Shallow Water Surveying Using Experimental Interferometric Synthetic Aperture Sonar

2009 ◽  
Vol 43 (1) ◽  
pp. 50-63 ◽  
Author(s):  
Sérgio Rui Silva ◽  
Sérgio Cunha ◽  
Aníbal Matos ◽  
Nuno Cruz

AbstractThis paper describes an interferometric synthetic aperture sonar system based on an unmanned surface vehicle customized for shallow water environments. Synthetic aperture sonar enables imagery of high resolution that is independent of range by using the displacement of the sonar platform to create a large virtual array. If two geometrically displaced images are obtained, the construction of three-dimensional topographic maps is possible through the use of interferometric techniques. The use of an unmanned surface vehicle presents several advantages that alleviate some problems related to the formation of synthetic aperture images, which are mainly related to the fact that a precise navigation system can be used for the boat control and sonar imagery motion compensation. Also, a small unmanned surface vehicle is advantageous in terms of cost of operation, maintenance and ease of deployment. Mapping of shallow water areas is an important task for many commercial and scientific applications like river navigability, infrastructure maintenance and natural resource monitoring. These tasks can be done efficiently with this system. Sample data obtained during test trials illustrate how synthetic aperture can be used to generate underwater imagery and bathymetric data.

2019 ◽  
Author(s):  
Thomas E. Blanford ◽  
John D. McKay ◽  
Daniel C. Brown ◽  
Joonho D. Park ◽  
Shawn F. Johnson

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5052
Author(s):  
Tan ◽  
Zhang ◽  
Yang ◽  
Sun

In this paper, we introduce a novel sub-bottom profiler, making good use of the Mills cross configuration of multibeam sonar and synthetic aperture techniques of the synthetic aperture sonar system. The receiver array is mounted along the ship keel, while the transmitter array is mounted perpendicular to the receiver array. With the synthetic aperture technique, the along-track resolution can be greatly improved. The system often suffers from motion error, which severely degrades the imaging performance. To solve this problem, the imaging algorithm with motion compensation (MC) is proposed. With the presented method, the motion error is first estimated based on overlapped elements between successive pulses. Then, the echo data is processed by using the range migration algorithm based on the phase center approximation (PCA) method, which simultaneously performs the MC with the estimated motion error. In order to validate the proposed sub-bottom profiler and data processing method, some simulations and lake trial results are discussed. The processing results of the real data further indicate that the presented configuration has great potential to find buried objects in seabed sediments.


2021 ◽  
Vol 4 (1) ◽  
pp. 61-66
Author(s):  
Oh-Rum Cha ◽  
Seung-Soo Park ◽  
Jong-Gwon Choi ◽  
Young-Seok Oh

Author(s):  
Sergio Rui Silva ◽  
Sergio Cunha ◽  
Anibal Matos ◽  
Nuno Cruz

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