The Resource Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book)
Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book)
Resource Information
The item Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- "Recently, various algorithms for radar signal detection that rely heavily upon complicated processing and/or antenna architectures have been the subject of much interest. These techniques owe their genesis to several factors. One is revolutionary technological advances in high-speed signal processing hardware and digital array radar technology. Another is the stress on requirements often imposed by defence applications in areas such as airborne early warning and homeland security. This book explores these emerging research thrusts in radar detection with advanced radar systems capable of operating in challenging scenarios with a plurality of interference sources, both man-made and natural. Topics covered include: adaptive radar detection in Gaussian interference with unknown spectral properties; invariance theory as an instrument to force the Constant False Alarm Rate (CFAR) property at the design stage; one- and two-stage detectors and their performances; operating scenarios where a small number of training data for spectral estimation is available; Bayesian radar detection to account for prior information in the interference covariance matrix; and radar detection in the presence of non-Gaussian interference. Detector design techniques based on a variety of criteria are thoroughly presented and CFAR issues are discussed. Performance analyses representative of practical airborne, as well as ground-based and shipborne, radar situations are shown. Results on real radar data are also discussed. Modern Radar Detection Theory provides a comprehensive reference on the latest developments in adaptive radar detection for researchers, advanced students and engineers working on statistical signal processing and its applications to radar systems"--Provided by publisher
- Language
- eng
- Extent
- 1 online resource (382 pages)
- Contents
-
- Ram S. Raghavan, Shawn Kraut, and Christ D. Richmond
- 4.
- Two-Stage Detectors for Point-Like Targets in Gaussian Interference with Unknown Spectral Properties
- Antonio De Maio, Chengpeng Hao, and Danilo Orlando
- 5.
- Bayesian Radar Detection in Interference
- Pu Wang, Hongbin Li, and Braham Himed
- 6.
- Adaptive Radar Detection for Sample-Starved Gaussian Training Conditions
- Yuri I. Abramovich and Ben A. Johnson
- 1.
- 7.
- Compound-Gaussian Models and Target Detection: A Unified View
- K. James Sangston, Maria S. Greco, and Fulvio Gini
- 8.
- Covariance Matrix Estimation in SIRV and Elliptical Processes and Their Applications in Radar Detection
- Jean-Philippe Ovarlez, Frédéric Pascal, and Philippe Forster
- 9.
- Detection of Extended Target in Compound-Gaussian Clutter
- Augusto Aubry, Javier Carretero-Moya, Antonio De Maio, Antonio Pauciullo, Javier Gismero-Menoyo, and Alberto Asensio-Lopez
- Introduction to Radar Detection
- Antonio De Maio, Maria S. Greco, and Danilo Orlando
- 2.
- Radar Detection in White Gaussian Noise: A GLRT Framework
- Ernesto Conte, Antonio De Maio, and Guolong Cui
- 3.
- Subspace Detection for Adaptive Radar: Detectors and Performance Analysis
- Isbn
- 9781523101757
- Label
- Modern radar detection theory
- Title
- Modern radar detection theory
- Statement of responsibility
- edited by Antonio De Maio, Maria Sabrina Greco
- Language
- eng
- Summary
- "Recently, various algorithms for radar signal detection that rely heavily upon complicated processing and/or antenna architectures have been the subject of much interest. These techniques owe their genesis to several factors. One is revolutionary technological advances in high-speed signal processing hardware and digital array radar technology. Another is the stress on requirements often imposed by defence applications in areas such as airborne early warning and homeland security. This book explores these emerging research thrusts in radar detection with advanced radar systems capable of operating in challenging scenarios with a plurality of interference sources, both man-made and natural. Topics covered include: adaptive radar detection in Gaussian interference with unknown spectral properties; invariance theory as an instrument to force the Constant False Alarm Rate (CFAR) property at the design stage; one- and two-stage detectors and their performances; operating scenarios where a small number of training data for spectral estimation is available; Bayesian radar detection to account for prior information in the interference covariance matrix; and radar detection in the presence of non-Gaussian interference. Detector design techniques based on a variety of criteria are thoroughly presented and CFAR issues are discussed. Performance analyses representative of practical airborne, as well as ground-based and shipborne, radar situations are shown. Results on real radar data are also discussed. Modern Radar Detection Theory provides a comprehensive reference on the latest developments in adaptive radar detection for researchers, advanced students and engineers working on statistical signal processing and its applications to radar systems"--Provided by publisher
- Cataloging source
- EBLCP
- Dewey number
- 621.3848
- Illustrations
- illustrations
- Index
- index present
- LC call number
- TK6575
- LC item number
- .M626 2016
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- De Maio, Antonio
- Greco, Maria
- http://library.link/vocab/subjectName
- Radar
- Label
- Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book)
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Ram S. Raghavan, Shawn Kraut, and Christ D. Richmond
- 4.
- Two-Stage Detectors for Point-Like Targets in Gaussian Interference with Unknown Spectral Properties
- Antonio De Maio, Chengpeng Hao, and Danilo Orlando
- 5.
- Bayesian Radar Detection in Interference
- Pu Wang, Hongbin Li, and Braham Himed
- 6.
- Adaptive Radar Detection for Sample-Starved Gaussian Training Conditions
- Yuri I. Abramovich and Ben A. Johnson
- 1.
- 7.
- Compound-Gaussian Models and Target Detection: A Unified View
- K. James Sangston, Maria S. Greco, and Fulvio Gini
- 8.
- Covariance Matrix Estimation in SIRV and Elliptical Processes and Their Applications in Radar Detection
- Jean-Philippe Ovarlez, Frédéric Pascal, and Philippe Forster
- 9.
- Detection of Extended Target in Compound-Gaussian Clutter
- Augusto Aubry, Javier Carretero-Moya, Antonio De Maio, Antonio Pauciullo, Javier Gismero-Menoyo, and Alberto Asensio-Lopez
- Introduction to Radar Detection
- Antonio De Maio, Maria S. Greco, and Danilo Orlando
- 2.
- Radar Detection in White Gaussian Noise: A GLRT Framework
- Ernesto Conte, Antonio De Maio, and Guolong Cui
- 3.
- Subspace Detection for Adaptive Radar: Detectors and Performance Analysis
- Control code
- KNOVEL945612152
- Dimensions
- unknown
- Extent
- 1 online resource (382 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781523101757
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- Label
- Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book)
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Ram S. Raghavan, Shawn Kraut, and Christ D. Richmond
- 4.
- Two-Stage Detectors for Point-Like Targets in Gaussian Interference with Unknown Spectral Properties
- Antonio De Maio, Chengpeng Hao, and Danilo Orlando
- 5.
- Bayesian Radar Detection in Interference
- Pu Wang, Hongbin Li, and Braham Himed
- 6.
- Adaptive Radar Detection for Sample-Starved Gaussian Training Conditions
- Yuri I. Abramovich and Ben A. Johnson
- 1.
- 7.
- Compound-Gaussian Models and Target Detection: A Unified View
- K. James Sangston, Maria S. Greco, and Fulvio Gini
- 8.
- Covariance Matrix Estimation in SIRV and Elliptical Processes and Their Applications in Radar Detection
- Jean-Philippe Ovarlez, Frédéric Pascal, and Philippe Forster
- 9.
- Detection of Extended Target in Compound-Gaussian Clutter
- Augusto Aubry, Javier Carretero-Moya, Antonio De Maio, Antonio Pauciullo, Javier Gismero-Menoyo, and Alberto Asensio-Lopez
- Introduction to Radar Detection
- Antonio De Maio, Maria S. Greco, and Danilo Orlando
- 2.
- Radar Detection in White Gaussian Noise: A GLRT Framework
- Ernesto Conte, Antonio De Maio, and Guolong Cui
- 3.
- Subspace Detection for Adaptive Radar: Detectors and Performance Analysis
- Control code
- KNOVEL945612152
- Dimensions
- unknown
- Extent
- 1 online resource (382 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781523101757
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Modern-radar-detection-theory-edited-by-Antonio/J1B2iFWHKfY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Modern-radar-detection-theory-edited-by-Antonio/J1B2iFWHKfY/">Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book)
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Modern-radar-detection-theory-edited-by-Antonio/J1B2iFWHKfY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Modern-radar-detection-theory-edited-by-Antonio/J1B2iFWHKfY/">Modern radar detection theory, edited by Antonio De Maio, Maria Sabrina Greco, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
