Ultrasound Echo Frequency Conversion for Faster High-Resolution Sensing
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Solution Overview
Problem
Existing signal processing methods for ultrasound echoes require high frequency resolution, leading to large data processing volumes, long processing times, and significant time delays due to the need for Fourier transforms on long accumulation lengths of echo signal data.
Innovation Solution
Convert the echo signal from a high frequency to a low frequency by multiplying it with a cosine wave, reducing the data processing amount and time consumption by filtering out unnecessary signals and performing Fourier transforms on a reduced number of sampling points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a longer sampling data accumulation length is performed on the echo signal to achieve higher frequency resolution, then the frequency resolution is improved, but the data processing volume increases and processing time increases
Solution Approach 1:
The patent applies parameter changes by transforming the echo signal from high frequency to low frequency through multiplication with a cosine wave. This frequency transformation allows the system to maintain high frequency resolution while reducing the data processing volume and processing time, as the lower frequency signal requires fewer sampling points for the same resolution requirement.
Solution Approach 2:
The patent performs preliminary action by converting the echo signal to a lower frequency before performing the Fourier transform. This preliminary frequency transformation reduces the amount of data that needs to be processed in subsequent steps, thereby reducing processing time and computational burden while maintaining the required frequency resolution.
2Measurement precision
If a longer sampling data accumulation length is performed on the echo signal to achieve higher frequency resolution, then the frequency resolution is improved, but the processing time delay increases
Solution Approach 1:
The patent uses parameter changes by lowering the frequency of the echo signal through multiplication with a cosine wave. This frequency transformation reduces the number of sampling points required for the Fourier transform, thereby reducing the processing time delay while maintaining the necessary frequency resolution for accurate object position measurement.
Solution Approach 2:
The patent performs preliminary frequency transformation of the echo signal before the Fourier transform step. This preliminary action reduces the data accumulation length required for processing, thereby reducing the time delay associated with processing long sequences of echo signal data.
3Measurement precision
If a longer sampling data accumulation length is performed on the echo signal to achieve higher frequency resolution, then the frequency resolution is improved, but the data processing volume increases
Solution Approach 1:
The patent applies parameter changes by transforming the echo signal to a lower frequency range. This frequency transformation reduces the number of sampling points and the corresponding data processing volume required to achieve the same frequency resolution, as lower frequency signals require fewer data points for accurate spectral analysis.
Solution Approach 2:
The patent performs preliminary frequency transformation of the echo signal before performing the Fourier transform. This preliminary action reduces the quantity of data that needs to be processed, as the lower frequency signal can be analyzed with fewer sampling points while maintaining the required frequency resolution.
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
Achieves higher frequency resolution with reduced data processing and time consumption by converting echo signals to lower frequencies, ensuring efficient signal analysis and processing without signal loss.
Implementation Method 1
converting the echo signal of the first frequency into an echo signal of a second frequency... The first frequency belongs to a first range, the second frequency belongs to a second range, and a minimum value of the first range is greater than a maximum value of the second range
Data Source
AI summary
A signal processing method includes emitting a target sound wave of a first frequency, sampling based on a target frequency to obtain a target point number of sampling points, converting the echo signal of the first frequency to an echo signal of a second frequency, and determining a target parameter of the object based on the echo signal of the second frequency. The target point number of sampling points are used to restore an echo signal generated when the target sound wave of the first frequency encounters an object. The first frequency belongs to a first range, the second frequency belongs to a second range, and a minimum value of the first range is greater than a maximum value of the second range. The target parameter is related to a position of the object.