Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints
Broadband acoustic Doppler current profiler (ADCP) is widely used in agricultural water resource explorations, such as river discharge monitoring and flood warning. Improving the velocity estimation accuracy of broadband ADCP by adjusting the waveform parameters of a phase-encoded signal will reduce...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/11/3768 |
| _version_ | 1827691173966249984 |
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| author | Yongshou Yang Shiliang Fang |
| author_facet | Yongshou Yang Shiliang Fang |
| author_sort | Yongshou Yang |
| collection | DOAJ |
| description | Broadband acoustic Doppler current profiler (ADCP) is widely used in agricultural water resource explorations, such as river discharge monitoring and flood warning. Improving the velocity estimation accuracy of broadband ADCP by adjusting the waveform parameters of a phase-encoded signal will reduce the velocity measurement range and water stratification accuracy, while the promotion of stratification accuracy will degrade the velocity estimation accuracy. In order to minimize the impact of these two problems on the measurement results, the ADCP waveform optimization problem that satisfies the environment constraints while keeping high velocity estimation accuracy or stratification accuracy is studied. Firstly, the relationship between velocity or distance estimation accuracy and signal waveform parameters is studied by using an ambiguity function. Secondly, the constraints of current velocity range, velocity distribution and other environmental characteristics on the waveform parameters are studied. For two common measurement applications, two dynamic configuration methods of waveform parameters with environmental adaptability and optimal velocity estimation accuracy or stratification accuracy are proposed based on the nonlinear programming principle. Experimental results show that compared with the existing methods, the velocity estimation accuracy of the proposed method is improved by more than 50%, and the stratification accuracy is improved by more than 22%. |
| first_indexed | 2024-03-10T10:56:08Z |
| format | Article |
| id | doaj.art-f90565ef838a47ab8b4480b923a675c1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:56:08Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f90565ef838a47ab8b4480b923a675c12023-11-21T21:55:32ZengMDPI AGSensors1424-82202021-05-012111376810.3390/s21113768Dynamic Optimization Method for Broadband ADCP Waveform with Environment ConstraintsYongshou 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, ChinaBroadband acoustic Doppler current profiler (ADCP) is widely used in agricultural water resource explorations, such as river discharge monitoring and flood warning. Improving the velocity estimation accuracy of broadband ADCP by adjusting the waveform parameters of a phase-encoded signal will reduce the velocity measurement range and water stratification accuracy, while the promotion of stratification accuracy will degrade the velocity estimation accuracy. In order to minimize the impact of these two problems on the measurement results, the ADCP waveform optimization problem that satisfies the environment constraints while keeping high velocity estimation accuracy or stratification accuracy is studied. Firstly, the relationship between velocity or distance estimation accuracy and signal waveform parameters is studied by using an ambiguity function. Secondly, the constraints of current velocity range, velocity distribution and other environmental characteristics on the waveform parameters are studied. For two common measurement applications, two dynamic configuration methods of waveform parameters with environmental adaptability and optimal velocity estimation accuracy or stratification accuracy are proposed based on the nonlinear programming principle. Experimental results show that compared with the existing methods, the velocity estimation accuracy of the proposed method is improved by more than 50%, and the stratification accuracy is improved by more than 22%.https://www.mdpi.com/1424-8220/21/11/3768waveform optimizationphase encodingambiguity functionnonlinear programmingADCP |
| spellingShingle | Yongshou Yang Shiliang Fang Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints Sensors waveform optimization phase encoding ambiguity function nonlinear programming ADCP |
| title | Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints |
| title_full | Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints |
| title_fullStr | Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints |
| title_full_unstemmed | Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints |
| title_short | Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints |
| title_sort | dynamic optimization method for broadband adcp waveform with environment constraints |
| topic | waveform optimization phase encoding ambiguity function nonlinear programming ADCP |
| url | https://www.mdpi.com/1424-8220/21/11/3768 |
| work_keys_str_mv | AT yongshouyang dynamicoptimizationmethodforbroadbandadcpwaveformwithenvironmentconstraints AT shiliangfang dynamicoptimizationmethodforbroadbandadcpwaveformwithenvironmentconstraints |