Wave Motion Signal Processing Device Peak Tracking Method
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wave motion signal processing methods face challenges in reducing computational load for tracking peaks in wave motion signals, particularly when dealing with mixed wireless signals and limited data spectra, leading to inefficiencies in detecting and tracking signal characteristics.
Innovation Solution
A wave motion signal processing device that generates high-resolution and low-resolution spectra from input signals, extracts peaks from the low-resolution spectrum, and tracks corresponding peaks in the high-resolution spectrum to generate time-series peak waveforms, thereby alleviating processing load while maintaining frequency estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution spectrum analysis is performed to accurately detect peak waveforms, then frequency estimation accuracy is improved, but computational load increases
Solution Approach 1:
The spectrum analysis process is divided into two stages: first, low-resolution spectrum analysis is performed to identify candidate peaks; second, high-resolution spectrum analysis is applied only to the identified peak regions. This segmentation allows the system to maintain frequency estimation accuracy while significantly reducing the overall computational load by limiting high-resolution processing to small portions of the spectrum.
Solution Approach 2:
Instead of performing high-resolution spectrum analysis across the entire frequency range, the system applies high-resolution analysis only partially to specific frequency regions where peaks are detected in the low-resolution spectrum. This partial action approach maintains measurement precision for critical regions while avoiding the excessive computational burden of full-spectrum high-resolution analysis.
2Measurement precision
If many frequency frames are analyzed to enhance resolution for trajectory estimation, then measurement precision is improved, but computational load increases
Solution Approach 1:
The frequency frames are processed in a two-stage manner: low-resolution analysis is performed on all frames to identify peak candidates, followed by high-resolution analysis only on frames containing identified peaks. This segmentation enables enhanced trajectory estimation resolution while reducing computational load by avoiding redundant high-resolution processing in non-peak regions.
3Measurement precision
If peak tracking is performed on all detected peaks, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The system extracts only the essential peak information from the low-resolution spectrum and uses this extracted data to guide high-resolution peak tracking. By taking out only the necessary peak candidates for tracking rather than processing all detected peaks, the system maintains detection accuracy while significantly reducing processing time.
Solution Approach 2:
Low-resolution spectrum analysis is performed as a preliminary action to identify peak candidates before conducting time-consuming high-resolution peak tracking. This preliminary filtering step ensures that subsequent detailed tracking is applied only to relevant peaks, maintaining detection accuracy while minimizing overall processing time.
Data Source
AI summary
A wave motion signal processing device that includes a spectrum generation unit that generates a first spectrum with high resolution and a second spectrum with low resolution based on an input signal derived from a wave motion detected by at least one sensor, an extraction unit that extracts, from the second spectrum, a first peak satisfying an extraction condition in a target time window, a tracking unit that tracks, in the first spectrum, a second peak satisfying the extraction condition with regard to a time frame following the target time frame from which the first peak is extracted, and a waveform generation unit that generates a peak waveform, which is time-series data of a frequency including a plurality of second peaks, having the first peak as a starting end.


