SG152095A1 - Sonar vision method and apparatus - Google Patents

Sonar vision method and apparatus

Info

Publication number
SG152095A1
SG152095A1 SG200717250-5A SG2007172505A SG152095A1 SG 152095 A1 SG152095 A1 SG 152095A1 SG 2007172505 A SG2007172505 A SG 2007172505A SG 152095 A1 SG152095 A1 SG 152095A1
Authority
SG
Singapore
Prior art keywords
sonar
signal
objects
waves
processed
Prior art date
Application number
SG200717250-5A
Inventor
Chua Weng Heng
Pek Wee Kok
Original Assignee
Singapore Tech Dynamics Pte
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Singapore Tech Dynamics Pte filed Critical Singapore Tech Dynamics Pte
Priority to SG200717250-5A priority Critical patent/SG152095A1/en
Publication of SG152095A1 publication Critical patent/SG152095A1/en

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  • Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)

Abstract

A method and apparatus for sonar imaging and ranging of objects is disclosed. The apparatus includes a sonar wave transmitter capable of broadcasting sonar waves at objects to be imaged and ranged. An array of microphones, e.g. in a 20 x 20 rectangular array at 2.4 mm apart from one another and corresponding to imaging elements of a display, is used to receive the reflected sonar waves and signals generated therefrom are conditioned and digitized before being processed. Beamforming technique is used to improve the signal to noise ratio. Matched filtering is then applied on a beamformed signal, preferably on each of the direction of the reflected sonar waves to obtain the range information of the object. A combination of the direction, range and magnitude of processed signal is then displayed as 3-dimensional image. A Doppler frequency detector may optionally be included to estimate the relative velocity of the object.
SG200717250-5A 2007-10-29 2007-10-29 Sonar vision method and apparatus SG152095A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
SG200717250-5A SG152095A1 (en) 2007-10-29 2007-10-29 Sonar vision method and apparatus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
SG200717250-5A SG152095A1 (en) 2007-10-29 2007-10-29 Sonar vision method and apparatus

Publications (1)

Publication Number Publication Date
SG152095A1 true SG152095A1 (en) 2009-05-29

Family

ID=40677392

Family Applications (1)

Application Number Title Priority Date Filing Date
SG200717250-5A SG152095A1 (en) 2007-10-29 2007-10-29 Sonar vision method and apparatus

Country Status (1)

Country Link
SG (1) SG152095A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118038258A (en) * 2024-03-27 2024-05-14 西北工业大学青岛研究院 Underwater moving fish shoal small target real-time counting method based on convolutional neural network

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005047930A1 (en) * 2003-10-17 2005-05-26 Farsounder, Inc. 3-d forward looking sonar with fixed frame of reference for navigation
US20070159922A1 (en) * 2001-06-21 2007-07-12 Zimmerman Matthew J 3-D sonar system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070159922A1 (en) * 2001-06-21 2007-07-12 Zimmerman Matthew J 3-D sonar system
WO2005047930A1 (en) * 2003-10-17 2005-05-26 Farsounder, Inc. 3-d forward looking sonar with fixed frame of reference for navigation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
LOW- POWER, HIGH RESOLUTION 3D SONAR IMAGING SYSTEM *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118038258A (en) * 2024-03-27 2024-05-14 西北工业大学青岛研究院 Underwater moving fish shoal small target real-time counting method based on convolutional neural network

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