Method of Extracting Real-time Bathymetry Information of Towed Interferometric Synthetic Aperture Sonar System

2021 ◽  
Vol 4 (1) ◽  
pp. 61-66
Author(s):  
Oh-Rum Cha ◽  
Seung-Soo Park ◽  
Jong-Gwon Choi ◽  
Young-Seok Oh
Keyword(s):  
Real Time ◽  
Synthetic Aperture ◽  
Synthetic Aperture Sonar ◽  
Sonar System

scholarly journals Development of an in-air circular synthetic aperture sonar system as an educational tool

2019 ◽  
Author(s):  
Thomas E. Blanford ◽  
John D. McKay ◽  
Daniel C. Brown ◽  
Joonho D. Park ◽  
Shawn F. Johnson
Keyword(s):  
Synthetic Aperture ◽  
Educational Tool ◽  
Synthetic Aperture Sonar ◽  
Sonar System

scholarly journals A Novel Sub-Bottom Profiler and Signal Processor

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5052
Author(s):  
Tan ◽  
Zhang ◽  
Yang ◽  
Sun
Keyword(s):  
Real Data ◽  
Synthetic Aperture ◽  
Motion Error ◽  
Buried Objects ◽  
Synthetic Aperture Sonar ◽  
Receiver Array ◽  
Sonar System ◽  
Data Processing Method ◽  
Imaging Performance ◽  
Along Track

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.

Real-time synthetic aperture sonar processing system

1996 ◽  
Vol 143 (3) ◽  
pp. 169 ◽  
Author(s):  
A.E. Adams ◽  
M.A. Lawlor ◽  
V.S. Riyait ◽  
O.R. Hinton ◽  
B.S. Sharif
Keyword(s):  
Real Time ◽  
Processing System ◽  
Synthetic Aperture ◽  
Synthetic Aperture Sonar

Real-time synthetic aperture sonar imaging using a parallel architecture

1995 ◽  
Vol 4 (7) ◽  
pp. 1010-1019 ◽  
Author(s):  
V.S. Riyait ◽  
M.A. Lawlor ◽  
A.E. Adams ◽  
O. Hinton ◽  
B. Sharif
Keyword(s):  
Real Time ◽  
Parallel Architecture ◽  
Synthetic Aperture ◽  
Synthetic Aperture Sonar ◽  
Sonar Imaging

Shadow Detecting and Shadow Interpolation Algorithm for InSAS

2012 ◽  
Vol 605-607 ◽  
pp. 2121-2125 ◽  
Author(s):  
Sen Zhang ◽  
Ming Chen ◽  
Jin Song Tang
Keyword(s):  
Real Time ◽  
Interpolation Method ◽  
Linear Interpolation ◽  
Synthetic Aperture ◽  
Interpolation Algorithm ◽  
Synthetic Aperture Sonar ◽  
Shadow Area ◽  
Linear Interpolation Method

The shadow detecting algorithm based on the coherence and the Sigma filter is used to pick up the shadow of interferometric synthetic aperture sonar (InSAS), which can eliminate small separated shadow areas. To solve the problems such as great computer complexity of traditional Shepard interpolation method and large fluctuant of linear interpolation method for the large shadow area, an improved Shepard interpolation method is proposed. Interpolation boundary is picked up by using diffuse search, and interpolation source is adaptively chosen according to the size of shadow area. The method carries out a perfect tradeoff between performance and computer speed. Lake trial dataset is used to validate the performance of proposed method. The results indicate that the proposed method can eliminate the fluctuant from the linear interpolation method and can process in real time in the InSAS system.

A Few Effective Preprocessings in Synthetic Aperture Sonar System

1977 ◽  
pp. 569-582 ◽  
Author(s):  
Takuso Sato ◽  
Osamu Ikeda ◽  
Hajime Ohshima ◽  
Hiroyuki Fujikura
Keyword(s):  
Synthetic Aperture ◽  
Synthetic Aperture Sonar ◽  
Sonar System
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