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Detection Of Frequency Hopped Signals Timing Information Using The Temporal Correlation Function
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Book Synopsis Detection of Frequency Hopped Signals Timing Information Using the Temporal Correlation Function by :
Download or read book Detection of Frequency Hopped Signals Timing Information Using the Temporal Correlation Function written by and published by . This book was released on 2008 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work extends earlier work derived by Overdyk and investigates the use of wavelet transform and image processing tools to estimate hopping times occurring in frequency hopping schemes. The detection algorithm identifies frequency hopping time locations found in FH schemes from the information provided by the two-dimensional short-term signal temporal correlation function. Hopping time locations are shown to be provided by identifying TGF phase discontinuities. The detection scheme has three main stages: I. Derive the analytic version of the FH signal and compute the resulting TGF function; 2. Enhance discontinuities via the one-dimensional Wavelet transform; 3. Apply morphological image processing operations and the Hough transform to estimate hopping time locations. Results show that for FH signals imbedded in additive White Gaussian noise reliable detection performance may be obtained for SNR levels above 3 dB and good detection performance for SNR levels above 6dB for 5% to 20% detection accuracy.
Book Synopsis Detection and Estimation of Frequency Hopping Signals Using Wavelet Transforms by : Howard F. Overdyk
Download or read book Detection and Estimation of Frequency Hopping Signals Using Wavelet Transforms written by Howard F. Overdyk and published by . This book was released on 1997-09-01 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis investigates the use of wavelet transforms in the detection and estimation of spread spectrum frequency hopping signals. The technique developed in this work makes only two basic assumptions of a minimum hopping time and a minimum frequency hopping differential. The approach is based on the phase information of the temporal correlation function and the resulting discrete wavelet transform is used to estimate the hopping time of frequency hopping signals. Results show the proposed scheme is robust to additive white noise for SNR levels of 3 dB and above.
Book Synopsis Processing of Second Order Statistics Via Wavelet Transforms by :
Download or read book Processing of Second Order Statistics Via Wavelet Transforms written by and published by . This book was released on 1998 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research was conducted to evaluate the feasibility of wavelet transforming second order statistics. To identify the modulation type and to extract signal modulation parameters of frequency hopped signals wavelet functions are applied to the two-dimensional instantaneous correlation function. Parameters of interest are switching times and hop frequencies. The characteristics of the wavelet transform of the correlation function is derived. The wavelet transform is applied along the delay and the time axes. Processing along the delay axis allows the identification of frequency hopped signals and estimation of frequencies and switching times. Processing along the time axis allows detection of the transition times of frequency and time hopped signals.
Book Synopsis Recent Developments in Time-Frequency Analysis by : Leon Cohen
Download or read book Recent Developments in Time-Frequency Analysis written by Leon Cohen and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Developments in Time-Frequency Analysis brings together in one place important contributions and up-to-date research results in this fast moving area. Recent Developments in Time-Frequency Analysis serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Book Synopsis Processing of Second Order Statistics Via Wavelet Transforms by : Ralph Dieter Hippenstiel
Download or read book Processing of Second Order Statistics Via Wavelet Transforms written by Ralph Dieter Hippenstiel and published by . This book was released on 1998-02-01 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research was conducted to evaluate the feasibility of wavelet transforming second order statistics. To identify the modulation type and to extract signal modulation parameters of frequency hopped signals wavelet functions are applied to the two-dimensional instantaneous correlation function. Parameters of interest are switching times and hop frequencies. The characteristics of the wavelet transform of the correlation function is derived. The wavelet transform is applied along the delay and the time axes. Processing along the delay axis allows the identification of frequency hopped signals and estimation of frequencies and switching times. Processing along the time axis allows detection of the transition times of frequency and time hopped signals.
Book Synopsis TIME-FREQUENCY ANALYSIS TECHNIQUES FOR NON-STATIONARY SIGNALS USING SPARSITY by : VAISHALI AMIN
Download or read book TIME-FREQUENCY ANALYSIS TECHNIQUES FOR NON-STATIONARY SIGNALS USING SPARSITY written by VAISHALI AMIN and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-stationary signals, particularly frequency modulated (FM) signals which arecharacterized by their time-varying instantaneous frequencies (IFs), are fundamental to radar, sonar, radio astronomy, biomedical applications, image processing, speech processing, and wireless communications. Time-frequency (TF) analyses of such signals provide two-dimensional mapping of time-domain signals, and thus are regarded as the most preferred technique for detection, parameter estimation, analysis and utilization of such signals. In practice, these signals are often received with compressed measurements as a result of either missing samples, irregular samplings, or intentional under-sampling of the signals. These compressed measurements induce undesired noise-like artifacts in the TF representations (TFRs) of such signals. Compared to random missing data, burst missing samples present a more realistic, yet a more challenging, scenario for signal detection and parameter estimation through robust TFRs. In this dissertation, we investigated the effects of burst missing samples on different joint-variable domain representations in detail. Conventional TFRs are not designed to deal with such compressed observations. On the other hand, sparsity of such non-stationary signals in the TF domain facilitates utilization of sparse reconstruction-based methods. The limitations of conventional TF approaches and the sparsity of non-stationary signals in TF domain motivated us to develop effective TF analysis techniques that enable improved IF estimation of such signals with high resolution, mitigate undesired effects of cross terms and artifacts and achieve highly concentrated robust TFRs, which is the goal of this dissertation. In this dissertation, we developed several TF analysis techniques that achieved the aforementioned objectives. The developed methods are mainly classified into two three broad categories: iterative missing data recovery, adaptive local filtering based TF approach, and signal stationarization-based approaches. In the first category, we recovered the missing data in the instantaneous auto-correlation function (IAF) domain in conjunction with signal-adaptive TF kernels that are adopted to mitigate undesired cross-terms and preserve desired auto-terms. In these approaches, we took advantage of the fact that such non-stationary signals become stationary in the IAF domain at each time instant. In the second category, we developed a novel adaptive local filtering-based TF approach that involves local peak detection and filtering of TFRs within a window of a specified length at each time instant. The threshold for each local TF segment is adapted based on the local maximum values of the signal within that segment. This approach offers low-complexity, and is particularly useful for multi-component signals with distinct amplitude levels. Finally, we developed knowledge-based TFRs based on signal stationarization and demonstrated the effectiveness of the proposed TF techniques in high-resolution Doppler analysis of multipath over-the-horizon radar (OTHR) signals. This is an effective technique that enables improved target parameter estimation in OTHR operations. However, due to high proximity of these Doppler signatures in TF domain, their separation poses a challenging problem. By utilizing signal self-stationarization and ensuring IF continuity, the developed approaches show excellent performance to handle multiple signal components with variations in their amplitude levels.
Book Synopsis Spectral Correlation of Modulated Signals by : Chihkang Chen
Download or read book Spectral Correlation of Modulated Signals written by Chihkang Chen and published by . This book was released on 1985 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Time-Frequency Analysis and Synthesis of Linear Signal Spaces by : Franz Hlawatsch
Download or read book Time-Frequency Analysis and Synthesis of Linear Signal Spaces written by Franz Hlawatsch and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear signal spaces are of fundamental importance in signal and system theory, communication theory, and modern signal processing. This book proposes a time-frequency analysis of linear signal spaces that is based on two novel time-frequency representations called the `Wigner distribution of a linear signal space' and the `ambiguity function of a linear signal space'. Besides being a useful display and analysis tool, the Wigner distribution of a linear signal space allows the design of high-resolution time-frequency filtering methods. This book develops such methods and applies them to the enhancement, decomposition, estimation, and detection of noisy deterministic and stochastic signals. Formulation of the filtering (estimation, detection) methods in the time-frequency plane yields a direct interpretation of the effect of adding or deleting information, changing parameters, etc. In a sense, the prior information and the signal processing tasks are brought to life in the time-frequency plane. The ambiguity function of a linear signal space, on the other hand, is closely related to a novel maximum-likelihood multipulse estimator of the range and Doppler shift of a slowly fluctuating point target - an estimation problem that is important in radar and sonar. Specifically, the ambiguity function of a linear signal space is relevant to the problem of optimally designing a set of radar pulses. The concepts and methods presented are amply illustrated by examples and pictures. Time-Frequency Analysis and Synthesis of Linear Signal Spaces: Time-Frequency Filters, Signal Detection and Estimation, and Range-Doppler Estimation is an excellent reference and may be used as a text for advanced courses covering the subject.
Book Synopsis Applications in Time-Frequency Signal Processing by : Antonia Papandreou-Suppappola
Download or read book Applications in Time-Frequency Signal Processing written by Antonia Papandreou-Suppappola and published by CRC Press. This book was released on 2018-10-03 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency component. A more suitable approach for those studying non-stationary signals is the use of time frequency representations that are functions of both time and frequency. Applications in Time-Frequency Signal Processing investigates the use of various time-frequency representations, such as the Wigner distribution and the spectrogram, in diverse application areas. Other books tend to focus on theoretical development. This book differs by highlighting particular applications of time-frequency representations and demonstrating how to use them. It also provides pseudo-code of the computational algorithms for these representations so that you can apply them to your own specific problems. Written by leaders in the field, this book offers the opportunity to learn from experts. Time-Frequency Representation (TFR) algorithms are simplified, enabling you to understand the complex theories behind TFRs and easily implement them. The numerous examples and figures, review of concepts, and extensive references allow for easy learning and application of the various time-frequency representations.
Book Synopsis Artificial Intelligence for Communications and Networks by : Shuai Han
Download or read book Artificial Intelligence for Communications and Networks written by Shuai Han and published by Springer. This book was released on 2019-07-04 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNICST 286-287 constitutes the post-conference proceedings of the First EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019, held in Harbin, China, in May 2019. The 93 full papers were carefully reviewed and selected from 152 submissions. The papers are organized in topical sections on artificial intelligence, mobile network, deep learning, machine learning, wireless communication, cognitive radio, internet of things, big data, communication system, pattern recognition, channel model, beamforming, signal processing, 5G, mobile management, resource management, wireless position.
Book Synopsis Time-Frequency Signal Analysis with Applications by : Ljubisa Stankovic
Download or read book Time-Frequency Signal Analysis with Applications written by Ljubisa Stankovic and published by Artech House. This book was released on 2014-05-10 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The culmination of more than twenty years of research, this authoritative resource provides you with a practical understanding of time-frequency signal analysis. The book offers in-depth coverage of critical concepts and principles, along with discussions on key applications in a wide range of signal processing areas, from communications and optics... to radar and biomedicine. Supported with over 140 illustrations and more than 1,700 equations, this detailed reference explores the topics you need to understand for your work in the field, such as Fourier analysis, linear time frequency representations, quadratic time-frequency distributions, higher order time-frequency representations, and analysis of non-stationary noisy signals. This unique book also serves as an excellent text for courses in this area, featuring numerous examples and problems at the end of each chapter. "
Book Synopsis Time-Frequency Signal Analysis and Processing by : Boualem Boashash
Download or read book Time-Frequency Signal Analysis and Processing written by Boualem Boashash and published by Academic Press. This book was released on 2015-12-11 with total page 1070 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement the engineering application systems they require. New to this edition: - New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling readers to start using the algorithms on simulated and real examples with the TFSAP toolbox, compare the results with the ones presented in the book and then insert the algorithms in their own applications and adapt them as needed. - Two new chapters and twenty three new sections, including updated references. - New topics including: efficient algorithms for optimal TFDs (with source code), the enhanced spectrogram, time-frequency modelling, more mathematical foundations, the relationships between QTFDs and Wavelet Transforms, new advanced applications such as cognitive radio, watermarking, noise reduction in the time-frequency domain, algorithms for Time-Frequency Image Processing, and Time-Frequency applications in neuroscience (new chapter). - A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals - Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics - Applications written by leading researchers showing how to use TFSAP methods
Book Synopsis Practical Time-Frequency Analysis by : Rene Carmona
Download or read book Practical Time-Frequency Analysis written by Rene Carmona and published by Academic Press. This book was released on 1998-08-27 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time frequency analysis has been the object of intense research activity in the last decade. This book gives a self-contained account of methods recently introduced to analyze mathematical functions and signals simultaneously in terms of time and frequency variables. The book gives a detailed presentation of the applications of these transforms to signal processing, emphasizing the continuous transforms and their applications to signal analysis problems, including estimation, denoising, detection, and synthesis. To help the reader perform these analyses, Practical Time-Frequency Analysis provides a set of useful tools in the form of a library of S functions, downloadable from the authors' Web sites in the United States and France. - Detailed presentation of the Wavelet and Gabor transforms - Applications to deterministic and random signal theory - Spectral analysis of nonstationary signals and processes - Numerous practical examples ranging from speech analysis to underwater acoustics, earthquake engineering, internet traffic, radar signal denoising, medical data interpretation, etc - Accompanying software and data sets, freely downloadable from the book's Web page
Book Synopsis Wireless Communication Signals by : Huseyin Arslan
Download or read book Wireless Communication Signals written by Huseyin Arslan and published by John Wiley & Sons. This book was released on 2021-03-29 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: WIRELESS COMMUNICATION SIGNALS A practical guide to wireless communication systems and concepts Wireless technologies and services have evolved significantly over the last couple of decades, and Wireless Communication Signals offers an important guide to the most recent advances in wireless communication systems and concepts grounded in a practical and laboratory perspective. Written by a noted expert on the topic, the book provides the information needed to model, simulate, test, and analyze wireless system and wireless circuits using modern instrumentation and computer aided design software. Designed as a practical resource, the book provides a clear understanding of the basic theory, software simulation, hardware test, and modeling, system component testing, software and hardware interactions and co-simulations. This important book: Provides organic and harmonized coverage of wireless communication systems Covers a range of systems from radio hardware to digital baseband signal processing Presents information on testing and measurement of wireless communication systems and subsystems Includes MATLAB file codes Written for professionals in the communications industry, technical managers, and researchers in both academia and industry. Wireless Communication Signals introduces wireless communication systems and concepts from both a practical and laboratory perspective.
Book Synopsis Practical Digital Wireless Signals by : Earl McCune
Download or read book Practical Digital Wireless Signals written by Earl McCune and published by Cambridge University Press. This book was released on 2010-02-04 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you need to know what signal type to select for a wireless application? Quickly develop a useful expertise in digital modulation with this practical guide, based on the author's experience of over thirty years in industrial design. You will understand the physical meaning behind the mathematics of wireless signals and learn the intricacies and tradeoffs in signal selection and design. Six modulation families and twelve modulation types are covered in depth, together with a quantitative ranking of relative cost incurred to implement any of twelve modulation types. Extensive discussions of the Shannon Limit, Nyquist filtering, efficiency measures and signal-to-noise measures are provided, radio wave propagation and antennas, multiple access techniques, and signal coding principles are all covered, and spread spectrum and wireless system operation requirements are presented.
Book Synopsis Echo Signal Processing by : Dennis W. Ricker
Download or read book Echo Signal Processing written by Dennis W. Ricker and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents basic and advanced topics in the areas of sig nal theory and processing as applied to acoustic echo-location (sonar). It is written at the advanced undergraduate or graduate level, and as sumes that the reader is conversant with the concepts and mathematics associated with introductory graduate courses in signal processing such as linear and complex algebra, Fourier analysis, probability, advanced calculus, and linear system theory. The material is presented in a tuto rial fashion as a logical development starting with basic principles and leading to the development of topics in detection and estimation theory, waveform design, echo modeling, scattering theory, and spatial process ing. Examples are provided throughout the book to illustrate impor tant concepts and especially important relationships are boxed. The book addresses the practical aspects of receiver and waveform design, and therefore should be of interest to the practicing engineer as well as the student. Although much of the book is applicable to the general echo-location problem that includes radar, its emphasis is on acoustic echo location especially in regard to time mapping and the wideband or wavelet description of Doppler. Introductory signal theory material is included in the first chapter to provide a foundation for the material covered in the later chapters. A consistent notational convention is ob served throughout the book so that the various mathematical entities are readily identified. This is described in the glossary and symbol list.
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1976 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt:
