Algorithmic improvements to the real-time implementation of a synthetic aperture sonar beam former

1997 ◽  
Author(s):  
Douglas K. Freeman
1996 ◽  
Vol 143 (3) ◽  
pp. 169 ◽  
Author(s):  
A.E. Adams ◽  
M.A. Lawlor ◽  
V.S. Riyait ◽  
O.R. Hinton ◽  
B.S. Sharif

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

1995 ◽  
Vol 4 (7) ◽  
pp. 1010-1019 ◽  
Author(s):  
V.S. Riyait ◽  
M.A. Lawlor ◽  
A.E. Adams ◽  
O. Hinton ◽  
B. Sharif

2012 ◽  
Vol 605-607 ◽  
pp. 2121-2125 ◽  
Author(s):  
Sen Zhang ◽  
Ming Chen ◽  
Jin Song Tang

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.


Author(s):  
Ursula Ho¨lscher-Ho¨bing ◽  
Mikael Bliksted Larsen

Future naval systems for MCM will include a family of advanced underwater vehicles: AUV’s, towed vehicles, inspection ROV’s, expendable mine disposal vehicles etc. Navigation system technical requirements range from low cost for disposable vehicles in high quantity production to state-of-the-art autonomous navigation in support of AUV’s and high resolution Synthetic Aperture Sonar (SAS) for mine hunting. Using modern development tools and floating point embedded processors it was possible to create a generic implementation of the conventional Aided Inertial Navigation System (AINS) framework. The proven framework and real-time embedded software/hardware ensures optimum fit of navigation systems technical requirements via complete freedom in choice of navigation sensors, aiding techniques and operational procedures. This paper describes the underlying navigation system framework and in particular the first real-time embedded application within an underwater vehicle: Extremely high performance relative navigation in support of SAS processing for detection of buried mines.


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