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一种基于数字锁相滤波的用于声学测距和温度测量的飞行时间估计方法。

A Time-of-Flight Estimation Method for Acoustic Ranging and Thermometry Based on Digital Lock-In Filtering.

作者信息

Liu Qi, Zhou Bin, Zhang Jianyong, Cheng Ruixue, Zhao Xuhao, Zhao Rong, Dai Minglu, Wang Bubin, Wang Yihong

机构信息

School of Energy and Environment, Southeast University, Nanjing 210096, China.

School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK.

出版信息

Sensors (Basel). 2022 Jul 24;22(15):5519. doi: 10.3390/s22155519.

DOI:10.3390/s22155519
PMID:35898022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9330125/
Abstract

Accurate ranging and real-time temperature monitoring are essential for metrology and safety in electrical conduit applications. This paper proposes an acoustic time-of-flight (TOF) estimation method based on the digital lock-in filtering (DLF) technique for conduit ranging and thermometry. The method establishes the relationship between the frequency and the time domain by applying a linear frequency modulated Chirp signal as the sound source and using the DLF technique to extract the first harmonic of the characteristic frequencies of the transmitted and received signals. Acoustic TOF estimation in the conduit is then achieved by calculating the mathematical expectation of the time difference between each characteristic frequency in the time-frequency relationship of the two signals. The experimental results with enhanced noise interference on different conduit lengths and various temperature conditions, proved that the proposed DLF method can establish a robust linear time-frequency relationship according to the characteristics of the Chirp signal, and the measurement accuracy of TOF has also been confirmed. Compared to the conventional method, the DLF method provides the lowest absolute error and standard deviation for both distance and temperature measurements with an enhanced robustness.

摘要

精确测距和实时温度监测对于电气导管应用中的计量和安全至关重要。本文提出了一种基于数字锁相滤波(DLF)技术的声学飞行时间(TOF)估计方法,用于导管测距和温度测量。该方法通过应用线性调频Chirp信号作为声源,并使用DLF技术提取发射和接收信号特征频率的基波,建立了频率与时间域之间的关系。然后,通过计算两个信号时频关系中每个特征频率之间的时间差的数学期望,实现了导管中的声学TOF估计。在不同导管长度和各种温度条件下增强噪声干扰的实验结果表明,所提出的DLF方法能够根据Chirp信号的特性建立稳健的线性时频关系,并且TOF的测量精度也得到了证实。与传统方法相比,DLF方法在距离和温度测量方面提供了最低的绝对误差和标准偏差,并且具有更高的鲁棒性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/f694db167a11/sensors-22-05519-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/38e2418e395a/sensors-22-05519-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/c9d537f1761b/sensors-22-05519-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/73c5d7b318c4/sensors-22-05519-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/2c848fffe413/sensors-22-05519-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/53500bf658f3/sensors-22-05519-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/15e3488f3213/sensors-22-05519-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/53c259a2fc3c/sensors-22-05519-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/3f1377e2a49b/sensors-22-05519-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/f19fece5d688/sensors-22-05519-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/f694db167a11/sensors-22-05519-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/38e2418e395a/sensors-22-05519-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/c9d537f1761b/sensors-22-05519-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/73c5d7b318c4/sensors-22-05519-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/2c848fffe413/sensors-22-05519-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/53500bf658f3/sensors-22-05519-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/15e3488f3213/sensors-22-05519-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/53c259a2fc3c/sensors-22-05519-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/3f1377e2a49b/sensors-22-05519-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/f19fece5d688/sensors-22-05519-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0415/9330125/f694db167a11/sensors-22-05519-g010.jpg

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