NDLI: Tracking with MIMO sonar systems: applications to harbour surveillance

Content Provider	IET Digital Library
Author	Pailhas, Yan Houssineau, Jeremie Petillot, Yvan René Clark, Daniel Edward
Abstract	Multiple-input multiple-output (MIMO) sonar systems offer new perspectives for area surveillance especially in complex environments where strong multipath and dense clutter can become very challenging. This study proposes a MIMO sonar system based scheme to tackle the difficult problem of harbour surveillance. An emphasis is put on recognition and tracking on low-profile mid-water targets. First, a MIMO simulator which can compute synthetic raw data for any transmitter/ receiver pair in a multipath, cluttered and dynamic environment is presented. The study then proposes two radically different methods for the underwater target tracking problem in complex environment: a digital tracker and an analogue tracker. On the digital side, an implementation of the recently developed hypothesised filter for independent stochastic populations is presented. This filter enables robust multi-object tracking as well as track classification capabilities without the use of heuristics. An analogue filter based on acoustical time reversal techniques is also introduced. This filter directly uses the returned acoustic field from the scene to focus the sound on the expected target position, hence improving the signal-to-noise ratio on the target in complex environments and taking full advantage of the MIMO architecture.
Starting Page	629
Ending Page	639
Page Count	11
ISSN	17518784
Volume Number	11
e-ISSN	17518792
Issue Number	Issue 4, Apr (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/11/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2016.0080
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-07-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Field Acoustical Time Reversal Technique Analogue Filter Analogue Tracker Autonomous Underwater Vehicle Classification Capability Tracking Clutter Dense Clutter Digital Tracker Filtering Method in Signal Processing Harbour Surveillance Hypothesised Filter Independent Stochastic Populations Low-profile Mid-water Target Recognition Low-profile Mid-water Target Tracking MIMO Simulator MIMO Sonar System Multiple-input Multiple-output Sonar System Object Tracking Robust Multiobject Tracking Signal Classification Signal to Noise Ratio Sonar And Acoustic Radar Sonar Target Recognition Sonar Tracking Strong Multipath Clutter Surveillance Target Tracking Tracking Filter Transmitter-receiver Pair Underwater Target Tracking Problem
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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
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Tracking with MIMO sonar systems: applications to harbour surveillance