Radar Biometric Signal Extraction with Statistical Interference Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radar-based systems face challenges in accurately detecting small movements or vibrations, such as breathing and heart rate, due to ambiguous reflections, interference, and errors in signal interpretation.
Innovation Solution
An electronic device with a radar system transmits signals to a target, receives reflections, determines differential phases and frequency modulations, and performs statistical analysis to generate biometric time-series data, reducing errors and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar systems transmit signals to detect small movements or vibrations, then biometric information can be obtained, but the reflections become ambiguous and experience interference
Solution Approach 1:
The patent segments the received radar signals into multiple components corresponding to different body parts or signal sources. By processing each segment separately and then combining results, the system reduces interference and ambiguity in the overall signal interpretation, thereby improving both measurement precision and reliability
Solution Approach 2:
The patent introduces statistical analysis as an intermediary processing layer between raw signal reception and biometric interpretation. This intermediary layer filters out ambiguous reflections and interference by applying statistical criteria to distinguish valid biometric signals from noise, resolving the contradiction between detecting small movements and maintaining signal reliability
2Measurement precision
If radar systems attempt to detect smaller movements such as breathing and heart rate, then more detailed biometric information is obtained, but errors are amplified
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors signal quality and adjusts processing parameters based on detected error patterns. By feeding back statistical information about signal reliability, the system can dynamically optimize detection sensitivity while compensating for amplified errors in small movement detection
Solution Approach 2:
The patent changes processing parameters dynamically based on signal characteristics. When detecting small movements like breathing and heart rate, the system adjusts statistical thresholds and processing gains to maintain detection sensitivity while reducing error amplification, thus resolving the contradiction between precision and reliability
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 provides more accurate biometric information, such as respiratory and cardiovascular functions, by reducing phase wrapping and interference effects through statistical analysis.
Implementation Method 1
An electronic device may include a radar system having a transmitter and a receiver. The transmitter may transmit a signal to a target object and the receiver may receive a reflection of the transmitted signal from the target object.
Implementation Method 2
the radar system may detect a movement or vibration of the target object based on the reflected signal
Data Source
AI summary
Systems and methods for determining fine grain motions and vibrations of live and/or inanimate objects are described based on using a radar system. For example, biometric information may be extracted from such vibrations associated with a live object. In different embodiments, processing circuitry may perform different statistical analysis on reflections from the objects. Moreover, the processing circuitry may perform different processing functions based on the statistical analysis to determine the vibrations with high accuracy. Furthermore, the processing circuitry may also select one or multiple target maps based on a field of view of the radar system for a more robust measurement of the vibrations associated with one or multiple objects.