Field Verification of the Pinnacle ADCP

Mullison, J.

doi:10.23919/oceans40490.2019.8962529

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is an efficient method to analyze and verify the estimation performance of ADCP through laboratory calibration system, which can simulate a variety of different measurement application environments in a short time [ 22 ]. At the same time, analyzing the estimation performance and error sources of ADCP through field comparison is also an important performance research method, especially for those new principle-based instruments [ 23 ]. Reference [ 24 ] uses fractional Fourier transform to separate the component of strong scatterers from ADCP echo, which improves the accuracy and stability of water velocity estimation.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Yang

Fang

2021

Sensors

View full text Add to dashboard Cite

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%.

show abstract

Section: Introductionmentioning

confidence: 99%