Download or read book The Impact of Cognition on Radar Technology written by Alfonso Farina and published by . This book was released on 2017 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The following topics are dealt with: cognitive radar; CFAR detection; receiver adaptation; cognitive optimization; transmitter-receiver pair; radar target tracking; MIMO radar; electronic warfare and synthetic aperture radar.
Download or read book The Impact of Cognition on Radar Technology written by Alfonso Farina and published by SciTech Publishing. This book was released on 2017 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive dynamic systems are inspired by the computational capability of the brain and the viewpoint that cognition is a supreme form of computation. The key idea behind this new paradigm is to mimic the human brain as well as that of other mammals with echolocation capabilities which continuously learn and react to stimulations according to four basic processes: perception-action cycle, memory, attention, and intelligence. The Impact of Cognition on Radar Technology is an essential exploration of the application of cognitive concepts in the development of modern phased array radar systems for surveillance. It starts by asking whether our current radar systems already have cognitive capabilities and then discusses topics including: mimicking the visual brain; applications to CFAR detection and receiver adaptation; cognitive radar waveform design for spectral compatibility; cognitive optimization of the transmitter-receiver pair; theory and application of cognitive control; cognition in radar target tracking; anticipative target tracking; cognition in MIMO radar, electronic warfare, and synthetic aperture radar. The book concludes with a cross-disciplinary review of cognition studies with potential lessons for radar systems.
Download or read book Cognitive Radar The Knowledge Aided Fully Adaptive Approach Second Edition written by Joseph R. Guerci and published by Artech House. This book was released on 2020-06-30 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly-anticipated second edition of the bestselling Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach, the first book on the subject, provides up-to-the-minute advances in the field of cognitive radar (CR). Adaptive waveform methods are discussed in detail, along with optimum resource allocation and radar scheduling. Chronicling the field of cognitive radar (CR), this cutting-edge resource provides an accessible introduction to the theory and applications of CR, and presents a comprehensive overview of the latest developments in this emerging area. It covers important breakthroughs in advanced radar systems, and offers new and powerful methods for combating difficult clutter environments. You find details on specific algorithmic and real-time high-performance embedded computing (HPEC) architectures. This practical book is supported with numerous examples that clarify key topics, and includes more than 370 equations.
Download or read book Cognitive Radar written by Yanbo Xue and published by . This book was released on 2010 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over six decades, the theory and design of radar systems have been dominated by probability theory and statistics, information theory, signal processing and control. However, the similar encoding-decoding property that exists between the visual brain and radar has been sadly overlooked in all radar systems. This thesis lays down the foundation of a new generation of radar systems, namely cognitive radar, that was described in a 2006 seminal paper by Haykin. Four essential elements of cognitive radar are Bayesian filtering in the receiver, dynamic programming in the transmitter, memory, and global feedback to facilitate computational intelligence. All these elements excluding the memory compose a well known property of mammalian cortex, the perception-action cycle. As such, the cognitive radar that has only this cycle is named as the basic cognitive radar (BCR). For tracking applications, this thesis presents the underlying theory of BCR, with emphasis being placed on the cubature Kalman filter to approximate the Bayesian filter in the receiver, dynamic optimization for transmit-waveform selection in the transmitter, and global feedback embodying the transmitter, the radar environment, and the receiver all under one overall feedback loop. Built on the knowledge learnt from the BCR, this thesis expands the basic perception-action cycle to encompass three more properties of human cognition, that is, memory, attention, and intelligence. Specifically, the provision for memory includes the three essential elements, i.e., the perceptual memory, executive memory, and coordinating perception-action memory that couples the first two memories. Provision of the three memories adds an advanced version of cognitive radar, namely the nested cognitive radar (NCR) in light of the nesting of three memories in the perception-action cycle. In this thesis, extensive computer simulations are also conducted to demonstrate the ability of this new radar concept over a conventional radar structure. Three important scenarios of tracking applications are considered, they are (a), linear target tracking; (b), falling object tracking; and (c), high-dimensional target tracking with continuous-discrete model. All simulation results confirm that cognitive radar outperforms the conventional radar systems significantly. In conducting the simulations, an interesting phenomenon is also observed, which is named the chattering effect . The underlying physics and mathematical model of this effect are discussed. For the purpose of studying the behaviour of cognitive radar in disturbance, demonstrative experiments are further conducted. Simulation results indicate the superiority of NCR over BCR and the conventional radar in low, moderate and even strong disturbance.
Download or read book Cognitive Radar written by J. R. Guerci and published by Artech House. This book was released on 2010 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chronicling the new field of cognitive radar (CR), this cutting-edge resource provides an accessible introduction to the theory and applications of CR, and presents a comprehensive overview of the latest developments in this emerging area. The first book on the subject, Cognitive Radar covers important breakthroughs in advanced radar systems, and offers new and powerful methods for combating difficult clutter environments. You find details on specific algorithmic and real-time high-performance embedded computing (HPEC) architectures. This practical book is supported with numerous examples that clarify key topics, and includes more than 370 equations.
Download or read book Compressed Sensing in Radar Signal Processing written by Antonio De Maio and published by Cambridge University Press. This book was released on 2019-10-17 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about the latest theoretical and practical advances in radar signal processing using tools from compressive sensing.
Download or read book An Experimental Investigation of Cognitive Radar written by Colin Phillip Horne and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cognitive Radar Systems Design written by Yogesh Nijsure and published by LAP Lambert Academic Publishing. This book was released on 2014-03 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, several emerging technologies in modern radar system design are attracting the attention of radar researchers and practitioners alike, noteworthy among which are multiple-input multiple-output(MIMO), ultra wideband (UWB) and joint communication-radar technologies. This book, in particular focuses upon a cognitive approach to design these modern radars. In the existing literature, these technologies have been implemented on a traditional platform in which the transmitter and receiver subsystems are discrete and do not exchange vital radar scene information. Although such radar architectures benefit from these mentioned technological advances, their performance remains sub-optimal due to the lack of exchange of dynamic radar scene information between the subsystems. Consequently, such systems are not capable to adapt their operational parameters "on the fly," which is in accordance with the dynamic radar environment. This book explores the research gap of evaluating cognitive mechanisms, which could enable modern radars to adapt their operational parameters like waveform, power and spectrum by continually learning about the radar scene.
Download or read book Selected papers from the 2019 IEEE International Workshop on Metrology for AeroSpace written by Pasquale Daponte and published by MDPI. This book was released on 2021-04-21 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to recent developments of instrumentation and measurement techniques applied to the aerospace field. It includes 23 selected papers from the 2019 IEEE International Workshop on Metrology for AeroSpace. Measurements are essential for obtaining a deeper knowledge of a phenomenon or an asset, as well as for making proper decisions and proposing new and efficient solutions, and this is especially true in environments as complex as aerospace. The research contributions included in the book can raise the interest of a wide group of researchers, operators and decision-makers from metrology and aerospace fields by presenting the most innovative solutions in this field from the scientific and technological points of view.
Download or read book Cognitive Dynamic Systems written by Simon Haykin and published by Cambridge University Press. This book was released on 2012-03-22 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking book from Simon Haykin, setting out the fundamental ideas and highlighting a range of future research directions.
Download or read book Cognitive Radar Network Design and Applications written by Yogesh Anil Nijsure and published by . This book was released on 2012 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Next Generation Cognitive Radar Systems written by Kumar Vijay Mishra and published by SciTech Publishing. This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together contributions from leading researchers who are engaged in the research and development of next generation cognitive abilities in radar engineering. It features recent advances in the theory and applications of advanced Cognitive Radar (CR) tools as well as examines emerging challenges. The chapters include mathematical and computational methods to combat important CR challenges as well as the applications of recent theories and algorithms to various applied CR aspects. The book is intended to be used as a supplementary text for first-level graduate courses on radar theory and systems, radar signal processing, detection and estimation theory, and array signal processing. The book can also be used as a main textbook for upper-level graduate courses such as advanced topics in electromagnetics, advanced topics in radar, rf and communications, and contemporary topics in signal processing and optimization.
Download or read book Cognitive Radar Detection in Nonstationary Environments and Target Tracking written by Yijian Xiang and published by . This book was released on 2020 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Target detection and tracking are the most fundamental and important problems in a wide variety of defense and civilian radar systems. In recent years, to cope with complex environments and stealthy targets, the concept of cognitive radars has been proposed to integrate intelligent modules into conventional radar systems. To achieve better performance, cognitive radars are designed to sense, learn from, and adapt to environments. In this dissertation, we introduce cognitive radars for target detection in nonstationary environments and cognitive radar networks for target tracking.For target detection, many algorithms in the literature assume a stationary environment (clutter). However, in practical scenarios, changes in the nonstationary environment can perturb the parameters of the clutter distribution or even alter the clutter distribution family, which can greatly deteriorate the target detection capability. To avoid such potential performance degradation, cognitive radar systems are envisioned which can rapidly recognize the nonstationarity, accurately learn the new characteristics of the environment, and adaptively update the detector. To achieve this cognition, we propose a unifying framework that integrates three functions: (i) change-point detection of clutter distributions by using a data-driven cumulative sum (CUSUM) algorithm and its extended version, (ii) learning/identification of clutter distribution by using kernel density estimation (KDE) methods and similarity measures (iii) adaptive target detection by automatically modifying the likelihood-ratio test and the corresponding detection threshold. We also conduct extensive numerical experiments to show the merits of the proposed method compared to a nonadaptive case, an adaptive matched filter (AMF) method, and the clairvoyant case.For target tracking, with remarkable advances in sensor techniques and deployable platforms, a sensing system has freedom to select a subset of available radars, plan their trajectories, and transmit designed waveforms. Accordingly, we propose a general framework for single target tracking in cognitive networks of radars, including joint consideration of waveform design, path planning, and radar selection. We formulate the tracking procedure using the theories of dynamic graphical models (DGM) and recursive Bayesian state estimation (RBSE). This procedure includes two iterative steps: (i) solving a combinatorial optimization problem to select the optimal subset of radars, waveforms, and locations for the next tracking instant, and (ii) acquiring the recursive Bayesian state estimation to accurately track the target. Further, we use an illustrative example to introduce a specific scenario in 2-D space. Simulation results based on this scenario demonstrate that the proposed framework can accurately track the target under the management of a network of radars.
Download or read book Advanced Signal Processing Techniques for Cognitive Radar Systems written by Ahmed Abdou Abouelfadl Mohamed Abdalla and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This thesis introduces novel signal processing algorithms for cognitive radar systems that consider the constraints of operation under real scenarios as well as hardware limitations. Specifically, the thesis focuses on the analysis and practical solution of three key problems encountered in the design and realization of the signal processing chain within the cognitive new-generation radars. Firstly, we consider detecting and excluding the non-homogeneous received data from the estimation of the interference covariance matrix. The available non-homogeneity detectors (NHDs) in the literature require estimating the covariance matrix for each examined data cell, leading to exacerbating the NHD complexity, especially with large-dimensional data. Instead, we employ the projection depth functions, inherited from the field of robust statistics, to formulate a new NHD test statistic that avoids estimating the covariance matrix. Moreover, the projection depth function converts the multivariate problem to a scalar one, evading the exponential growth of the computational complexity with the data dimension.\par Secondly, we turn our attention to a scarcely but nevertheless important discussed aspect of radar system, namely the waveform design for cognitive multi-input multi-output (MIMO) radars taking into account the reflective properties of the transmitting antenna array. For the first time, we propose a waveform design method using proximal optimization that not only improves the signal-to-interference plus noise ratio (SINR), but also lowers the reflected power from the transmitting antenna array. Consequently, the proposed waveform design method increases the radar system efficiency and protects the amplification unit of the transmitter, while at the same time, significantly improves the SINR. Finally, we introduce a novel formulation of the target frequency response (TFR) estimation problem, a crucial requirement for cognitive radars. Under the conventional assumption of a linear Gaussian model, the TFR is usually estimated using the Kalman filter. Surprisingly, even though in practice this assumption is often violated and the Kalman filter is no longer an optimal solution, the study of TFR estimation for more general models has not yet been considered. In our proposed formulation, the infinite hidden Markov model (iHMM) is used in TFR estimation without prior knowledge of the channel or the interference. Interestingly, when iterated over multiple pulses and under jamming conditions, the proposed estimation method exhibits superior performance compared to the Kalman and particle filters for different TFR models. Throughout the thesis, the newly proposed algorithms are evaluated by objective Monte Carlo simulations with different clutter distributions and radar parameters. Under the considered evaluation conditions, the results clearly show that the proposed methods can provide superior performance to existing benchmarks from the literature"--
Download or read book Emerging and Future Computing Paradigms and Their Impact on the Research Training and Design Environments of the Aerospace Workforce written by and published by . This book was released on 2003 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cognitive Satellite System written by Jianjun Zhang and published by World Scientific. This book was released on 2020-07-17 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can cognition, a concept traditionally associated with the human brain, be applied to satellite systems? For the first time, cognitive system meanings and models are applied to the uncertain environmental processes of satellite systems. The authors of this book go beyond defining 'cognitive satellite systems' to design a cognitive satellite communication system architecture with satellite-to-ground coordination, which has uses in emergency response spacecraft and prediction technology.In this book, the optimal utilization of cognitive satellite system resources is discussed in four aspects:
Download or read book Cognition enabling Techniques for Next generation Radar and Electronic Warfare Systems written by Muharrem Arık and published by . This book was released on 2019 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt:
