Detecting and Classifying Low Probability of Intercept Radar PDF Download

Author: Phillip E. Pace
Publisher: Artech House
ISBN: 159693235X
Category : Technology & Engineering
Languages : en
Pages : 893

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Book Description
"This comprehensive book presents LPI radar design essentials, including ambiguity analysis of LPI waveforms, FMCW radar, and phase-shift and frequency-shift keying techniques. Moreover, you find details on new OTHR modulation schemes, noise radar, and spatial multiple-input multiple-output (MIMO) systems. The book explores autonomous non-linear classification signal processing algorithms for identifying LPI modulations. It also demonstrates four intercept receiver signal processing techniques for LPI radar detection that helps you determine which time-frequency, bi-frequency technique best suits any LPI modulation of interest."--Publisher.

Author: Phillip E. Pace
Publisher: Artech House Publishers
ISBN: 9781596932340
Category : Technology & Engineering
Languages : en
Pages : 857

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Book Description
"The world's most authoritative resource on LPI emitter design and counter-LPI techniques is now updated with the latest developments in the field, complete with 360 task-clarifying illustrations and ready-to-use MATLAB simulations for every LPI modulation in the book. This revised and expanded second edition brings you to the cutting edge with new chapters on LPI radar design, including over-the-horizon radar, random noise radar, and netted LPI radar. You also discover critical LPI detection techniques, parameter extraction signal processing techniques, and anti-radiation missile design strategies to counter LPI radar.

Author: Fernando L. Taboada
Publisher:
ISBN: 9781423507079
Category :
Languages : en
Pages : 297

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Book Description
Low probability of intercept (LPI) is that property of an emitter that because of its low power, wide bandwidth, frequency variability, or other design attributes, makes it difficult to be detected or identified by means of passive intercept devices such as radar warning, electronic support and electronic intelligence receivers, In order to detect LPI radar waveforms new signal processing techniques are required This thesis first develops a MATLAB toolbox to generate important types of LPI waveforms based on frequency and phase modulation The power spectral density and the periodic ambiguity function are examined for each waveforms These signals are then used to test a novel signal processing technique that detects the waveforms parameters and classifies the intercepted signal in various degrees of noise, The technique is based on the use of parallel filter (sub-band) arrays and higher order statistics (third- order cumulant estimator) Each sub-band signal is treated individually and is followed by the third-order estimator in order to suppress any symmetrical noise that might be present, The significance of this technique is that it separates the LPI waveforms in small frequency bands, providing a detailed time-frequency description of the unknown signal, Finally, the resulting output matrix is processed by a feature extraction routine to detect the waveforms parameters Identification of the signal is based on the modulation parameters detected,

Author: Christer Persson
Publisher:
ISBN: 9781423500759
Category :
Languages : en
Pages : 148

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Book Description
The characteristic of low probability of intercept (LPI) radar makes it difficult to intercept with conventional signal intelligence methods so new interception methods need to be developed. This thesis initially describes a simulation of a polytime phase-coded LPI signal. The thesis then introduces a method for classification of LPI radar signals. The method utilizes a parallel tree structure with three separate 'branches' to exploit the image representation formed by three separate detection methods. Each detection method output is pre-processed and features are extracted using image processing. After processing the images, they are each fed into three separate neural networks to be classified. The classification output of each neural network is then combined and fed into a fourth neural network performing the final classification. The outcome of testing shows only 53%, which might be the result of the image representation of the detection methods not being distinct enough, the pre - processing/feature extraction not being able to extract relevant information or the neural networks not being properly trained. The thesis concludes with a brief discussion about a suitable method for image processing to extract significant parameters from a LPI signal.

Author: Mark Nixon
Publisher: Academic Press
ISBN: 0123978246
Category : Computers
Languages : en
Pages : 629

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Book Description
Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. - Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews - Essential reading for engineers and students working in this cutting-edge field - Ideal module text and background reference for courses in image processing and computer vision - The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

Author: Merrill I. Skolnik
Publisher:
ISBN:
Category : Radar
Languages : en
Pages : 581

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Book Description

Author: Mikhail Cherniakov
Publisher: Wiley
ISBN: 9780470026304
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
Bistatic radars have been a focus of study since the earliest days of radar research. Despite this, until recently only a few bistatic systems have crossed the experimental study threshold, and, consequently there is little knowledge about them compared with their monostatic counterparts. Now, there is a fast growing interest in bistatic radar, due to its importance in the development of defence, remote sensing, aerospace, meteorological and navigation application fields, as well as its unique pecularities. These include covert operational ability relevant to the receiver position, counter-stealth ability, and a potentially reduced cost as one transmitter can be used to send information to several receivers. With contributions from international experts working with bistatic radar, this book provides an introduction to the technology, covering information on basic principles and design. Starting with a detailed look at monostatic radar, examining the development of the field as a whole, the book then goes on to: introduce the classical aspects of bistatic radar such as geometry, power budget and resolution; present an in depth analysis of bistatic scattering of electromagnetic waves; provide an overview of the bistatic radar potential which follows from their bistatic nature; discuss forward scattering radar; investigate forward scattering radar for air targets detection and tracking; set out an experimental study of real world forward scattering radar. Bistatic Radar: Principles and Practice gives an up-to-date overview of this important technology for practising engineers and researchers involved in the design and implementation of bistatic radar in a range of industries. It is also a valuable reference for advanced students taking special courses in radar technology.

Author: Antonio F. Lime, Jr.
Publisher:
ISBN: 9781423507642
Category :
Languages : en
Pages : 186

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Book Description
LPI radar is a class of radar systems that possess certain performance characteristics that make them nearly undetectable by today's digital intercept receivers, This presents a significant tactical problem in the battle space To detect these types of radar, new digital receivers that use sophisticated signal processing techniques are required This thesis investigates the use of cyclostationary processing to extract the modulation parameters from a variety of continuous-wave (CW) low-probability-of- intercept (LPI) radar waveforms, The cyclostationary detection techniques described exploit the fact that digital signals vary in time with single or multiple periodicities, because they have spectral correlation, namely, non-zero correlation between certain frequency components, at certain frequency shifts, The use of cyclostationary signal processing in a non-cooperative intercept receiver can help identify the particular emitter and can help develop electronic attacks, LPI CW waveforms examined include Frank codes, polyphase codes (Pt through P4), Frequency Modulated CW (FMCW), Costas frequencies as well as several frequency-shift- keying/phase-shift-keying (FSK/PSK) waveforms It is shown that for signal-to- noise ratios of OdB and -6 dB, the cyclostationary signal processing can extract the modulation parameters necessary in order to distinguish among the various types of LPI modulations.

Author: James Byrnes
Publisher: Springer Science & Business Media
ISBN: 1402092539
Category : Technology & Engineering
Languages : en
Pages : 288

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Book Description
The chapters in this volume were presented at the July–August 2008 NATO Advanced Study Institute on Unexploded Ordnance Detection and Mitigation. The conference was held at the beautiful Il Ciocco resort near Lucca, in the glorious Tuscany region of northern Italy. For the ninth time we gathered at this idyllic spot to explore and extend the reciprocity between mathematics and engineering. The dynamic interaction between world-renowned scientists from the usually disparate communities of pure mathematicians and applied scientists which occurred at our eight previous ASI’s continued at this meeting. The detection and neutralization of unexploded ordnance (UXO) has been of major concern for very many decades; at least since the First World war. UXO continues to be the subject of intensive research in many ?elds of science, incl- ing mathematics, signal processing (mainly radar and sonar) and chemistry. While today’s headlines emphasize the mayhem resulting from the placement of imp- vised explosive devices (IEDs), humanitarian landmine clearing continues to draw signi?cant global attention as well. In many countries of the world, landmines threaten the population and hinder reconstruction and fast, ef?cient utilization of large areas of the mined land in the aftermath of military con?icts.

Author: J. R. Parker
Publisher: John Wiley & Sons
ISBN: 1118021886
Category : Computers
Languages : en
Pages : 498

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Book Description
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.