Improved Velocity Estimation Method for Doppler Sonar Based on Accuracy Evaluation and Selection

The matched filtering method and the waveform-tracking method cannot maintain optimal velocity estimation performance all of the time. In order to solve this problem, this paper proposes an improved velocity estimation method for Doppler sonar, based on accuracy evaluation and selection. The echo of...

Full description

Bibliographic Details
Main Authors: Yongshou Yang, Shiliang Fang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/6/576
_version_ 1827691491920707584
author Yongshou Yang
Shiliang Fang
author_facet Yongshou Yang
Shiliang Fang
author_sort Yongshou Yang
collection DOAJ
description The matched filtering method and the waveform-tracking method cannot maintain optimal velocity estimation performance all of the time. In order to solve this problem, this paper proposes an improved velocity estimation method for Doppler sonar, based on accuracy evaluation and selection. The echo of Doppler sonar is divided into several segments with the same width as the transmitted pulse, and each segment is regarded as the echo of the corresponding water layer. According to our study’s results, the velocity estimation accuracy of each segment is positively correlated with the ratio of its autocorrelation modulus to its power. Based on this conclusion, a velocity accuracy criterion with high accuracy and low complexity is designed in order to select the optimal velocity estimation for water layers or bottoms. The proposed accuracy selection method flexibly selects the echo interval to be processed according to the accuracy criterion, so as to maintain the optimal estimation of the current’s or bottom’s velocity. Water tank and field experiments using a prototype Doppler sonar device demonstrates that, compared with the matched filtering method and the waveform-tracking method, the average velocity estimation accuracy and bias of the proposed method are superior.
first_indexed 2024-03-10T11:01:33Z
format Article
id doaj.art-7b7a92b8aafc458b98324a863020af38
institution Directory Open Access Journal
issn 2077-1312
language English
last_indexed 2024-03-10T11:01:33Z
publishDate 2021-05-01
publisher MDPI AG
record_format Article
series Journal of Marine Science and Engineering
spelling doaj.art-7b7a92b8aafc458b98324a863020af382023-11-21T21:26:38ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-05-019657610.3390/jmse9060576Improved Velocity Estimation Method for Doppler Sonar Based on Accuracy Evaluation and SelectionYongshou Yang0Shiliang Fang1Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing 210096, ChinaKey Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing 210096, ChinaThe matched filtering method and the waveform-tracking method cannot maintain optimal velocity estimation performance all of the time. In order to solve this problem, this paper proposes an improved velocity estimation method for Doppler sonar, based on accuracy evaluation and selection. The echo of Doppler sonar is divided into several segments with the same width as the transmitted pulse, and each segment is regarded as the echo of the corresponding water layer. According to our study’s results, the velocity estimation accuracy of each segment is positively correlated with the ratio of its autocorrelation modulus to its power. Based on this conclusion, a velocity accuracy criterion with high accuracy and low complexity is designed in order to select the optimal velocity estimation for water layers or bottoms. The proposed accuracy selection method flexibly selects the echo interval to be processed according to the accuracy criterion, so as to maintain the optimal estimation of the current’s or bottom’s velocity. Water tank and field experiments using a prototype Doppler sonar device demonstrates that, compared with the matched filtering method and the waveform-tracking method, the average velocity estimation accuracy and bias of the proposed method are superior.https://www.mdpi.com/2077-1312/9/6/576velocity estimationaccuracy estimationaccuracy criterionDoppler shiftDoppler sonar
spellingShingle Yongshou Yang
Shiliang Fang
Improved Velocity Estimation Method for Doppler Sonar Based on Accuracy Evaluation and Selection
Journal of Marine Science and Engineering
velocity estimation
accuracy estimation
accuracy criterion
Doppler shift
Doppler sonar
title Improved Velocity Estimation Method for Doppler Sonar Based on Accuracy Evaluation and Selection
title_full Improved Velocity Estimation Method for Doppler Sonar Based on Accuracy Evaluation and Selection
title_fullStr Improved Velocity Estimation Method for Doppler Sonar Based on Accuracy Evaluation and Selection
title_full_unstemmed Improved Velocity Estimation Method for Doppler Sonar Based on Accuracy Evaluation and Selection
title_short Improved Velocity Estimation Method for Doppler Sonar Based on Accuracy Evaluation and Selection
title_sort improved velocity estimation method for doppler sonar based on accuracy evaluation and selection
topic velocity estimation
accuracy estimation
accuracy criterion
Doppler shift
Doppler sonar
url https://www.mdpi.com/2077-1312/9/6/576
work_keys_str_mv AT yongshouyang improvedvelocityestimationmethodfordopplersonarbasedonaccuracyevaluationandselection
AT shiliangfang improvedvelocityestimationmethodfordopplersonarbasedonaccuracyevaluationandselection