Practical Aspects of Cognitive Radar
暂无分享,去创建一个
Ram M. Narayanan | Charles Baylis | R. Michael Buehrer | Anthony F. Martone | Kelly D. Sherbondy | Jacob A. Kovarskiy | Benjamin H. Kirk | Charles E. Thornton | Jonathan W. Owen | Brandon Ravenscroft | Austin Egbert | Adam Goad | Angelique Dockendorf | Shannon Blunt
[1] V. C. Vannicola,et al. Applications of knowledge based systems to surveillance , 1988, Proceedings of the 1988 IEEE National Radar Conference.
[2] Ram M. Narayanan,et al. Mitigation of target distortion in pulse-agile sensors via Richardson─Lucy deconvolution , 2019 .
[3] Anthony F. Martone,et al. Spectrum Allocation for Noncooperative Radar Coexistence , 2018, IEEE Transactions on Aerospace and Electronic Systems.
[4] Ram M. Narayanan,et al. Metacognition for Radar Coexistence , 2020, 2020 IEEE International Radar Conference (RADAR).
[5] Ram M. Narayanan,et al. Comparing stochastic and Markov decision process approaches for predicting radio frequency interference , 2019, Defense + Commercial Sensing.
[6] Jeffrey H. Reed,et al. Coexistence between radar and LTE-U systems: Survey on the 5 GHz band , 2016, 2016 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM).
[7] Ram M. Narayanan,et al. Cognitive software defined radar: waveform design for clutter and interference suppression , 2017, Defense + Security.
[8] Jonathan W. Owen,et al. Devoid Clutter Capture and Filling (DeCCaF) to Compensate for Intra-CPI Spectral Notch Variation , 2019, 2019 International Radar Conference (RADAR).
[9] Ram M. Narayanan,et al. Performance Analysis of Pulse-Agile SDRadar with Hardware Accelerated Processing , 2020, 2020 IEEE International Radar Conference (RADAR).
[10] Ram M. Narayanan,et al. Avoidance of Time-Varying Radio Frequency Interference With Software-Defined Cognitive Radar , 2019, IEEE Transactions on Aerospace and Electronic Systems.
[11] Anthony F. Martone,et al. Experimental Assessment of Joint Range-Doppler Processing to Address Clutter Modulation from Dynamic Radar Spectrum Sharing , 2020, 2020 IEEE International Radar Conference (RADAR).
[12] Michael C. Wicks,et al. Metacognition for waveform diverse radar , 2012, 2012 International Waveform Diversity & Design Conference (WDD).
[13] R. Michael Buehrer,et al. On the use of Markov Decision Processes in cognitive radar: An application to target tracking , 2018, 2018 IEEE Radar Conference (RadarConf18).
[14] Achmad Munir,et al. GNU Radio based software-defined FMCW radar for weather surveillance application , 2011, 2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA).
[15] Patrick C. Kyllonen,et al. Use of Response Time for Measuring Cognitive Ability , 2016 .
[16] Charles Baylis,et al. Fast Frequency-Agile Real-Time Optimization of High-Power Tuning Network for Cognitive Radar Applications , 2019, 2019 IEEE MTT-S International Microwave Symposium (IMS).
[17] Michael M. Marefat,et al. Metacognition and the next generation of cognitive radio engines , 2016, IEEE Communications Magazine.
[18] Anthony F. Martone,et al. Experimental demonstration and analysis of cognitive spectrum sensing and notching for radar , 2018 .
[19] Peter Wellig,et al. Cognitive Radar Experiments with CODIR , 2017 .
[20] Simon Haykin,et al. Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering , 2012, Proceedings of the IEEE.
[21] Abbas Semnani,et al. High‐power impedance tuner utilising substrate‐integrated evanescent‐mode cavity technology and external linear actuators , 2019, IET Microwaves, Antennas & Propagation.
[22] Hussein A. Abbass,et al. Hierarchical Deep Reinforcement Learning for Continuous Action Control , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[23] Ram M. Narayanan,et al. Spectral Prediction and Notching of RF Emitters for Cognitive Radar Coexistence , 2020, 2020 IEEE International Radar Conference (RADAR).
[24] Ram M. Narayanan,et al. A Stochastic Model for Prediction and Avoidance of RF Interference to Cognitive Radars , 2019, 2019 IEEE Radar Conference (RadarConf).
[25] Fulvio Gini,et al. Cognitive Radars: On the Road to Reality: Progress Thus Far and Possibilities for the Future , 2018, IEEE Signal Processing Magazine.
[26] Jonathan W. Owen,et al. Principles & Applications of Random FM Radar Waveform Design , 2019 .
[27] Joel T. Johnson,et al. Experiments with cognitive radar , 2015, IEEE Aerospace and Electronic Systems Magazine.
[28] J.R. Guerci,et al. Knowledge-aided adaptive radar at DARPA: an overview , 2006, IEEE Signal Processing Magazine.
[29] Aleksandrs Slivkins,et al. Introduction to Multi-Armed Bandits , 2019, Found. Trends Mach. Learn..
[30] Joel T. Johnson,et al. Cognitive Radar Framework for Target Detection and Tracking , 2015, IEEE Journal of Selected Topics in Signal Processing.
[31] B. Widrow,et al. Adaptive antenna systems , 1967 .
[32] Hugh Griffiths,et al. Proposed ontology for cognitive radar systems , 2018, IET Radar, Sonar & Navigation.
[33] R. Michael Buehrer,et al. Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar , 2020, 2020 IEEE International Radar Conference (RADAR).
[34] Alexander Charlish,et al. An Overview of Cognitive Radar: Past, Present, and Future , 2019, IEEE Aerospace and Electronic Systems Magazine.
[35] S. Haykin,et al. Cognitive radar: a way of the future , 2006, IEEE Signal Processing Magazine.
[36] Graeme E. Smith,et al. Development and Calibration of a Low-Cost Radar Testbed Based on the Universal Software Radio Peripheral , 2019, IEEE Aerospace and Electronic Systems Magazine.