Wireless Motion Monitoring via Channel State Information
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Solution Overview
Problem
Existing motion detection systems, such as those using passive infrared (PIR), active infrared (AIR), and ultrasonic sensors, suffer from inaccuracies, false alarms, limited detection ranges, and the need for line-of-sight, making them unsuitable for reliable object motion monitoring in various environments.
Innovation Solution
A wireless motion monitoring system that processes wireless channel information (CI) by transmitting and receiving signals through a wireless multipath channel, extracting time series of channel information (TSCI), and computing spatial-temporal information (STI) to accurately monitor object motion and generate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional motion detection systems (PIR, AIR, ultrasonic sensors) are used, then device complexity is reduced, but measurement precision and reliability deteriorate due to false alarms and limited detection ranges
Solution Approach 1:
The patent replaces traditional mechanical and optical motion detection systems (PIR, ultrasonic sensors) with a wireless communication-based system that uses WiFi or similar wireless signals to detect motion through channel state information analysis. This substitution eliminates the need for complex optical sensors and mechanical components while achieving higher detection accuracy through signal processing.
Solution Approach 2:
The system utilizes existing wireless communication infrastructure (WiFi routers, smartphones) to perform motion detection, thereby making the system universally applicable without requiring specialized detection hardware. The wireless signals serve dual purposes: communication and motion detection, reducing overall system complexity while improving measurement precision.
2Reliability
If traditional motion detection systems are used, then ease of operation is improved, but reliability deteriorates due to false alarms and limited detection ranges
Solution Approach 1:
The system automatically performs motion detection and analysis using background wireless signals without requiring manual configuration or complex setup. The channel state information is extracted and processed automatically by the system, eliminating the need for user intervention while maintaining high reliability through automated signal analysis.
Solution Approach 2:
The system continuously monitors wireless channel state information and provides feedback to detect motion patterns. By analyzing changes in channel state over time, the system can reliably distinguish between actual motion and environmental noise, reducing false alarms while maintaining ease of operation through automated feedback-based detection.
3Measurement precision
If traditional motion detection systems are used, then device complexity is reduced, but measurement precision deteriorates due to need for line-of-sight and limited detection range
Solution Approach 1:
The patent replaces line-of-sight dependent optical and ultrasonic detection systems with wireless communication-based detection that does not require direct line-of-sight. The system analyzes channel state information from wireless signals that can propagate through obstacles, thereby extending detection range and improving accuracy without adding complex hardware.
Solution Approach 2:
The system transitions from two-dimensional optical detection to three-dimensional wireless signal-based detection, allowing motion detection in all spatial directions regardless of line-of-sight conditions. This dimensional change enables the system to detect motion through walls and obstacles by analyzing signal reflections and multipath components.
4Reliability
If traditional motion detection systems are used, then ease of manufacture is improved, but reliability deteriorates due to false alarms
Solution Approach 1:
The patent replaces traditional sensor-based systems with a software-based signal processing approach that analyzes channel state information from existing wireless signals. This substitution eliminates the need for manufacturing specialized sensors while achieving higher reliability through sophisticated signal analysis and machine learning-based motion detection.
Solution Approach 2:
The system changes the detection parameters from physical sensor outputs to wireless signal characteristics (channel state information). By analyzing multiple parameters of wireless signals (amplitude, phase, frequency) and their temporal patterns, the system achieves high reliability in distinguishing actual motion from false conditions without complicating the manufacturing process.
Data Source
AI summary
Methods, apparatus and systems for wireless motion monitoring to ensure security are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel and a motion of an object in the venue. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal; computing a spatial-temporal information (STI) based on the TSCI; monitoring the motion of the object based on the TSCI and the STI; performing a task based on the monitoring; and generating a response based on the task.