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...
Main Authors: | , |
---|---|
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 |