NDLI: Chaotic CFAR detectors for detection of land and sea point targets

Content Provider	IEEE Xplore Digital Library
Author	Lampropoulos, G.A. Leung, H.
Copyright Year	2000
Description	Author affiliation: AUG Signals Ltd., Toronto, Ont., Canada (Lampropoulos, G.A.)
Abstract	This paper presents a new formulation for chaotic detectors which is based on a combination of statistical detectors and chaotic predictors. The chaotic predictors are user to estimate the clutter (i.e., modulation component), while the statistical detectors are used at the output of the squared residual error of the chaotic predictor. Here, the background clutter is this error component and any man-made point target that may be present. The residual error consists of the residual modulation component, the speckle and additive thermal noise. The proposed detector has been used for detecting man-made point targets using a wide range of radar data. Detection of small man-made targets in radar or infrared clutter is an important area of interest for many applications such as ocean surveillance, search and rescue, remote sensing, mine detection, etc. It has been shown that infrared and radar clutter exhibit chaotic rather than purely random behaviour. From the chaotic point of view, a neural network predictor has been developed using a generalized regression neural network (GRNN).
Starting Page	404
Ending Page	409
File Size	567724
Page Count	6
File Format	PDF
ISBN	0780357760
DOI	10.1109/RADAR.2000.851868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-05-12
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Radar detection Infrared detectors Additive noise Radar remote sensing Neural networks Speckle Radar applications Radar clutter Infrared surveillance
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

Chaotic detection of small target in sea clutter

Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks

A distributed CFAR processor with data fusion for correlated targets in homogeneous clutter

Incoherent detection of targets with unknown Doppler shift in spiky K-distributed clutter

Study and analysis of a new detector of radar targets using CFAR with Gabor transform

Determining the importance of learning the underlying dynamics of sea clutter for radar target detection

Compressive sensing radar: Simulation and experiments for target detection

Analysis of improved switching CFAR in the presence of clutter and multiple targets

CFAR detector using GIS information

Chaotic CFAR detectors for detection of land and sea point targets

Similar Documents

Chaotic detection of small target in sea clutter

Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks

A distributed CFAR processor with data fusion for correlated targets in homogeneous clutter

Incoherent detection of targets with unknown Doppler shift in spiky K-distributed clutter

Study and analysis of a new detector of radar targets using CFAR with Gabor transform

Determining the importance of learning the underlying dynamics of sea clutter for radar target detection

Compressive sensing radar: Simulation and experiments for target detection

Analysis of improved switching CFAR in the presence of clutter and multiple targets

CFAR detector using GIS information

Chaotic CFAR detectors for detection of land and sea point targets