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Strategies For Radar Communication Spectrum Sharing


Strategies For Radar Communication Spectrum Sharing
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Strategies For Radar Communication Spectrum Sharing


Strategies For Radar Communication Spectrum Sharing
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Author : Ammar Ahmed
language : en
Publisher:
Release Date : 2021

Strategies For Radar Communication Spectrum Sharing written by Ammar Ahmed and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


Spectrum sharing has become increasingly important since the past decade due to the ongoing congestion of spectral resources. Higher data rates in wireless communications require expansion of existing frequency allocations. Significant research efforts have been made in the direction of cognitive radio to effectively manage the existing frequency usage. Recently, coexistence of multiple platforms within the same frequency bands is considered effective to mitigate spectral congestion. This requires both systems to work collaboratively to mitigate their mutual interference. This challenging problem can be significantly simplified if both systems are controlled by the same entity. Joint radar-communication (JRC) system is such an example where radar and communication system objectives are achieved by the same physical platform. In this dissertation, we consider three different types of JRC systems. These JRC systems respectively exploit a single transmit antenna, an antenna array for beamforming, and a distributed JRC network, and develop novel signal processing techniques to optimize the performance of these systems. Special attention is given to the resource optimization objectives and numerous resource allocation schemes are developed and investigated. First, we consider a single transmit antenna-based JRC system which exploits dual-purpose transmit orthogonal frequency division multiplexing (OFDM) waveforms to perform radar and communication objectives simultaneously. We optimize the power allocation of the OFDM subcarriers based on the frequency-sensitive target response and communication channel characteristics. For this purpose, we employ mutual information as the optimization metric. In the simulation examples considered for this system, we observed that the JRC system enjoys approximately 20\% improvement in the performance of communication subsystem with a mere 5\% reduction in radar subsystem performance. Second, we propose a quadratic amplitude modulation (QAM) based sidelobe modulation scheme for beamforming-based JRC systems which enhances the communication data rate by enabling a novel multiple access strategy. The main principle of this proposed strategy lies in enabling the beamformer to transmit signals with distinct amplitudes and phases in different directions. We also investigate optimal power allocation for such a spectrum sharing approach by employing a spatial power control-based beamforming approach. Furthermore, the robustness of these beamforming-based JRC systems is improved using chance constrained programming. In this context, we observe that the chance constrained optimization can be relaxed to form a deterministic and convex problem by employing the statistical profile of the communication channels. When dealing with JRC systems that are equipped with more antennas than the number of radio frequency chains, we perform the resource optimization in terms of minimized power usage and optimal selection of antennas resulting in an efficient utilization of hardware up-conversion chains. In the simulation examples considered for these schemes, we observe that, even with a reduction of nearly 30\% of the transmit antennas, the beamforming-based JRC system is able to perform the required radar and communication tasks without any disadvantage. Our last contribution is on a distributed JRC system, which is the first effort in this research direction, enabling spectrum sharing for networked radar systems coexisting with the communication systems. We devise a power allocation strategy for such a system by employing convex optimization techniques. In this strategy, the target localization error and the Shannon capacity are respectively considered as the optimization criteria for radar and communication systems. For the simulation example considered in this case, we observe that the proposed resource allocation strategy achieves a communication performance that was approximately 5 times greater than that achieved by the radar-only counterpart. Moreover, the target localization performance achieved by the JRC system using the proposed approach was approximately 4 times better than the performance achieved by the communication-only approach.



Radar And Communication Spectrum Sharing


Radar And Communication Spectrum Sharing
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Author : Shannon D. Blunt
language : en
Publisher: SciTech Publishing
Release Date : 2018-10

Radar And Communication Spectrum Sharing written by Shannon D. Blunt and has been published by SciTech Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10 with Technology & Engineering categories.


Radar and Communication Spectrum Sharing addresses the growing conflict over use of the radio-frequency spectrum by different systems, such as civil and security applications of radar and consumer use for wireless communications. The increasing demand for this finite resource is driving innovation into new ways in which these diverse systems can cohabit the spectrum. The book provides a broad survey of recent and ongoing work on the topic of spectrum sharing, with an emphasis on identifying the technology gaps for practical realization and the regulatory and measurement compliance aspects of this problem space. The introductory section sets the scene, making the case for spectrum access and reviewing spectrum use, congestion, lessons learned, ways forward and research areas. The book then covers system engineering perspectives, the issues involved with addressing interference, and radar/communication co-design strategies. With contributions from an international panel of experts, this book is essential reading for researchers, engineers and advanced students in radar, communications, navigation, and electronic warfare whose work is impacted by spectrum engineering requirements.



Spectrum Sharing Between Radars And Communication Systems


Spectrum Sharing Between Radars And Communication Systems
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Author : Awais Khawar
language : en
Publisher: Springer
Release Date : 2017-06-12

Spectrum Sharing Between Radars And Communication Systems written by Awais Khawar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-12 with Technology & Engineering categories.


This book presents spectrum sharing efforts between cellular systems and radars. The book addresses coexistence algorithms for radar and communication systems. Topics include radar and cellular system models; spectrum sharing with small radar systems; spectrum sharing with large radar systems; radar spectrum sharing with coordinated multipoint systems (CoMP); and spectrum sharing with overlapped MIMO radars. The primary audience is the radar and wireless communication community, specifically people in industry, academia, and research whose focus is on spectrum sharing. The topics are of interest for both communication and signal processing technical groups. In addition, students can use MATLAB code to enhance their learning experience.



Real Time Spectral Prediction And Metacognition For Spectrum Sharing Radar


Real Time Spectral Prediction And Metacognition For Spectrum Sharing Radar
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Author : Jacob Kovarskiy
language : en
Publisher:
Release Date : 2021

Real Time Spectral Prediction And Metacognition For Spectrum Sharing Radar written by Jacob Kovarskiy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


The growing demand for radio frequency (RF) spectrum access poses new challenges for next-generation radar systems. Recent Federal Communications Commission (FCC) policies permit wireless communication networks to share the spectrum with incumbent radar systems. To operate in a crowded electromagnetic environment, radars must coexist with other RF emitters while maintaining system performance. The concept of cognitive RF provides robust and innovative solutions to efficiently share and build awareness of the spectrum. Cognition is actualized by the perception-action cycle (PAC) which iteratively senses RF interference (RFI), learns RFI behavior over time, and adapts the radar's frequency band of operation. New developments in software defined radio (SDR) technology have enabled complex cognitive systems to be realized on hardware in real-time. This work 1) presents a cognitive spectrum sharing implementation based on spectral prediction, 2) compares this implementation against radars employing alternative cognitive strategies, and 3) introduces a metacognition architecture to optimize a radar's cognitive strategy with respect to the environment. The spectral prediction approach enables the radar to learn a stochastic model describing RF activity. Using this model, the radar adapts waveform parameters in anticipation of changes in the spectrum. Spectral prediction is demonstrated in conjunction with pulsed linear frequency modulated chirp waveforms as well as notched noise waveforms for coexistence. Additionally, this predictive implementation is compared to reactive and reinforcement learning-based spectrum sharing strategies. Experiments demonstrate that these different cognitive strategies are well suited to particular RFI scenarios. This indicates a need for radars to intelligently adapt cognitive strategies in changing environments. The bio-inspired concept of metacognition provides a framework for cognitive radar to achieve this via self-monitoring and regulation of the PAC. Here, we describe an algorithm selection process aided by metacognition theory. To demonstrate the efficacy of spectral prediction and metacognition for radar, real-time SDR implementations are evaluated. A comprehensive set of synthetic RFI, emulated long-term evolution (LTE) RFI, and real measured RFI scenarios are used to characterize performance. These experiments measure the impact of RFI on radar processing and assess the relative performance improvements due to spectrum sharing. In measuring performance, a metric to characterize target detection quality is proposed based on the Jensen-Shannon divergence. Overall, this work presents a state-of-the-art review for cognitive RF, describes the theoretical background for each approach, details a real-time implementation for both predictive and metacognitive frameworks, and evaluates the performance of these implementations in a variety of RFI scenarios.



Signal Processing For Joint Radar Communications


Signal Processing For Joint Radar Communications
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Author : Kumar Vijay Mishra
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-09

Signal Processing For Joint Radar Communications written by Kumar Vijay Mishra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Technology & Engineering categories.


Signal Processing for Joint Radar Communications A one-stop, comprehensive source for the latest research in joint radar communications In Signal Processing for Joint Radar Communications, four eminent electrical engineers deliver a practical and informative contribution to the diffusion of newly developed joint radar communications (JRC) tools into the sensing and communications communities. This book illustrates recent successes in applying modern signal processing theories to core problems in JRC. The book offers new results on algorithms and applications of JRC from diverse perspectives, including waveform design, physical layer processing, privacy, security, hardware prototyping, resource allocation, and sampling theory. The distinguished editors bring together contributions from more than 40 leading JRC researchers working on remote sensing, electromagnetics, optimization, signal processing, and beyond 5G wireless networks. The included resources provide an in-depth mathematical treatment of relevant signal processing tools and computational methods allowing readers to take full advantage of JRC systems. Readers will also find: Thorough introductions to fundamental limits and background on JRC theory and applications, including dual-function radar communications, cooperative JRC, distributed JRC, and passive JRC Comprehensive explorations of JRC processing via waveform analyses, interference mitigation, and modeling with jamming and clutter Practical discussions of information-theoretic, optimization, and networking aspects of JRC In-depth examinations of JRC applications in cutting-edge scenarios including automotive systems, intelligent reflecting surfaces, and secure parameter estimation Perfect for researchers and professionals in the fields of radar, signal processing, communications, information theory, networking, and electronic warfare, Signal Processing for Joint Radar Communications will also earn a place in the libraries of engineers working in the defense, aerospace, wireless communications, and automotive industries.



Mimo Radar Waveform Design For Spectrum Sharing With Cellular Systems


Mimo Radar Waveform Design For Spectrum Sharing With Cellular Systems
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Author : Awais Khawar
language : en
Publisher: Springer
Release Date : 2016-02-13

Mimo Radar Waveform Design For Spectrum Sharing With Cellular Systems written by Awais Khawar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-13 with Technology & Engineering categories.


This book discusses spectrum sharing between cellular systems and radars. The book addresses a novel way to design radar waveforms that can enable spectrum sharing between radars and communication systems, without causing interference to communication systems, and at the same time achieving radar objectives of target detection, estimation, and tracking. The book includes a MATLAB-based approach, which provides reader with a way to learn, experiment, compare, and build on top of existing algorithms.



A Strategy For Active Remote Sensing Amid Increased Demand For Radio Spectrum


A Strategy For Active Remote Sensing Amid Increased Demand For Radio Spectrum
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2015-09-21

A Strategy For Active Remote Sensing Amid Increased Demand For Radio Spectrum written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-21 with Science categories.


Active remote sensing is the principal tool used to study and to predict short- and long-term changes in the environment of Earth - the atmosphere, the oceans and the land surfaces - as well as the near space environment of Earth. All of these measurements are essential to understanding terrestrial weather, climate change, space weather hazards, and threats from asteroids. Active remote sensing measurements are of inestimable benefit to society, as we pursue the development of a technological civilization that is economically viable, and seek to maintain the quality of our life. A Strategy for Active Remote Sensing Amid Increased Demand for Spectrum describes the threats, both current and future, to the effective use of the electromagnetic spectrum required for active remote sensing. This report offers specific recommendations for protecting and making effective use of the spectrum required for active remote sensing.



Advanced Signal Processing Solutions For Atr And Spectrum Sharing In Distributed Radar Systems


Advanced Signal Processing Solutions For Atr And Spectrum Sharing In Distributed Radar Systems
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Author : Domenico Gaglione
language : en
Publisher:
Release Date : 2017

Advanced Signal Processing Solutions For Atr And Spectrum Sharing In Distributed Radar Systems written by Domenico Gaglione and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.




Implementation Of Cognitive Software Defined Radar With Range Doppler Processing And Pulse Agility For Spectrum Sharing


Implementation Of Cognitive Software Defined Radar With Range Doppler Processing And Pulse Agility For Spectrum Sharing
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Author : Benjamin Kirk
language : en
Publisher:
Release Date : 2021

Implementation Of Cognitive Software Defined Radar With Range Doppler Processing And Pulse Agility For Spectrum Sharing written by Benjamin Kirk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


The radio frequency (RF) spectrum continues to become a more valuable resource as RF systems advance their capability and desire access to larger bandwidths. The increasing use of wireless devices and the need for low-latency, high-throughput connectivity has resulted in spectrum sell-offs to enable this technology. As a result, the RF spectrum is more congested than ever, and other RF systems such as radar must share their frequency bands in order to prevent loss of access. This dissertation presents the design, development, and verification of a radar that utilizes commercial off-the-shelf (COTS) software-defined radio (SDR) technology. The software defined radar (SDRadar) implements real-time radar range- Doppler (RD) signal processing integrated with dynamic spectrum access (DSA) for spectrum sharing (SS). It is shown that this implementation of DSA allows the SDRadar to share an RF band with communications signals while minimizing mutual interference between the systems that would otherwise degrade performance. The successful coexistence is verified by measuring target detection performance for the SDRadar and collisions of the radar signal and communications signal. Accurate SS requires the SDRadar to adjust center frequency (CF) and bandwidth (BW) pulse-to-pulse. It was observed that while this pulse-agility minimized mutual interference, the intra-coherent processing interval (CPI) pulse adaptation created significant modulation / distortion in the Doppler dimension of the RD image. This is shown to have an adverse effect on the ability of the radar to separate clutter from targets and a general degradation of target detectability. A unique approach taken from the field of optics and image processing is applied to solve this problem. The Richardson-Lucy deconvolution (RLD) is used to restore the RD image by refocusing the modulation of clutter and target energy. An over-the-air experiment is designed and conducted to verify the capability of the SDRadar system in a realistic environment. This experiment has the SDRadar share an RF band with a 4G LTE uplink signal while attempting to maintain detection to as large a range as possible for a target moving away from the radar. The results of this experiment show that the SDRadar is capable of achieving similar target detection performance while sharing the spectrum with the communications signal to the ideal case where the radar is the only signal in the RF band of operation.



Spectrum Sharing


Spectrum Sharing
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Author : Constantinos B. Papadias
language : en
Publisher: John Wiley & Sons
Release Date : 2020-03-13

Spectrum Sharing written by Constantinos B. Papadias and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-13 with Technology & Engineering categories.


Combines the latest trends in spectrum sharing, both from a research and a standards/regulation/experimental standpoint Written by noted professionals from academia, industry, and research labs, this unique book provides a comprehensive treatment of the principles and architectures for spectrum sharing in order to help with the existing and future spectrum crunch issues. It presents readers with the most current standardization trends, including CEPT / CEE, eLSA, CBRS, MulteFire, LTE-Unlicensed (LTE-U), LTE WLAN integration with Internet Protocol security tunnel (LWIP), and LTE/Wi-Fi aggregation (LWA), and offers substantial trials and experimental results, as well as system-level performance evaluation results. The book also includes a chapter focusing on spectrum policy reinforcement and another on the economics of spectrum sharing. Beginning with the historic form of cognitive radio, Spectrum Sharing: The Next Frontier in Wireless Networks continues with current standardized forms of spectrum sharing, and reviews all of the technical ingredients that may arise in spectrum sharing approaches. It also looks at policy and implementation aspects and ponders the future of the field. White spaces and data base-assisted spectrum sharing are discussed, as well as the licensed shared access approach and cooperative communication techniques. The book also covers reciprocity-based beam forming techniques for spectrum sharing in MIMO networks; resource allocation for shared spectrum networks; large scale wireless spectrum monitoring; and much more. Contains all the latest standardization trends, such as CEPT / ECC, eLSA, CBRS, MulteFire, LTE-Unlicensed (LTE-U), LTE WLAN integration with Internet Protocol security tunnel (LWIP) and LTE/Wi-Fi aggregation (LWA) Presents a number of emerging technologies for future spectrum sharing (collaborative sensing, cooperative communication, reciprocity-based beamforming, etc.), as well as novel spectrum sharing paradigms (e.g. in full duplex and radar systems) Includes substantial trials and experimental results, as well as system-level performance evaluation results Contains a dedicated chapter on spectrum policy reinforcement and one on the economics of spectrum sharing Edited by experts in the field, and featuring contributions by respected professionals in the field world wide Spectrum Sharing: The Next Frontier in Wireless Networks is highly recommended for graduate students and researchers working in the areas of wireless communications and signal processing engineering. It would also benefit radio communications engineers and practitioners.