Title :
Optimizing acoustic Doppler current profiler settings for noise reduction
Author :
Hendricks, Peter J.
Author_Institution :
Naval Undersea Warfare Center Div., Newport, RI, USA
Abstract :
The performance of a 600-kHz broadband Acoustic Doppler Current Profiler (ADCP) developed by RD Instruments (RDI) is evaluated to determine the optimum settings for minimizing random noise associated with the inherent single-ping uncertainty in the instrument. The parameters considered are bin size, maximum range, and the resultant sample rate, which is the maximum rate that the instrument is capable of for a given combination of bin size and range. The instrument´s firmware determines the maximum sample rate as a function of range to allow round-trip travel time for the acoustic pulse between pings. The RDI noise model predicts an rms noise velocity that is inversely proportional to the bin size and to the square root of the sample rate for a fixed averaging time period. Data from a set of measurements recorded with an instrument on the research vessel (R/V) Knorr, as the ship was drifting west of Scotland, are consistent with the RDI model. Analysis of these data suggests that there is an optimum number of bins (N ∼ 10) that minimizes the noise level for a specified range requirement while maximum vertical resolution is retained. Ensemble averaging by the instrument does not appear to have a clear benefit over recording single-ping data, although it does reduce the quantity of raw data.
Keywords :
Doppler measurement; acoustic equipment; acoustic pulses; oceanographic equipment; oceanographic techniques; random noise; signal sampling; underwater sound; 600 kHz; AD 2002 07; Acoustic Doppler Current Profiler; RDI noise model; Scotland west; acoustic pulse; bin size; ensemble averaging; instrument firmware; maximum vertical resolution; noise reduction; random noise association; research vessel Knorr; rms noise velocity; round trip travel time; ship drifting; signal sampling; single-ping data recording; single-ping uncertainty; Acoustic measurements; Acoustic noise; Acoustic pulses; Data analysis; Instruments; Marine vehicles; Microprogramming; Noise reduction; Predictive models; Uncertainty;
Conference_Titel :
Current Measurement Technology, 2003. Proceedings of the IEEE/OES Seventh Working Conference on
Print_ISBN :
0-7803-7813-X
DOI :
10.1109/CCM.2003.1194314