Wireless Sensing via Linkwise Motion Statistics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless sensing systems for object motion detection lack accuracy and are prone to false alarms due to environmental factors and limited detection ranges, and they fail to precisely localize motion within a venue.
Innovation Solution
A wireless sensing system that determines linkwise motion statistics by transmitting wireless signals through a multipath channel impacted by object motion, allowing for accurate sensing and localization of motion within a venue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless signals are transmitted through a multipath channel for motion detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the wireless sensing system into multiple independent device-links, where each link consists of a transmitter and receiver pair. Each link independently measures motion statistics through its own multipath channel, allowing parallel processing and improving measurement precision without requiring a single complex monolithic system.
Solution Approach 2:
The patent makes existing wireless communication devices (transmitters and receivers) perform dual functions: both data communication and motion sensing. By utilizing the multipath channel of wireless signals for both purposes, the system avoids adding dedicated sensing hardware, thereby improving measurement precision without proportionally increasing device complexity.
2Ease of operation
If existing wireless sensing systems are used for motion detection, then ease of operation is maintained, but reliability deteriorates due to false alarms
Solution Approach 1:
The patent implements feedback mechanisms where received wireless signals are processed to extract motion statistics, which are then fed back to update the system's understanding of the environment. This feedback loop allows the system to distinguish between real motion and environmental artifacts, reducing false alarms while maintaining ease of operation through automated processing.
Solution Approach 2:
The patent changes the measurement parameters from simple signal strength to linkwise motion statistics derived from multipath channel characteristics. By analyzing multiple parameters including phase, amplitude, and temporal variations across different device-links, the system achieves higher reliability in motion detection while maintaining operational simplicity through automated statistical analysis.
3Measurement precision
If linkwise motion statistics are computed from multiple device-links, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent segments the motion detection task across multiple parallel device-links, each independently computing linkwise motion statistics. This segmentation enables parallel processing of motion information from different spatial locations, improving measurement precision through aggregation of results while minimizing time loss through concurrent computation rather than sequential processing.
Solution Approach 2:
The patent performs preliminary actions by pre-establishing the set of device-links and their corresponding multipath channels before motion detection begins. This preliminary setup allows the system to directly process motion statistics without repeated channel estimation or setup time during actual motion detection, thereby improving measurement precision without significant time penalty.
4Measurement precision
If area-aware motion detection is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the sensing area into multiple zones covered by different device-links, each providing motion detection for its specific region. By aggregating the linkwise motion statistics from all device-links, the system achieves area-aware motion detection with high precision while maintaining relatively low complexity through modular, distributed sensing rather than a single complex centralized system.
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 achieves enhanced accuracy in detecting and localizing object motion, reducing false alarms and improving area-aware motion detection, thereby enabling more effective motion monitoring and control in various applications.
Implementation Method 1
transmitting a respective wireless signal from a respective transmitter of the respective device-link through a wireless multipath channel of the venue, wherein the wireless multipath channel is impacted by a motion of an object in the venue
Data Source
AI summary
Methods, apparatus and systems for wireless sensing based on linkwise motion statistics (link-MS) are described. In one example, a described method comprises: determining a plurality of heterogeneous wireless devices of a wireless sensing system in a venue; determining a plurality of device-links each of comprises two of the heterogeneous wireless devices, one functioning as a transmitter and the other functioning as a receiver; for each respective device-link of the plurality of device-links, transmitting a respective wireless signal from a respective transmitter of the respective device-link through a wireless multipath channel of the venue, wherein the wireless multipath channel is impacted by a motion of an object in the venue, receiving the respective wireless signal by a respective receiver of the respective device-link through the wireless multipath channel, wherein the respective received wireless signal differs from the respective transmitted wireless signal due to the wireless multipath channel of the venue and the motion of the object, obtaining a respective time series of channel information (TSCI) of the wireless multipath channel based on the respective received wireless signal of the respective device-link, computing a respective link-MS for the respective device-link based on the respective TSCI; performing a sensing task associated with the motion of the object based on at least one of: all the TSCI or all the link-MS; and computing a location in the venue associated with the sensing task based on all the link-MS.


