type 1 device to a Type 2 device through a wireless multipath channel of a venue; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the wireless signal; performing a qualification test based on the TSCI for at least one to-be-qualified device, which is at least one of: the Type 1 device, a module of the Type 1 device, an integrated circuit (IC) of the Type 1 device, the Type 2 device, a module of the Type 2 device, or an IC of the Type 2 device; determining that each of the at least one to-be-qualified device is a qualified device based on a determination that a respective qualification criterion associated with the to-be-qualified device is satisfied, to obtain at least one qualified device; and performing a task based on the TSCI using the at least one qualified device.