Wireless Motion Localization via Multipath Channel Analysis
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Solution Overview
Problem
Existing methods for step counting and walking detection in indoor localization systems fail to accurately account for uncertainties and spurious spikes in acceleration measurements, degrading detection results.
Innovation Solution
A collaborative wireless motion monitoring system comprising heterogeneous wireless devices that asynchronously receive and process wireless signals through multipath channels impacted by object motion, generating asynchronous time series of channel information to monitor motion accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If periodicity-based methods (autocorrelation or zero-crossing checking) are used for step counting, then the method is simple to implement, but the detection accuracy degrades due to uncertainties and spurious spikes in acceleration measurements
Solution Approach 1:
The patent introduces wireless channel information as an intermediary medium to detect motion. Instead of directly using acceleration sensors that produce spurious spikes, the system uses wireless signals (e.g., WiFi, Bluetooth) as a mediator to sense motion through changes in signal propagation characteristics (multipath components), thereby eliminating the harmful direct measurement of acceleration while maintaining detection capability
Solution Approach 2:
The patent replaces the mechanical/physical acceleration sensing system with an electromagnetic field-based wireless communication system. By substituting the mechanical acceleration measurement approach with wireless signal propagation analysis, the system avoids the limitations of physical sensors while achieving more accurate motion detection through signal processing of wireless channels
2Reliability
If acceleration sensors are used for motion detection, then the system can detect motion, but the measurement is degraded by uncertainties and spurious spikes
Solution Approach 1:
The patent uses wireless channel information as an intermediary to indirectly detect motion. Instead of directly measuring acceleration which produces spurious spikes, the system measures changes in wireless signal propagation characteristics (multipath components) caused by motion, thereby obtaining reliable motion information without the measurement errors of direct acceleration sensing
Solution Approach 2:
The patent converts the harmful spurious spikes and uncertainties in acceleration measurements into beneficial motion detection capability by using wireless signal propagation as a substitute measurement medium. The motion-induced changes in wireless channel characteristics provide clean, reliable motion information that replaces the corrupted acceleration data
3Ease of operation
If wireless signals are used for motion monitoring, then the system can non-contactly monitor motion, but the signals are impacted by multipath channels
Solution Approach 1:
The patent segments the wireless signal into multiple path components (multipath components) and processes each segment separately. By dividing the complex signal into distinct path segments and analyzing their individual characteristics, the system can extract accurate motion information while compensating for the distorting effects of the overall multipath channel
Solution Approach 2:
The patent applies different processing techniques to different path components based on their local characteristics. By analyzing the specific properties of each multipath component (such as delay, amplitude, phase) and applying appropriate processing to each, the system maintains high measurement precision despite the varying quality of individual signal paths
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
The system effectively mitigates the impact of uncertainties and spurious spikes, enhancing the accuracy of motion detection and localization by processing asynchronous time series of channel information from interconnected wireless devices.
Implementation Method 1
receiving, from each of the respective subset of Type 1 devices associated with the Type 2 device, a respective wireless signal through a respective wireless multipath channel impacted by a motion of an object in the venue
Data Source
AI summary
Methods, apparatus and systems for wireless monitoring for motion detection and localization are described. In one example, a described system comprises: Type 1 devices; Type 2 devices; and a processor. Each Type 2 device is configured for: asynchronously receiving, from each of a respective subset of Type 1 devices associated with the Type 2 device, a respective wireless signal through a respective wireless multipath channel impacted by a motion of an object in a venue; asynchronously receiving, from each of a subset of a respective set of at least one other Type 2 device interconnected wirelessly with the Type 2 device, a respective wireless signal through a respective wireless multipath channel impacted by the motion of the object; and obtaining a set of asynchronous time series of channel information (ATSCI), wherein each ATSCI is associated with a respective wireless multipath channel and is obtained based on the asynchronously received respective wireless signal. The processor is configured for monitoring the motion of the object based on the set of ATSCI associated with each Type 2 device.