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Author: Jian Wang (Ph. D.)
Publisher:
ISBN:
Category :
Languages : en
Pages :
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The detection and tracking of small slow moving targets by High Frequency Surface Wave radar are limited by the presence of a dominate sea clutter spectrum. The ocean surface behaves as a distributed source in contrast to targets that are point sources. It is shown that by mapping data to eigenspaces, the sea clutter level decreases due to its nondeterministic behaviour while point targets' levels remain unchanged. The high resolution (subspace-based or eigenspace) methods and frequency tracking method for slowly time varying frequencies are evaluated to suppress this sea clutter to enhance detection of weak signals. Experimental results verify the advantage of subspace-based methods over the traditional processing techniques. Conventional subspace methods can be utilized to enhance the detection, but they deteriorate dramatically in the presence of correlated sea clutter. In our thesis some adaptive sea clutter pre-filtering schemes are introduced which improve the threshold and accuracy of subsequent subspace methods. Both simulated and real ship targets are used to verify the effectiveness of our proposed method. Furthermore, we propose another novel subspace algorithm to estimate the directions of arrival of superimposed cisoidal radar echoes from far-field targets in the radar pulse domain. The improvement provided by this algorithm is based on the use of a state space model that more accurately represents the received Doppler radar array signal prior to spatial processing such as MUSIC. A 2-d (spatial and temporal) pre-filtering matrix is structured and applied to the received array signal, which is finally combined with the high-resolution (MUSIC) method for DOA estimation. Lower resolution threshold and estimation variance are achieved by this algorithm compared to conventional beam-space MUSIC and sensor-space MUSIC. A simplified theoretical resolution threshold is derived, and both the theory and simulations verify the effectiveness of our proposed algorithm. Results from an experiment using a simulated target superimposed on real HF radar sea clutter also confirm the algorithm.
Author: Jian Wang (Ph. D.)
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The detection and tracking of small slow moving targets by High Frequency Surface Wave radar are limited by the presence of a dominate sea clutter spectrum. The ocean surface behaves as a distributed source in contrast to targets that are point sources. It is shown that by mapping data to eigenspaces, the sea clutter level decreases due to its nondeterministic behaviour while point targets' levels remain unchanged. The high resolution (subspace-based or eigenspace) methods and frequency tracking method for slowly time varying frequencies are evaluated to suppress this sea clutter to enhance detection of weak signals. Experimental results verify the advantage of subspace-based methods over the traditional processing techniques. Conventional subspace methods can be utilized to enhance the detection, but they deteriorate dramatically in the presence of correlated sea clutter. In our thesis some adaptive sea clutter pre-filtering schemes are introduced which improve the threshold and accuracy of subsequent subspace methods. Both simulated and real ship targets are used to verify the effectiveness of our proposed method. Furthermore, we propose another novel subspace algorithm to estimate the directions of arrival of superimposed cisoidal radar echoes from far-field targets in the radar pulse domain. The improvement provided by this algorithm is based on the use of a state space model that more accurately represents the received Doppler radar array signal prior to spatial processing such as MUSIC. A 2-d (spatial and temporal) pre-filtering matrix is structured and applied to the received array signal, which is finally combined with the high-resolution (MUSIC) method for DOA estimation. Lower resolution threshold and estimation variance are achieved by this algorithm compared to conventional beam-space MUSIC and sensor-space MUSIC. A simplified theoretical resolution threshold is derived, and both the theory and simulations verify the effectiveness of our proposed algorithm. Results from an experiment using a simulated target superimposed on real HF radar sea clutter also confirm the algorithm.
Author: Ahmed Saleh Amein
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Donald R. Wehner
Publisher: Artech House on Demand
ISBN: 9780890067277
Category : Technology & Engineering
Languages : en
Pages : 593
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Book Description
Using this updated, second edition version of the original radar reference, state-of-the-art radar can be designed for consumer, military and commercial applications. With over 25 percent new material, this reference describes the basic theory and design tools needed to develop, design and analyze high-resolution radar systems, subsystems, components and processing method. The text features convenient, one-volume coverage of radar systems that perform target imaging, surface mapping and conventional surveillance functions.
Author:
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ISBN:
Category :
Languages : en
Pages : 48
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This report results from a contract tasking University of Pisa as follows: The research is divided in two phases. In the first phase, we consider modeling and estimating the characteristic parameters of high resolution non-Gaussian sea clutter. We will investigate specifically nonstationarity and possible non-Gaussianity of the clutter on long period of time, by applying nonhomogeneity tests and spectral analysis to highlight the temporal changes of the clutter process. The analyses of high resolution clutter will be performed by processing complex clutter data collected in November 1993 and in winter 1998 with the high resolution IPIX radar, provided by McMaster University, at a range resolution of 60 m, 30 m, 15 m, 9 m, and 3 m, in like- (HH-VV) and crosspolarizations (HV-VH) An accurate characterization of the high resolution radar clutter allows a more adequate design of the radar detector of targets. This detector needs to be adaptive to the data and should have the ability to comply with the non-homogeneous nature of the clutter interference. This aspect of the problem will be discussed in the second phase of this study. A detailed analysis of the impact of the nonstationarity of the clutter will be performed first analytically (where possible) and by means of simulations; then we will use the real recorded data to feed adaptive detectors, designed for stationary Gaussian and non-Gaussian clutter, and we will compare theoretical and simulated performance with real data performance.
Author: Daniel Meyers
Publisher: Elsevier
ISBN: 0323147534
Category : Technology & Engineering
Languages : en
Pages : 513
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Book Description
Radar Target Detection: Handbook of Theory and Practice covers a set of graphical solutions to the detection problem, designated as Meyer Plots, for radar systems design. A radar system's major purpose is the detection and location of an object by means of a return signal, which could be either a reflection or a beacon. This book is composed of four chapters. Chapter 1 presents the basic radar range equation, which is the basic relationship which permits the calculation of echo signal strength from measurable or known parameters of the radar transmitter, antenna, propagation path, and target. Chapter 2 provides examples for determining statistical signal detection using Meyer Plots, particularly for determining detection probability and integration loss and efficiency. Chapter 3 describes the application of target models to determination of detection probability. Chapter 4 examines how Meyer Plots can be used to solve problems involving most any target model.
Author:
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ISBN:
Category :
Languages : en
Pages :
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Author: Stephen L. Johnston
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 686
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Author: A.J. Tallón-Ballesteros
Publisher: IOS Press
ISBN: 1643683691
Category : Computers
Languages : en
Pages : 696
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Book Description
Electronics, communication and networks coexist, and it is not possible to conceive of our current society without them. Within the next decade we will probably see the consolidation of 6G-based technology, accompanied by many compatible devices, and fiber-optic is already an advanced technology with many applications. This book presents the proceedings of CECNet 2022, the 12th International Conference on Electronics, Communications and Networks, held as a virtual event with no face-to-face participation in Xiamen, China, from 4 to 7 November 2022. CECNet is held annually, and covers many interrelated groups of topics such as electronics technology, communication engineering and technology, wireless communications engineering and technology and computer engineering and technology. This year the conference committee received 313 submissions. All papers were carefully reviewed by program committee members, taking into consideration the breadth and depth of research topics falling within the scope of the conference, and after further discussion, 79 papers were selected for presentation at the conference and for publication in this book. This represents an acceptance rate of about 25%. The book offers an overview of the latest research and developments in these rapidly evolving fields, and will be of interest to all those working with electronics, communication and networks.
Author: Antonio De Maio
Publisher: Cambridge University Press
ISBN: 110857694X
Category : Technology & Engineering
Languages : en
Pages : 381
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Book Description
Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 994
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