A Bayesian Surprise Approach in Designing Cognitive Radar for Autonomous Driving [PDF]
Entropy, 2022 This article proposes the Bayesian surprise as the main methodology that drives the cognitive radar to estimate a target’s future state (i.e., velocity, distance) from noisy measurements and execute a decision to minimize the estimation error over time ...
Yeganeh Zamiri-Jafarian +1 more
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Cognitive Radar Waveform Optimization Based on Mutual Information and Kalman filtering [PDF]
Entropy, 2018 A new strategy to optimizing the waveforms of cognitive radar under transmitted power constraint is presented. Our scheme is to enhance the performance of target estimation by minimizing the MSE (mean-square error) of the estimates of target scattering ...
Yu Yao, Junhui Zhao, Lenan Wu
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Adaptive Waveform Design for Cognitive Radar in Multiple Targets Situations [PDF]
Entropy, 2018 In this paper, the problem of cognitive radar (CR) waveform optimization design for target detection and estimation in multiple extended targets situations is investigated.
Xiaowen Zhang, Xingzhao Liu
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Efficient Low-PAR Waveform Design Method for Extended Target Estimation Based on Information Theory in Cognitive Radar [PDF]
Entropy, 2019 This paper addresses the waveform design problem of cognitive radar for extended target estimation in the presence of signal-dependent clutter, subject to a peak-to-average power ratio (PAR) constraint.
Tianduo Hao, Chen Cui, Yang Gong
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Risk-Aware Resource Allocation Strategy for Target Tracking in a Cognitive Radar Network [PDF]
SensorsCognitive radar has been developed to use feedback from its operating environment, obtained from a beam, to make resource allocation decisions by solving optimization problems. Previous works focused on target tracking accuracy by designing an evaluation
Ji Ye Lee, Jongho Park
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Mode Selection in Cognitive Radar Networks
CoRR, 2023 13 pages, 11 ...
William W. Howard +3 more
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Science & technology trends in cognitive radar concept
Системи обробки інформації, 2021 Currently, human operators provide cognition in a radar system. However, advances in the “digitization” of radar front-ends, including digital arbitrary waveform generators (AWG) and advanced high performance embedded computing (HPEC) make it possible to
А.С. Дудуш +3 more
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Кібернетика та комп'ютерні технології, 2023 The problem of building modern systems for collecting, processing and presenting information for moving platforms, characterized by the presence of a neural network with deep learning, sensors with preprocessing, systems processing and presenting ...
Mykola Kosovets, Lilia Tovstenko
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THE RADAR ARCHITECTURE FOR PERSONAL COGNITIVE ASSISTANCE [PDF]
International Journal of Software Engineering and Knowledge Engineering, 2007 Current desktop environments provide weak support for carrying out complex user-oriented tasks. Although individual applications are becoming increasingly sophisticated and feature-rich, users must map their high-level goals to the low-level operational vocabulary of applications, and deal with a myriad of routine tasks (such as keeping up with email,
David Garlan, Bradley R. Schmerl
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Developments in target micro-doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar [PDF]
, 2013 Target motions, other than the main bulk translation of the target, induce Doppler modulations around the main Doppler shift that form what is commonly called a target micro-Doppler signature.
Soraghan, J. J. +5 more
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