Travel-time approximation of acoustic ranging in GPS/Acoustic seafloor geodesy

2014 ◽  
Vol 84 ◽  
pp. 133-144 ◽  
Author(s):  
Hsin-Hung Chen
Keyword(s):  
Travel Time ◽  
Time Approximation ◽  
Seafloor Geodesy ◽  
Acoustic Ranging

scholarly journals Application of Phase-Only Correlation to Travel-Time Determination in GNSS-Acoustic Positioning

2021 ◽  
Vol 9 ◽  
Author(s):  
Chie Honsho ◽  
Motoyuki Kido ◽  
Toshihito Ichikawa ◽  
Toru Ohashi ◽  
Taichi Kawakami ◽  
...  
Keyword(s):  
Travel Time ◽  
Template Matching ◽  
Cross Correlation ◽  
Incident Angle ◽  
Reference Signal ◽  
Phase Changes ◽  
Main Peak ◽  
Auto Correlation ◽  
Acoustic Ranging ◽  
Short Period

The GNSS-acoustic technique is a geodetic method for oceanic areas that combines GNSS positioning of a sea-surface platform and acoustic ranging of seafloor stations. Its positioning accuracy is typically a few and several centimeters for the horizontal and vertical positions, respectively. For further accuracy enhancement, we examined the errors in travel time, the most fundamental data in acoustic ranging. The reference signal used in our observations is a series of sinusoidal waves modulated by binary phase-shift keying with a maximal length sequence whose auto-correlation has a clear main peak at zero lag. However, cross-correlation between the actual returned signal and reference signal is often accompanied by many large sidelobes and looks very different from the synthetic auto-correlation. As a practical measure, we have chosen empirically one peak among several comparable peaks in the cross-correlation, though that is likely to lead to systematic errors in travel time. In this study, we revealed that a variety of cross-correlation waveform primarily depends on the incident angle of acoustic paths and that sidelobes were significantly reduced by substituting phase-only correlation (POC) for conventional cross-correlation. We therefore developed a template-matching technique using POC for the peak detection. POC templates were prepared by stacking actual POCs with certain ranges of the incident angle for each campaign. In the application of this method to actual data, we achieved successful results of our numerous campaign data to date. We consider that POC is advantageous in identifying the main peak uniquely and performing template matching more robustly, because POC enhances short-period components and thus highlights the timing of phase changes further than conventional cross-correlation.

Optimal travel time approximation: Application to real data

2003 ◽  
Author(s):  
A. K. Nguyen ◽  
M. Alerini ◽  
E. Causse
Keyword(s):  
Travel Time ◽  
Real Data ◽  
Time Approximation
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