IEEE Organizations related to Cognitive Radar

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Conferences related to Cognitive Radar

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2020 IEEE International Radar Conference (RADAR)

Everything to do with radar hardware, techniques, processing and systems.

  • 2019 International Radar Conference (RADAR)

    RADAR2019 is in the frame of the international relations set up between the IET, the IEEE, the CIE, the IEAust and the SEE. The conference will focus on new research and developments in the fields: Radar Systems (ground based, airborne, spaceborne), Radar Environment and Phenomenology, Electromagnetic Modeling Radar Component Technologies, Remote Sensing from Airborne or Spaceborne Systems, SAR & ISAR Imagery Waveform design, beamforming and signal processing Emerging, Radar Applications, Smart Visualization and Information processing, System Modeling, Simulation and Validation, Radar Management Techniques Automatic Classification. The conference will take place at Toulon Neptune Palais. Located on the French Riviera, Toulon is an important centre for naval construction and aeronautical equipment,hosting the major naval centre on France's Mediterranean coast, also home of the French Navy aircraft carrier Charles De Gaulle.

  • 2018 International Conference on Radar (RADAR)

    All aspects of radar systems for civil and defence applications.

  • 2017 International Radar Conference (Radar)

    radar environment and phenomenology, radar systems, remote sensing from airborne or spaceborne systems, waveform design, beamforming and signal processing, emerging technologies, advanced sub-systems technologies, computer modelling, simulation and validation, radar management techniques

  • 2016 CIE International Conference on Radar (RADAR)

    The 2016 CIE International Conference on Radar (Radar 2016) will be held in October 10-13 in Guangzhou, China. Radar 2016 is one of the international radar conference series which is held separately in USA, China, UK, Australia and France. It is the 7th International Radar Conference held in China. The conference topics of Radar 2016 will cover all aspects of radar system for civil or defense application.The professional theme of Radar 2016 is “Innovative thinking into the future”. It is our pleasure and honor to invite you to attend Radar 2016 conference. All accepted papers will be published in the conference proceedings We hope to meet you in Guangzhou, China.

  • 2014 International Radar Conference (Radar)

    Radar 2014 cover all aspects of radar systems for civil, security and defence application. Waveform design, beamforming, signal processing, Emerging applications and technologies, sub-systems technologies, Radar environment.

  • 2013 International Conference on Radar

    Radar 2013 cover all aspects of radar systems for civil, security and defence application. Waveform design, beamforming, signal processing, Emerging applications and technologies, sub-systems technologies, Radar environment.

  • 2012 International Radar Conference (Radar)

    Radar Environment/Phenomenology, Radar Systems, Remote Sensing from Airborne/Spaceborne Systems, Waveform Design, Beamforming/Signal Processing, Emerging Applications, Advanced Sub-Systems, Computer Modelling, Simulation/Validation.

  • 2011 IEEE CIE International Conference on Radar (Radar)

    This series of successfully organized international conference on radar shows the very fruitful cooperation between IEEE AESS, IET/UK, SEE/France, EA/Australia CIE/China, and the academy societies of other countries , such as Germany, Russia, Japan, Korea and Poland. Radar 2011 is a forum of radar engineers and scientists from all over the world. The conference topics of Radar 2011 will cover all aspects of radar system for civil and defense applications.

  • 2009 International Radar Conference Radar "Surveillance for a Safer World" (RADAR 2009)

    The conference will focus on new research and developments in the field of radar techniques for both military and civil applications. Topics to be covered at Radar 2009 include: Radar Environment and Phenomenology Radar Systems Remote Sensing from Airborne or Spaceborne Systems Waveform Design, Beamforming and Signal Processing Emerging Radar Applications Emerging Technologies Advanced Sub-Systems Technologies Computer Modeling, Simulation and V

  • 2008 International Conference on Radar (Radar 2008)

    All aspects of radar systems for civil, security and defence applications. Themes include: Radar in the marine environment, Radar systems, Multistatic and netted radars, Radar subsystems, Radar techniques, processing and displays, Modelling and simulation of radar environments, Electronic attack, Electronic protection, Test and Evaluation

  • 2003 IEEE International Radar Conference


2020 IEEE Radar Conference (RadarConf20)

Annual IEEE Radar Conference

  • 2018 IEEE Radar Conference (RadarConf18)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems, including systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, shipborne, and spaceborne realizations.

  • 2017 IEEE Radar Conference (RadarCon)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems. This includes systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, and spaceborn realizations.

  • 2016 IEEE Radar Conference (RadarCon)

    A continuing series of annual RADAR Conferences IEEE-AESS

  • 2015 IEEE Radar Conference (RadarCon)

    The scope of the IEEE 2015 International Radar Conference includes all aspects of civil and military radar. Topics range from fundamental theory to cutting-edge applications, from signal processing, modeling, simulation to hardware implementation and experimental results.

  • 2014 IEEE Radar Conference (RadarCon)

    The 2014 IEEE Radar Conference will showcase innovations and developments in radar technology. Topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, signal processing, component advances, etc.

  • 2013 IEEE Radar Conference (RadarCon)

    The conference theme is The Arctic The New Frontier as it presents a vast and challenging environment for which radar systems operating in a multi-sensor environment are currently being developed for deployment on space, air, ship and ground platforms and for both remote sensing of the environment and for the monitoring of human activity. It is one of the major challenges and applications being pursued in the field of radar development in Canada.

  • 2012 IEEE Radar Conference (RadarCon)

    The 2012 IEEE Radar Conference will host 400 to 600 attendees interested in innovations and developments in radar technology. The radar related topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, component advances, signal processing and data processing utilizing advanced algorithms. The conference will also include exhibits by vendors of radar systems, radar components, instrumentation, related software and publ

  • 2011 IEEE Radar Conference (RadarCon)

    RadarCon11 will feature topics in radar systems, technology, applications, phenomenology,modeling, & signal processing. The conference theme, In the Eye of the Storm, highlights the strong regional interest in radar for severe weather analysis and tracking. Broader implications of the theme reflect global interests such as radar's role in assessing climate change, supporting myriad defense applications, as well as issues with spectrum allocation and management.

  • 2010 IEEE International Radar Conference

    RADAR Systems, RADAR technology

  • 2009 IEEE Radar Conference

    The conference's scope is civil and military radar, including science, technology, and systems. The theme for RADAR '09 is "Radar: From Science to Systems," emphasizing scientific or observational requirements and phenomenology that lead to the systems that we in the radar community develop.

  • 2008 IEEE Radar Conference

    The 2008 IEEE Radar Conference will focus on the key aspects of radar theory and applications as listed below. Exploration of new avenues and methodologies of radar signal processing will also be encouraged. Tutorials will be held in a number of fields of radar technology. The Conference will cover all aspects of radar systems for civil, security and defense applications.

  • 2007 IEEE Radar Conference

  • 2006 IEEE Radar Conference

  • 2005 IEEE International Radar Conference

  • 2004 IEEE Radar Conference

  • 2003 IEEE Radar Conference

  • 2002 IEEE Radar Conference

  • 2001 IEEE Radar Conference

  • 2000 IEEE International Radar Conference

  • 1999 IEEE Radar Conference

  • 1998 IEEE Radar Conference

  • 1997 IEEE Radar Conference

  • 1996 IEEE Radar Conference


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


2019 Chinese Control And Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2018 Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2017 29th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2016 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2015 27th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2014 26th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2013 25th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2012 24th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2008 Chinese Control and Decision Conference (CCDC)


2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC)

The conference focuses on networking, sensing and control three areas, but also opens to some emerging subjects in information technology, such as data science and machine learning.


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Periodicals related to Cognitive Radar

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No periodicals are currently tagged "Cognitive Radar"


Most published Xplore authors for Cognitive Radar

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Xplore Articles related to Cognitive Radar

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Cognitive radar: Waveform design for target detection

2017 IEEE MTT-S International Microwave Symposium (IMS), 2017

Cognitive radar is an emergent technique in modern radar system development. Cognitive radar achieves new levels of radar performance by leveraging mechanisms present in biological systems and incorporating them into the function and operation of the radar system. Here recent developments and future directions of cognitive radar are presented with a focus on the detection of radar targets. These studies ...


Reinforcement Learning based Anti-jamming Frequency Hopping Strategies Design for Cognitive Radar

2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2018

Frequency agile (FA) radar is capable of altering carrier frequency randomly, which is especially useful for radar anti-jamming designs. Obviously, random frequency hopping is not the best choice if the radar can learn the jammer' strategy. In this paper, a novel frequency hopping strategy design method is proposed for cognitive radar to defeat the smart jammer, in which the radar ...


Radar time budget optimization subject to angle accuracy constraint via cognitive approach

2017 18th International Radar Symposium (IRS), 2017

The problem of minimizing dwell time in multifunction phased array radar is considered. Target of interest is assumed to fluctuate according to a generalization of Swerling family and the parameters of fluctuation model are assumed to be known. The a'priori position of the target is uncertain. Optimization, whose variables include pulse count and array transmit beampattern, is carried out subject ...


Cognitive radar waveform design with low range sidelobes and high Doppler tolerance

2017 IEEE Radar Conference (RadarConf), 2017

This paper mainly considers the unimodular Linear-FM synthesized (LFM-Syn) waveform design for cognitive radar. To achieve its low range sidelobes and high Doppler tolerance together, a novel template-based objective function is formulated with constraint on both the quadratic phase and random phase of the waveform. In addition, a novel Alternating Projection Phase Control method (APPC) is proposed to optimize this ...


Single target tracking with distributed cognitive radar

2017 IEEE Radar Conference (RadarConf), 2017

This paper presents the application of the fully adaptive radar (FAR) framework for cognition to a distributed radar network. Multiple instances of the FAR framework were arranged hierarchically, allowing for multiple levels of perception and adaptation. We demonstrated this approach using two distributed radar nodes connected to a fusion center. Each node adapted its transmitted waveform parameters to optimize tracking ...


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Educational Resources on Cognitive Radar

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IEEE.tv Videos

2014 Dennis J. Picard Medal for Radar Technologies and Applications
Richard Klemm - IEEE Dennis J. Picard Medal for Radar Technologies and Applications, 2019 IEEE Honors Ceremony
2011 IEEE Dennis J. Picard Medal for Radar Technologies and Applications - James M. Headrick
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017
The Largest Cognitive Systems will be Optoelectronic: an ICRC 2018 Talk
IMS 2011 Microapps - Volume Manufacturing Trends for Automotive Radar Devices
2012 IEEE Honors - Dennis J. Picard Medal for Radar Technologies and Applications
Reconfigurable 60-GHz Radar Transmitter SoC - Wooram Lee - RFIC 2019 Showcase
IEEE Dennis J. Picard Medal for Radar Technologies and Applications - Mark E. Davis - 2018 IEEE Honors Ceremony
Nadav Levanon receives the IEEE Dennis J. Picard Medal for Radar Technologies and Applications - Honors Ceremony 2016
IMS 2012 Microapps - Virtual Flight Testing of Radar System Performance Daren McClearnon, Agilent EEsof
Hugh Griffiths accepts the IEEE Dennis J. Picard Medal for Radar Technologies and Applications - Honors Ceremony 2017
IEEE 125th Anniversary Media Event: Cognitive Computing
IMS 2012 Special Sessions: The Evolution of Some Key Active and Passive Microwave Components - N. J. Kolias
Robotics History: Narratives and Networks Oral Histories: Raja Chatila
CMOS mmWave Radar SoC Architecture and Applications - Sreekiran Samala - RFIC Showcase 2018
2013 IEEE Dennis J. Picard Medal
Self-Organization with Information Theoretic Learning
MicroApps: Radar Design Flow with NI-AWR Integrated Framework (National Instruments)
Green Radar State of Art: theory, practice and way ahead.

IEEE-USA E-Books

  • Cognitive radar: Waveform design for target detection

    Cognitive radar is an emergent technique in modern radar system development. Cognitive radar achieves new levels of radar performance by leveraging mechanisms present in biological systems and incorporating them into the function and operation of the radar system. Here recent developments and future directions of cognitive radar are presented with a focus on the detection of radar targets. These studies require a deeper examination into both the nature of the operating environment and the characteristics of targets themselves. Additionally, sources of interference which serve to impact radar performance are examined under the framework of cognitive radar and promising interference mitigation techniques are reviewed.

  • Reinforcement Learning based Anti-jamming Frequency Hopping Strategies Design for Cognitive Radar

    Frequency agile (FA) radar is capable of altering carrier frequency randomly, which is especially useful for radar anti-jamming designs. Obviously, random frequency hopping is not the best choice if the radar can learn the jammer' strategy. In this paper, a novel frequency hopping strategy design method is proposed for cognitive radar to defeat the smart jammer, in which the radar does not know the exact jamming model. Q-learning and deep Q-network (DQN) is utilized to solve this problem. By applying the reinforcement learning algorithm, the radar is able to learn the jammer's strategies through the interaction with environment and adopt the best action to obtain high reward. The learning performance of DQN is much better than that of Q-learning especially when the available frequencies are large. The proposed method can improve the signal-to-interference-plus-noise ratio (SINR) for the radar when the jamming model is not available. Numerical results are given to illustrate the effectiveness of the proposed method.

  • Radar time budget optimization subject to angle accuracy constraint via cognitive approach

    The problem of minimizing dwell time in multifunction phased array radar is considered. Target of interest is assumed to fluctuate according to a generalization of Swerling family and the parameters of fluctuation model are assumed to be known. The a'priori position of the target is uncertain. Optimization, whose variables include pulse count and array transmit beampattern, is carried out subject to achieving a desired accuracy of angular coordinate estimates.

  • Cognitive radar waveform design with low range sidelobes and high Doppler tolerance

    This paper mainly considers the unimodular Linear-FM synthesized (LFM-Syn) waveform design for cognitive radar. To achieve its low range sidelobes and high Doppler tolerance together, a novel template-based objective function is formulated with constraint on both the quadratic phase and random phase of the waveform. In addition, a novel Alternating Projection Phase Control method (APPC) is proposed to optimize this function. Simulations show some performance of APPC over several existing techniques, and also our waveforms optimized by APPC 1) has Doppler tolerance similar to conventional LFM one and 2) has Low Probability of Intercept (LPI) similar to the random noise one, as well as 3) has low range sidelobes.

  • Single target tracking with distributed cognitive radar

    This paper presents the application of the fully adaptive radar (FAR) framework for cognition to a distributed radar network. Multiple instances of the FAR framework were arranged hierarchically, allowing for multiple levels of perception and adaptation. We demonstrated this approach using two distributed radar nodes connected to a fusion center. Each node adapted its transmitted waveform parameters to optimize tracking performance, while the fusion center tracked the target in Cartesian space and passed operating instructions to each node. Experimental results demonstrated that the proposed adaptive, hierarchical structure was able to track a human target in Cartesian space while adapting the radar waveform parameters in real-time.

  • Study on ionosphere environment online sensing for cognitive over-the-horizon radar

    In the Over-The-Horizon Radar (OTHR), the sensing of the ionosphere environment is performed in additional process through a set of separate equipment, resulting low efficiency. On the idea of the cognitive OTHR, an approach to get the information of the ionosphere in the detection cycle is proposed in this paper, enabling the feedback from the receiver to the transmitter. Simulation results testify the validity of the method.

  • Faster Frequency-Agile Reconfiguration of a High-Power Cavity Tuner for Cognitive Radar Using Previous Search Results

    Dynamic spectrum allocation requires real-time adjustment of operating frequency and bandwidth in future cognitive radar transmitters. We demonstrate the hastening of a previous frequency-agile reconfiguration algorithm by using prior search endpoints to intelligently inform the starting location of the next search at a previously visited frequency. Measurement results are shown for successive reconfiguration between 10 operating frequencies within the S-band radar allocation. Experimental results demonstrate improved power-added efficiency and speed from the initial information, improving the algorithm's usefulness in real-time reconfigurable transmitters.

  • Design and simulation of the cognitive radar for extended target using MATLAB

    The cognitive radar is intelligent radar. In this paper, optimization of received waveform for the cognitive radar to estimate the extended targets in the presence of the clutter is discussed. The echo signal back to the radar is convolution between transmitted waveform and each extended Target Impulse Response (TIR) and convolution between transmitted waveform and clutter in the environment. A two step method is used to minimize the echo signal. The first step includes minimization of mutual Coherence individually for every extended target. The second step includes weight vector optimization by maximum iteration method. Finally optimized transmitted Waveform generated gives an accurate results and with better detection.

  • Cognitive radar waveforms for frequency dense environments

    A wideband cognitive radar operating in spectrally dense environments needs to use special adaptive waveforms, in order to mitigate the effect of the interferences caused by a number of concurrent narrow band communication services. In the literature, the use of adaptive waveforms with spectral nulls has been proposed. This solution, however, presents some drawbacks in case of high level of spectrum congestion. In fact, due to the high number of frequency nulls, the zero Doppler uncertainty function of the received waveform can result to be corrupted by a high number of sidelobes. This paper proposes and evaluates the use of a new family of waveforms, defined as Adaptive Frequency Modulated Waveforms (AFMWs), whose structure is the combination of a Linear Frequency Modulated Waveform with an Adaptive Stepped Frequency Waveform. A practical implementation of a Cognitive Radar tailored to a specific case study of interest is discussed and the relative performance evaluation results are presented, with regard to detection and recognition capabilities. The results demonstrate that the AFMWs are much better suited to the tasks of detection and recognition than other types of waveforms.

  • Machine learning techniques for frequency sharing in a cognitive radar

    A Cognitive Radar, working in a frequency dense environment, has to perform effective wideband operations, spanning several frequency channels, by working in parallel with other radar and/or communication systems. The cognitive operation is possible by modeling the channel behavior and predicting future channel occupancy. The model of the electromagnetic environment is based on the observation of the spectrum occupancy during a number of time slots and on suitable machine learning to acquire the characteristics of the channel occupancy. The learning operation is paramount, as the prediction about channel occupancy is possible only after understanding the behavior of the concurrent emitters present in the scenario. This paper describes the concept of machine learning techniques, based on emitter pattern classification and matching. implemented on a number of real cases of emitter behavior. In particular, we are defining these techniques by considering four real cases of emitter behavior, namely fixed, sequential, periodical and random channel acquisition. We show that, in the above examined cases, our machine learning techniques can provide good emitter matching, even in presence of a consistent number of concurrent transmitters.



Standards related to Cognitive Radar

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Jobs related to Cognitive Radar

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