Moving Object Detector Using Channel Impulse Response Phase
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Solution Overview
Problem
Current sensor technologies for detecting moving objects and vital signs require complex frequency domain transformations, leading to high power consumption and memory requirements, which are inefficient for real-time detection.
Innovation Solution
A moving object detector system that processes channel impulse responses (CIRs) in the time domain, using a phase signal generated from RF pulses to compare with a target signal, allowing for low power consumption and low memory requirements by avoiding frequency domain transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency domain transformations (FFT) are used to process channel impulse responses for moving object detection, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent extracts only the necessary information (phase values at specific time positions) from the channel impulse responses without performing complete frequency domain transformations. By taking out only the relevant phase information at tapped delay elements, the system achieves detection capability with reduced computational complexity.
Solution Approach 2:
Instead of performing full FFT transformations on entire frames, the patent applies partial processing by evaluating phase values at selected time positions only. This partial action approach provides sufficient detection precision for moving objects while avoiding the excessive computational burden of complete frequency domain analysis.
2Measurement precision
If frequency domain transformations are applied to channel impulse responses, then detection accuracy is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the essential phase information from channel impulse responses at specific time positions rather than performing energy-intensive complete frequency domain transformations. This extraction approach maintains detection accuracy for moving objects while significantly reducing power consumption.
Solution Approach 2:
The patent uses simple phase value comparisons at tapped delay elements instead of complex computational operations. This approach employs computationally inexpensive operations that can be performed rapidly with minimal power consumption, effectively using simple, disposable computational steps rather than expensive sustained processing.
3Measurement precision
If complete channel impulse response processing is performed, then measurement precision is improved, but memory requirements increase
Solution Approach 1:
The patent extracts only the necessary phase values at specific time positions from channel impulse responses, storing and processing only this essential information. This extraction eliminates the need to retain complete impulse response data in memory, significantly reducing memory requirements while maintaining measurement precision.
Solution Approach 2:
The patent performs partial processing by focusing only on relevant time positions within the impulse response rather than analyzing the entire response. This partial approach requires storing and processing only a subset of the data, reducing memory requirements while providing sufficient measurement precision for the detection application.
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 efficient detection of moving objects and vital signs with reduced power and memory usage, facilitating applications such as vehicle trunk opening and occupant health monitoring.
Implementation Method 1
This same sensor technology also exploits Doppler effect to provide motion information that enables sensing a leg kick at a rear bumper of a vehicle
Data Source
AI summary
A moving object detector detects a moving object in a channel. The detection comprises the detector receiving a plurality of frames based on a transmitter transmitting a plurality of frames over a channel. One or more channel impulse responses (CIRs) of the channel is determined based on the received plurality of frames. The detector determines a CIR phase for each of the CIRs and a phase signal is formed based on a phase value of the CIR phase for each of the CIRs. The detector compares the phase signal with a target signal and detects the moving object in the channel based on the comparison.