Antenna Array Sensor for Posture Estimation via Radar Cross-Section
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Solution Overview
Problem
Existing methods for estimating the posture of an organism using wireless signals lack precision and efficiency, often requiring long observation times, costly installations, and are unable to accurately detect direction, position, and posture.
Innovation Solution
A sensor system with multiple transmit and receive antenna elements that calculate complex-number transfer function matrices from received signals, extracting components influenced by vital signs to estimate position and posture using radar cross-section values and stored associations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing wireless signal methods are used to estimate posture, then detection capability is provided, but measurement precision and efficiency are insufficient
Solution Approach 1:
The patent segments the wireless signal processing into multiple independent components: channel information extraction, Doppler spectrum analysis, and radar cross-section calculation. By dividing the estimation process into separable stages, the system can efficiently process signals without requiring long observation times, thus improving measurement precision while reducing time loss.
Solution Approach 2:
The patent transforms the estimation approach by changing key parameters: instead of relying on long-time statistical analysis, it uses instantaneous channel information combined with Doppler frequency characteristics. This parameter transformation enables rapid posture estimation with high precision, resolving the contradiction between measurement accuracy and observation time.
2Measurement precision
If existing wireless signal methods are used to estimate posture, then detection capability is provided, but efficiency is insufficient
Solution Approach 1:
The patent replaces traditional mechanical measurement systems with wireless signal-based electronic detection. By using electromagnetic wave propagation characteristics and Doppler effects, the system achieves high-precision position and posture estimation without physical contact or complex mechanical setups, thereby improving both precision and efficiency simultaneously.
Solution Approach 2:
The system changes the detection parameters from time-based statistical analysis to frequency-based Doppler analysis combined with channel state information. This parameter transformation enables rapid extraction of posture information, significantly improving estimation efficiency while maintaining high precision.
3Measurement precision
If existing wireless signal methods are used to estimate posture, then basic detection is provided, but direction and position detection accuracy is insufficient
Solution Approach 1:
The patent implements a universal wireless signal processing framework that simultaneously extracts multiple parameters (position, direction, posture, vital signs) from the same channel information. This multi-functional approach eliminates the need for separate detection systems for each parameter, reducing installation complexity while improving direction and position detection precision through integrated analysis.
Solution Approach 2:
The patent introduces channel information as an intermediary that carries embedded spatial and directional characteristics. By analyzing the channel state information that naturally encodes propagation path details, the system can accurately determine direction and position without requiring complex antenna arrays or multiple sensors, thus reducing device complexity.
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
Enables quick and precise estimation of an organism's posture, including three-dimensional positions, without the need for long observation times or extensive installations, effectively detecting posture changes and vital signs.
Implementation Method 1
Each of the N transmit antenna elements transmits a transmit signal to a predetermined range within which an organism is likely to exist. Each of the M receive antenna elements receives N receive signals including reflection signals generated as a result of some of the N transmit signals transmitted from the N transmit antenna elements being reflected by the organism.
Implementation Method 2
The circuitry calculates an N×M first matrix having complex-number transfer function components, each of the complex-number transfer function components representing propagation characteristics between a transmit antenna element and a receive antenna element
Implementation Method 3
The circuitry extracts a second matrix corresponding to a predetermined frequency range from the first matrix. The second matrix represents components influenced by a vital sign including at least one of respiration, pulse, and motion of the organism.
Data Source
AI summary
A sensor includes circuitry and a memory, wherein the circuitry acquires an N×M first matrix having complex-number transfer function components representing propagation characteristics between a transmit antenna element and a receive antenna element, from N receive signals received by each of M receive antenna elements for a predetermined period. The circuitry extracts a second matrix, corresponding to a predetermined frequency range from the first matrix, representing components influenced by a vital sign, and estimates a position of the organism with respect to the sensor by using the second matrix. The circuitry also calculates a first distance, indicating a distance between the organism and the transmit antenna, and a second distance, indicating a distance between the organism and the receive antenna. The circuitry further calculates a radar cross-section value with respect to the organism, and estimates a posture of the organism.