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Author : Edward Joseph Kelly
Publisher :
ISBN 13 :
Total Pages : 134 pages
Book Rating : 4.:/5 (163 download)
Download or read book Adaptive Detection in Non-stationary Interference, Part I and written by Edward Joseph Kelly and published by . This book was released on 1985 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Edward Joseph Kelly
Publisher :
ISBN 13 :
Total Pages : 81 pages
Book Rating : 4.:/5 (176 download)
Download or read book Adaptive Detection in Non-stationary Interference written by Edward Joseph Kelly and published by . This book was released on 1987 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 139 pages
Book Rating : 4.:/5 (227 download)
Download or read book Adaptive Detection in Non-Stationary Interference. Part 1 and Part 2 written by and published by . This book was released on 1985 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this report, which consists of two parts, the problem of radar target detection in a background of non-stationary external interference is considered. The object of the analysis is to treat this problem from the point of view of statistical decision theory, and to derive a signal processing algorithm which accepts the totality of inputs on which final decision is to be based, and performs both interference suppression and target detection. It is assumed that the radar is provided with multiple RF input channels and that target-free samples, from range gates other than one in which a target is being sought, can be used for the estimation of the interference statistics. In Part I a general formulation is given and a likelihood ratio detection rule is derived.
Author :
Publisher :
ISBN 13 :
Total Pages : 80 pages
Book Rating : 4.:/5 (227 download)
Download or read book Adaptive Detection in Non-Stationary Interference, Part 3 written by and published by . This book was released on 1987 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis of Parts I and II of the report with this title has been extended into two directions. In the first case, the performance of an adaptive system with respect to signals arriving from directions other than the steering direction is evaluated. It is shown that these signals are reflected more strongly than would be suggested by the sidelobe levels of the adaptive patterns themselves. In the other case, the detection problem is generalized to include the detection of signals known only to lie in a subspace of the space of steering vectors. Again, performance is derived and the penalty associated with the greater uncertainty of the signal model is shown to be small. The analysis of Part I essentially repeated here, both to keep this report self-contained and to present an alternative version of the basic derivations. Keywords: Adaptive antennas; Signal to noise ratio; Maximum likelihood detection statistical hypothesis testing; Signal to noise ratio; Gaussian noise.
Author :
Publisher :
ISBN 13 :
Total Pages : 426 pages
Book Rating : 4.:/5 (319 download)
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : H. Wang
Publisher :
ISBN 13 :
Total Pages : 133 pages
Book Rating : 4.:/5 (227 download)
Download or read book On Adaptive Multiband Detection of Targets in Nonstationary Nonhomogeneous Interference written by H. Wang and published by . This book was released on 1991 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressed in this report is the problem of detecting a known signal in strong, severely non-stationary/nonhomogeneous interference of unknown statistics. Two approaches are proposed. The first one is the multiband signaling and detection scheme which makes possible a trade-off between data quantity and signal quality. Two multiband algorithms, the MultiBand Sample Matrix Inversion (MB-SMI) and Generalized Likelihood Ratio (MB-GLR) algorithms, are thus developed and shown to be able to significantly outperform the corresponding single-band algorithms, providing a potential solution to the problem which exists when the data available for learning are severely limited by the environment. To obtain the desirable CFAR feature in colored Gaussian interference at a lower computational cost, we modify the MB-SMI and obtain the MultiBand Modified-SMI (MB-MSMI) algorithm. The performance comparisons of the MB-MSMI and MB-GLR show that in Gaussian interference, the detection performance difference between the two algorithms is practically negligible and therefore, the use of the MB-GLR is unnecessary as it requires more implementation complexity. In non-Gaussian interference, however, the MB-GLR is preferable due to its much lower performance sensitivity than the MB-MSMI. To further improve the system performance, also proposed in this report is an approach which explores interference covariance structure to reduce the uncertainty in estimating unknown statistics.
Author : Paul Monticciolo
Publisher :
ISBN 13 :
Total Pages : 70 pages
Book Rating : 4.:/5 (227 download)
Download or read book Adaptive Detection in Stationary and Nonstationary Noise Environments written by Paul Monticciolo and published by . This book was released on 1994 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes the statistical performance of several radar- based adaptive detection schemes in both stationary and nonstationary noise and interference environments. The detectors under study must be able to correctly determine the presence of a target in a range gate with a high degree of probability given that the probability of misclassification is a fixed small value. The hostile noise environment is assumed to consist of possibly time- varying, spatially correlated interference along with Gaussian background noise. In a typical radar environment, the mean value of the returned radar signal and the noise covariance matrix are unknown parameters; therefore, generalized likelihood ratio test procedures were used to develop decision rules that meet the Neyman-Pearson criterion. Three major cases of interest were examined. First, the single-pulse test developed by Kelly is reviewed. The multiple-pulse return test case is extremely complicated and was divided into distinct detector forms: noncoherent and coherent. The performance of each detector is a function of the signal-to-noise ratio, the number of radar pulse returns used in the decision rule, and the quality of the covariance estimate.
Author : Angelo Coluccia
Publisher : Artech House
ISBN 13 : 1630819018
Total Pages : 235 pages
Book Rating : 4.6/5 (38 download)
Download or read book Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches written by Angelo Coluccia and published by Artech House. This book was released on 2022-11-30 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows you how to adopt data-driven techniques for the problem of radar detection, both per se and in combination with model-based approaches. In particular, the focus is on space-time adaptive target detection against a background of interference consisting of clutter, possible jammers, and noise. It is a handy, concise reference for many classic (model-based) adaptive radar detection schemes as well as the most popular machine learning techniques (including deep neural networks) and helps you identify suitable data-driven approaches for radar detection and the main related issues. You’ll learn how data-driven tools relate to, and can be coupled or hybridized with, traditional adaptive detection statistics; understand fundamental concepts, schemes, and algorithms from statistical learning, classification, and neural networks domains. The book also walks you through how these concepts and schemes have been adapted for the problem of radar detection in the literature and provides you with a methodological guide for the design, illustrating different possible strategies. You’ll be equipped to develop a unified view, under which you can exploit the new possibilities of the data-driven approach even using simulated data. This book is an excellent resource for Radar professionals and industrial researchers, postgraduate students in electrical engineering and the academic community.
Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (946 download)
Download or read book Parametric and Model Based Adaptive Detection Algorithms for Non-Gaussian Interference Backgrounds written by and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents model based adaptive signal processing methods for target detection in a background of non-Gaussian interference. Several candidate algorithms are derived and important insights pertaining to their structure are documented in this report. Performance analysis of these algorithms is discussed in some detail. It is seen that the parametric adaptive matched filter (PAMF) offers the potential for significantly improved performance in non-Gaussian interference scenarios, while leading to considerably lower secondary data support requirements compared to classical adaptive processing methods. This is due to the use of a parametric method that employs a low model order to approximate the interference spectral characteristics. Another reduced rank adaptive algorithm considered in this study is the principal component inverse (PCI) method.
Author : Francesco Bandiera
Publisher : Springer Nature
ISBN 13 : 3031025326
Total Pages : 95 pages
Book Rating : 4.0/5 (31 download)
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
Author : Keith Alan Burgess
Publisher :
ISBN 13 :
Total Pages : 450 pages
Book Rating : 4.:/5 (89 download)
Download or read book Subspace Based Adaptive Detection Using a Generalized Likelihood Ratio Test written by Keith Alan Burgess and published by . This book was released on 1994 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : R. H. Baran
Publisher :
ISBN 13 :
Total Pages : 77 pages
Book Rating : 4.:/5 (227 download)
Download or read book Adaptive Signal Detection and Other Topics in Real Time Signal Processing written by R. H. Baran and published by . This book was released on 1984 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communications receivers are commonly optimized with respect to a stationary interference source. When the interference originates in a composite source, the optimal receiver may be represented as a collection of generically similar subreceivers each one of which is optimized with respect to one of the interference subsources. Selection of the correct subreceiver is conditioned on identifying the subsource that is interfering at a given time. This selection process is controlled by a statistical demultiplexer, In the absence of real communications, when the statistical demultiplexer operates on uncorrelated noise, its function is to estimate the present state of a spectrally white, non-Gaussian, nonstationary random process. To evaluate the performance of the statistical demultiplexer, it is necessary to assert that the state of the observed process is itself a stationary (unobservable) process. Consideration is given to the case in which the unobservable is Markov. When the receiver is an isolated system that draws power from a limited reservior of energy, and messages arrive only sporadically, the statistical demultiplexer in its simplest form detects the mere presence of the message and control a switch in the power line to the main receiver subsystem. The alertness strategy embodied in this scheme can greatly extend the life-time of the system under conditions that are considered in some detail.
Author : Fredrik Gustafsson
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.3/5 (91 download)
Download or read book Adaptive Filtering and Change Detection written by Fredrik Gustafsson and published by John Wiley & Sons. This book was released on 2000-10-03 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesired elements. Change detection is another kind of adaptive filtering for non-stationary signals, and is the basic tool in fault detection and diagnosis. This text takes the unique approach that change detection is a natural extension of adaptive filtering, and the broad coverage encompasses both the mathematical tools needed for adaptive filtering and change detection and the applications of the technology. Real engineering applications covered include aircraft, automotive, communication systems, signal processing and automatic control problems. The unique integration of both theory and practical applications makes this book a valuable resource combining information otherwise only available in separate sources Comprehensive coverage includes many examples and case studies to illustrate the ideas and show what can be achieved Uniquely integrates applications to airborne, automotive and communications systems with the essential mathematical tools Accompanying Matlab toolbox available on the web illustrating the main ideas and enabling the reader to do simulations using all the figures and numerical examples featured This text would prove to be an essential reference for postgraduates and researchers studying digital signal processing as well as practising digital signal processing engineers.
Author : Jacob Benesty
Publisher : Springer Science & Business Media
ISBN 13 : 3662110288
Total Pages : 366 pages
Book Rating : 4.6/5 (621 download)
Download or read book Adaptive Signal Processing written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open.
Author : Ivan Lirkov
Publisher : Springer Science & Business Media
ISBN 13 : 3540319948
Total Pages : 701 pages
Book Rating : 4.5/5 (43 download)
Download or read book Large-Scale Scientific Computing written by Ivan Lirkov and published by Springer Science & Business Media. This book was released on 2006-02-14 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Large-Scale Scientific Computations, LSSC 2005, held in Sozopol, Bulgaria in June 2005. The 75 revised full papers presented together with five invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections.
Author : KVS Ramachandra Murthy
Publisher : IOS Press
ISBN 13 : 1643683616
Total Pages : 746 pages
Book Rating : 4.6/5 (436 download)
Download or read book Recent Developments in Electronics and Communication Systems written by KVS Ramachandra Murthy and published by IOS Press. This book was released on 2023-01-31 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: Often, no single field or expert has all the information necessary to solve complex problems, and this is no less true in the fields of electronics and communications systems. Transdisciplinary engineering solutions can address issues arising when a solution is not evident during the initial development stages in the multidisciplinary area. This book presents the proceedings of RDECS-2022, the 1st international conference on Recent Developments in Electronics and Communication Systems, held on 22 and 23 July 2022 at Aditya Engineering College, Surampalem, India. The primary goal of RDECS-2022 was to challenge existing ideas and encourage interaction between academia and industry to promote the sort of collaborative activities involving scientists, engineers, professionals, researchers, and students that play a major role in almost all fields of scientific growth. The conference also aimed to provide an arena for showcasing advancements and research endeavors being undertaken in all parts of the world. A large number of technical papers with rich content, describing ground-breaking research from participants from various institutes, were submitted for presentation at the conference. This book presents 108 of these papers, which cover a wide range of topics ranging from cloud computing to disease forecasting and from weather reporting to the detection of fake news. Offering a fascinating overview of recent research and developments in electronics and communications systems, the book will be of interest to all those working in the field.
Author : Sandip Bose
Publisher :
ISBN 13 :
Total Pages : 196 pages
Book Rating : 4.E/5 ( download)
Download or read book Invariant Hypothesis Testing with Sensor Arrays written by Sandip Bose and published by . This book was released on 1995 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
