Wireless Motion Localization via Bayesian Estimation
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Solution Overview
Problem
Existing motion detection systems struggle to accurately determine the location of motion within a space using wireless signals, as they often rely on optical sensors and do not effectively handle multi-path propagation and object presence detection.
Innovation Solution
The system analyzes channel information from multiple wireless communication devices to detect motion, determine its relative location, and identify the presence or absence of objects by using Bayesian estimation and beamforming techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical sensors are used to detect motion, then motion detection capability is achieved, but location determination accuracy deteriorates in complex environments with multi-path propagation
Solution Approach 1:
The patent replaces optical sensors with wireless communication devices that use electromagnetic signals for motion detection. This substitution enables the system to detect motion through changes in wireless signal characteristics (such as phase, amplitude, or time of flight) rather than relying on optical fields, thereby improving location determination accuracy in environments where optical sensors struggle with multi-path propagation and object presence detection
Solution Approach 2:
The patent changes the detection parameter from optical field characteristics to wireless signal characteristics. By monitoring variations in wireless signal parameters (phase shift, amplitude modulation, time of flight) caused by moving objects, the system achieves accurate location determination and motion detection that is adaptable to complex environmental conditions where optical methods fail
2Adaptability or versatility
If wireless signals are used for motion detection, then environmental adaptability is improved, but difficulty of detecting and measuring increases due to multi-path propagation
Solution Approach 1:
The patent segments the wireless signal into multiple components or uses multiple wireless communication devices to create separate measurement channels. By dividing the detection task across multiple signals or devices, the system can isolate and analyze specific signal characteristics that indicate motion while filtering out complex multi-path effects, thereby reducing the overall difficulty of detection and measurement
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors wireless signal characteristics and uses this information to adjust its detection algorithms. By feeding back measured signal variations into the analysis process, the system can dynamically adapt to changing environmental conditions and distinguish true motion signals from multi-path interference, reducing measurement complexity through iterative refinement
Data Source
AI summary
In a general aspect, a method for determining a location of motion detected by wireless communication devices in a wireless communication network includes obtaining motion data associated with a first time frame. The motion data includes a set of motion indicator values. The method also includes generating a first probability vector based on the set of motion indicator values and obtaining a second probability vector generated from motion data associated with a prior time frame. The method additionally includes obtaining a transition probability matrix that includes transition values and non-transition values. The method further includes determining, by operation of a data processing apparatus, a location of the motion detected from the wireless signals exchanged during the first time frame.