Download or read book Detection and Classification of Low Probability of Intercept Radar Signals Using Parallel Filter Arrays and Higher Order Statistics written by Fernando L. Taboada and published by . This book was released on 2002-09 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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,
Download or read book Detecting and Classifying Low Probability of Intercept Radar written by Phillip E. Pace and published by Artech House. This book was released on 2009 with total page 893 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Download or read book Classification and Analysis of Low Probability of Intercept Radar Signals Using Image Processing written by Christer Persson and published by . This book was released on 2003-09-01 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Detecting and Classifying Low Probability of Intercept Radar written by Phillip E. Pace and published by Artech House. This book was released on 2004 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pace (Naval Postgraduate School) presents the principles of radar design that enable a low probability of intercept (LPI) by a noncooperative intercept receiver. The RF system uses complex pulse compression CW waveforms, low side lobe antennas, and power management techniques to render itself virtually undetectable. The second part of the textbook investigates three algorithms for providing the intercept receiver with a processing gain that is close to the radar's matched filter processing gain, and quantifies their performance with LPI waveforms. The CD-ROM contains MATLAB code for evaluating the complex LPI radar-receiver interactions. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Download or read book Quantifying the Differences in Low Probability of Intercept Radar Waveforms Using Quadrature Mirror Filtering written by Pedro Jarpa and published by . This book was released on 2002-09-01 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Low Probability of Intercept (LPI) radars are a class of radar systems that possess certain performance% characteristics causing them to be nearly undetectable by most modern digital intercept receivers, Consequently, LPI radar systems can operate undetected until the intercept receiver is much closer than the radar's target detector, The enemy is thus faced with a significant problem To detect these types of radar, new direct digital receivers that use sophisticated signal processing are required, This thesis describes a novel signal processing architecture, and shows simulation results for a number of LPI waveforms. The LPI signal detection receiver is based on Quadrature Minor Filter Bank (QMFB) Tree processing and orthogonal wavelet techniques to decompose the input waveform into components representing the signal energy in rectangular "tiles" in the time-frequency plane, By analyzing the outputs at different layers of the tree it is possible to do feature extraction, identify and classify the LPI waveform parameters, and distinguish among the various LPI signal modulations Waveforms used as input signals to the detection algorithm include Frequency Modulated Continuous Wave, Polyphase Codes, Costas Codes and Frequency Shift Keying/Phase Shift Keying waveforms. The output matrices resulting from the most relevant layers of the QMFB tree processing are examined and the LPI modulation parameters are extracted under various signal-to-noise ratios,
Download or read book Advanced Radar Detection Schemes Under Mismatched Signal Models written by Francesco Bandiera and published by Springer Nature. This book was released on 2022-06-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing adaptive algorithms have been designed following the lead of the derivation of Kelly's detector which assumes perfect knowledge of the target steering vector. However, in realistic scenarios, mismatches are likely to occur due to both environmental and instrumental factors. When a mismatched signal is present in the data under test, conventional algorithms may suffer severe performance degradation. The presence of strong interferers in the cell under test makes the detection task even more challenging. An effective way to cope with this scenario relies on the use of "tunable" detectors, i.e., detectors capable of changing their directivity through the tuning of proper parameters. The aim of this book is to present some recent advances in the design of tunable detectors and the focus is on the so-called two-stage detectors, i.e., adaptive algorithms obtained cascading two detectors with opposite behaviors. We derive exact closed-form expressions for the resulting probability of false alarm and the probability of detection for both matched and mismatched signals embedded in homogeneous Gaussian noise. It turns out that such solutions guarantee a wide operational range in terms of tunability while retaining, at the same time, an overall performance in presence of matched signals commensurate with Kelly's detector. Table of Contents: Introduction / Adaptive Radar Detection of Targets / Adaptive Detection Schemes for Mismatched Signals / Enhanced Adaptive Sidelobe Blanking Algorithms / Conclusions
Download or read book Detection and Parameter Extraction of Low Probability of Intercept Radar Signals Using the Reassignment Method and the Hough Transform written by Daniel Lee Stevens and published by . This book was released on 2010 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Exploiting Higher order Statistics in Radar Data for Scattering Center Isolation written by Jeffrey Brandon Hall and published by . This book was released on 2016 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embedded in each observation of a RADAR system is an amalgam of scattered signals. An important function of RADAR signal processing is to resolve or separate this mixture of target signals. Imaging using RADAR data is a well-established area of research. Conventional RADAR imaging methods use a two-dimensional Fourier transform to back-project RADAR measurements to scattering sources [1]. The Fourier transform based imaging techniques have resolution limited by the bandwidth and spatial diversity of available data samples. Super-resolution methods such as MUSIC overcome the resolution limitation by employing an alternate model for the measured data [2]. These techniques are capable of enhancing RADAR images through an increase in the resolvability of scattering produced at particular spatial locations. This research focuses on enhancing RADAR imaging techniques through a concept of isolating and localizing scatterers from within a mixture. The isolation step is accomplished through the notion of separating signals based on their non-Gaussianity. Finite sized radar targets have non-Gaussian probability densities which enables the use of this measure in the distinction of scatterers [3]. The second attractive feature of non-Gaussianity as a measure of distinction is that a mixture of sources with non-Gaussian probabilities tends to Gaussian as the number of independent sources increases. The approach of this manuscript uses a kurtosis maximization algorithm to search for the most non-Gaussian components of a mixture. Once these elements are isolated, an attempt is made to generate an accurate localization of the individual scatterers through a composite maximum view of the components. This research employs simulated and measured RADAR data. The measured RADAR data was captured on the turntable ISAR system at the Wave Scattering Research center of the University of Texas at Arlington. Results show that there is a strong correlation between leptokurtic scattering data and the unique scattering centers in the radar field of view. The results of the testing, on synthetic target sets, yielded a 52% probability of detection of the known scatterers with a localization error of zero in most cases.
Download or read book Advances in Adaptive Radar Detection and Range Estimation written by Chengpeng Hao and published by Springer Nature. This book was released on 2021-12-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test.In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements.Finally, this book could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.
Download or read book Handbook of Radar Signal Analysis written by Bassem R. Mahafza and published by CRC Press. This book was released on 2021-08-30 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new handbook on radar signal analysis adopts a deliberate and systematic approach. It uses a clear and consistent level of delivery while maintaining strong and easy-to-follow mathematical details. The emphasis of this book is on radar signal types and their relevant signal processing and not on radar systems hardware or components. This handbook serves as a valuable reference to a wide range of audience. More specifically, college-level students, practicing radar engineers, as well as casual readers of the subject are the intended target audience of the first few chapters of this book. As the book chapters progress, these grow in complexity and specificity. Accordingly, later chapters are intended for practicing engineers, graduate college students, and advanced readers. Finally, the last few chapters contain several special topics on radar systems that are both educational and scientifically entertaining to all readers. The presentation of topics in this handbook takes the reader on a scientific journey whose major landmarks comprise the different radar subsystems and components. In this context, the chapters follow the radar signal along this journey from its birth to the end of its life. Along the way, the different relevant radar subsystems are analyzed and discussed in great detail. The chapter contributors of this new handbook comprise experienced academia members and practicing radar engineers. Their combined years of academic and real-world experiences are in excess of 175. Together, they bring a unique, easy-to-follow mix of mathematical and practical presentations of the topics discussed in this book. See the "Chapter Contributors" section to learn more about these individuals.
Download or read book Classifying Low Probability of Intercept Radar Using Fuzzy Artmap written by Pieter Frederick Potgieter and published by . This book was released on 2012 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book DETECTING AND CLASSIFYNG LOW PROBABILITY OF INTERCEPT RADAR written by Phillip E. Pace and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Radar Detection and Imaging Using Higher Order Statistics and Wigner Ville Analysis written by Peter Freed and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Autonomous Time frequency Cropping and Feature extraction Algorithms for Classification of LPI Radar Modulations written by and published by . This book was released on 2006 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three autonomous cropping and feature extraction algorithms are examined that can be used for classification of low probability of intercept radar modulations using time-frequency (T-F) images. The first approach, Erosion Dilation Adaptive Binarization (EDAB), uses erosion and a new adaptive threshold binarization algorithm embedded within a recursive dilation process to determine the modulation energy centroid (radar's carrier frequency) and properly place a fixed-width cropping window. The second approach, Marginal Frequency Adaptive Binarization (MFAB), uses the marginal frequency distribution and the adaptive threshold binarization algorithm to determine the start and stop frequencies of the modulation energy to locate and adapt the size of the cropping window. The third approach, Fast Image Filtering, uses the fast Fourier transform and a Gaussian lowpass filter to isolate the modulation energy. The modulation is then cropped from the original T-F image and the adaptive binarization algorithm is used again to compute a binary feature vector for input into a classification network. The binary feature vector allows the image detail to be preserved without overwhelming the classification network that follows. A multi-layer perceptron and a radial basis function network are used for classification and the results are compared. Classification results for nine simulated radar modulations are shown to demonstrate the three feature-extraction approaches and quantify the performance of the algorithms. It is shown that the best results are obtained using the Choi-Williams distribution followed by the MFAB algorithm and a multi-layer perceptron. This setup produced an overall percent correct classification (Pcc) of 87.2% for testing with noise variation and 77.8% for testing with modulation variation. In an operational context, the ability to process and classify LPI signals autonomously allows the operator in the field to receive real-time results.
Download or read book Radar Signal Analysis and Processing Using MATLAB written by Bassem R. Mahafza and published by CRC Press. This book was released on 2016-04-19 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing Using MATLAB provides a comprehensive source of theoretical and practical information on radar signals, signal analysis, and radar signal processing with companion MATLAB code. Aft
Download or read book Introduction to Radar Systems written by Merrill I. Skolnik and published by . This book was released on 1988 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Communications Networks to Support Integrated Intelligence Surveillance and Reconnaissance Strike Operations written by Elham Ghashghai and published by Minnesota Historical Society. This book was released on 2004 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of the study is on combat systems operating at medium and low altitudes, which pose challenges different from intelligence, surveillance, and reconnaissance (ISR) platforms operating at high altitude. Medium- and low-altitude platforms are closer to jammers and signals intelligence receivers, so an adversary might more readily intercept or jam signals. The platforms' low observability can be compromised if they transmit large amounts of data, increasing their chance of detection. After discussing data requirements and threats and examining the current communications programs and shortfalls, the analysis finds that there is no one solution for all situations and platforms. A combination of options will be needed to ensure a reliable and robust communications link. These options will vary depending on altitude, range, data rate, and threat. Although communications does not appear to be a limiting factor for future ISR forces, programmatic action will be required to develop the necessary systems and the costs could be high.
