NDLI: A real-time cognitive-sonar system for diver detection

Content Provider	IEEE Xplore Digital Library
Author	Claussen, Tim Nguyen, Viet Duc Heute, Ulrich Schmidt, Gerhard
Copyright Year	2015
Description	Author affiliation: Digital Signal Processing and System Theory, University of Kiel, Germany (Claussen, Tim; Nguyen, Viet Duc; Heute, Ulrich; Schmidt, Gerhard)
Abstract	Cognitive signal processing has been intensively studied over the past years. Nevertheless, cognitive sonar systems only draw little attention in the research community. In this paper the signal processing of a cognitive sonar system for diver detection is shown in detail. It is inspired by the target-detection system of a bat and thus able to adapt its signal processing units to measured parameters of particular targets. This is done by adjusting the transmitted signal as well as the direction of the transmitted energy of the active sonar system by transmit beamforming. Thereby, it is possible to improve on the one hand the probability of detection of a target for a given signal-to-noise ratio (SNR) as well as signal-to-reverberation ratio (SRR) and, on the other hand, to extend the spatial awareness by adapting the transmit beamformer. This technique leads to a combination of two spatial filters: the receive beampattern and the transmit beampattern. To obtain target-specific parameters, the data form an internal tracking system is used. After showing a general system overview, the core parts of the signal processing are shown in detail. At this point we focus on the Doppler processing with its real-time interpolation and correlation algorithms. Monte-Carlo simulations illustrate the potential of the proposed system by comparing the results with conventional active-sonar signal processing.
Starting Page	1
Ending Page	9
File Size	862993
Page Count	9
File Format	PDF
ISBN	9780933957435
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	MTS
Subject Keyword	Sonar Target tracking Array signal processing Real-time systems Signal to noise ratio Doppler effect
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Real-time cognitive sonar system with target-optimized adaptive signal processing through multi-layer data fusion

Diver detection sonar

Acoustic Dopplergram for Intruder Defense

Tracking performance loss due to false associations of contacts from semi-coherent signal processing chains

Towards a passive acoustic underwater system for protecting harbours against intruders

Experiments with cognitive radar

Reverse-Time Tracking to Enhance Passive Sonar

New efficient target tracking based upon hidden Markov model and probabilistic data association

SCUBA diver detection and classification in active and passive sonars — A unified approach

A real-time cognitive-sonar system for diver detection

Similar Documents

Real-time cognitive sonar system with target-optimized adaptive signal processing through multi-layer data fusion

Diver detection sonar

Acoustic Dopplergram for Intruder Defense

Tracking performance loss due to false associations of contacts from semi-coherent signal processing chains

Towards a passive acoustic underwater system for protecting harbours against intruders

Experiments with cognitive radar

Reverse-Time Tracking to Enhance Passive Sonar

New efficient target tracking based upon hidden Markov model and probabilistic data association

SCUBA diver detection and classification in active and passive sonars — A unified approach

A real-time cognitive-sonar system for diver detection