Enhancing the Accuracy of Current Profiles from Surface Buoy-Mounted Systems

Velasco, David W.; Wilson, W. Douglas; Nylund, Sven; Heitsenrether, Robert

doi:10.1109/oceanskobe.2018.8559481

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…Equation (19) shows that the cost function and the number of repeats are non-linear. In addition, when N is fixed, the larger Δz, the higher the accuracy of velocity estimation, so Δz takes the maximum allowable layer thickness Δzm.…”

Section: Velocity Estimation Accuracy Priority (Veap) Waveform Optimization Methodsmentioning

confidence: 99%

“…By substituting Equation ( 17) into ( 16), the cost function σ v is transformed into a single variable function: (18) Equation (19) shows that the cost function and the number of repeats are non-linear. In addition, when N is fixed, the larger ∆z, the higher the accuracy of velocity estimation, so ∆z takes the maximum allowable layer thickness ∆z m .…”

Section: Velocity Estimation Accuracy Priority (Veap) Waveform Optimization Methodsmentioning

confidence: 99%

“…ADCP is usually installed on a moving carrier to complete the measurement. References [ 19 , 20 ] proposed a method to improve the velocity estimation accuracy by compensating the carrier motion. The bias error in moving-carrier ADCP current measurement can be separated into two classes: calibration error and application error; the major sources of calibration error and the influence of parameters on the discharge uncertainty were analyzed in Reference [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Yang

Fang

2021

Sensors

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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%.

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Section: Velocity Estimation Accuracy Priority (Veap) Waveform Optimization Methodsmentioning

confidence: 99%

Section: Velocity Estimation Accuracy Priority (Veap) Waveform Optimization Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Yang

Fang

2021

Sensors

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“…Doppler sonar is usually installed on a moving boat for measurement. The authors of [20,21] proposed a method to improve velocity estimation accuracy by compensating for the boat's motion. Fractional Fourier transform was used to separate the component of strong scatterers from the Doppler sonar echo, and to improve the accuracy and stability of water velocity estimation [22].…”

Section: Introductionmentioning

confidence: 99%

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

Yang

Fang

2021

JMSE

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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.

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“…However, previous work has shown that surface buoy-mounted ADCP current profile data can be negatively impacted by buoy motion in some dynamic, coastal environments. Between 2014 and 2018, a series of three field experiments were conducted to evaluate the performance of acoustic Doppler current profilers installed on small, dynamic surface buoy platforms (< 2 m diameter) at nearshore sites [1][2][3][4][5]. Results and conclusions from each experiment have led to successive modifications to the sensors employed, in an attempt to improve data quality for the system.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Performance of Acoustic Current Profiler Sensor on Small, Dynamic Surface Buoy

Heitsenrether

Fiorentino

Velasco

et al. 2018

OCEANS 2018 MTS/IEEE Charleston

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A sea surface following buoy equipped with a wave sensor and acoustic Doppler current profiler (ADCP) may be a useful system design option for many different coastal ocean measurement applications. However, previous work has shown that surface buoy-mounted ADCP current profile data can be negatively impacted by buoy motion in dynamic coastal environments. Between 2014 and 2018, a series of three field experiments were conducted at a site in the south Chesapeake Bay to evaluate the performance of acoustic Doppler current profilers installed on small, dynamic surface buoy platforms (< 2 m). The focus of this paper is on results from the third, most recent field experiment conducted during December 2017 -January 2018. This third experiment evaluates potential improvements offered by a new Acoustic Doppler Current Profiler (ADCP) with an integrated Attitude and Heading Reference Sensor (AHRS) and a real-time motion compensation capability. The improved ADCP with ARHS was installed on a small surface buoy in a downward looking configuration. The test buoy system was deployed at the Chesapeake Bay field site alongside a second, nearby ADCP system in a bottom mount serving as a stable reference. Results comparing current profile measurements from buoy and bottom mount sensors indicate significant improvement in the buoy mounted ADCPs performance as compared to the previous two field tests. A summary of the new ADCP instrument employed, measurement methods, field observations, and initial performance evaluation will be presented, along with plans for continuing system development and testing.

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Enhancing the Accuracy of Current Profiles from Surface Buoy-Mounted Systems

Cited by 7 publications

References 16 publications

Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

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

Evaluating Performance of Acoustic Current Profiler Sensor on Small, Dynamic Surface Buoy

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