FMCW Bio-Signal Windowing for Stable Fine Movement Detection
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Solution Overview
Problem
Conventional FMCW systems face instability and poor performance in detecting fine movement information due to discontinuous distortion in the phase of the detected bio-signals, particularly when detecting bio-signals from living organisms like humans or animals with minute movements.
Innovation Solution
A linearly continuous phased windowing method is applied in the FFT preprocessing process of the FMCW system, involving phase detection and exchange of window values to improve signal continuity and stability, using techniques like FFT, IFFT, and complex signal manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional windowing is applied in FMCW system, then position detection performance is improved, but phase continuity is degraded causing unstable fine movement detection
Solution Approach 1:
The patent applies parameter changes by transforming the windowing function from the time domain to the frequency domain through FFT, modifying the phase characteristics of the windowed signal. This frequency-domain parameter transformation resolves the contradiction by maintaining position detection accuracy while ensuring phase continuity, as the transformed window function preserves phase information needed for fine movement detection.
Solution Approach 2:
The patent replaces the conventional time-domain windowing mechanism with a frequency-domain windowing approach using FFT and IFFT operations. This substitution eliminates the phase discontinuities caused by conventional windowing while maintaining the ability to suppress sidelobes, thereby improving both position detection and phase continuity simultaneously.
2Object-affected harmful factors
If conventional windowing is used, then sidelobe reduction is achieved, but fine movement detection stability deteriorates
Solution Approach 1:
The patent substitutes conventional time-domain windowing with frequency-domain windowing using FFT-based processing. This replacement maintains the sidelobe suppression capability while eliminating phase discontinuities that destabilize fine movement detection, thereby improving detection reliability without sacrificing sidelobe reduction.
Solution Approach 2:
By transforming the windowing operation to the frequency domain and applying parameter transformations through FFT/IFFT, the patent achieves a dual benefit: maintaining low sidelobe levels for position accuracy while ensuring phase continuity for stable fine movement detection of bio-signals.
Data Source
AI summary
Provided is a linearly continuous phased windowing method in an FMCW system for detection of bio-signals, which improves the performance and stability of detecting fine movement information of a target by applying a linear and highly continuous phased windowing method to an FFT preprocessing process in the FMCW system for detection of bio-signals. The present disclosure has an advantage of high detection performance and stability of a fine movement of a target in an FMCW system for detection of bio-signals.