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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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Cost-Reference Particle Filter for Cognitive Radar Tracking Systems with Unknown Statistics [PDF]
Sensors, 2020 A novel robust particle filtering algorithm is proposed for updating both the waveform and noise parameter for tracking accuracy simultaneously and adaptively.
Lei Zhong, Yong Li, Wei Cheng, Yi Zheng
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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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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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The Journal of Engineering, 2019 Radars operating in the high-frequency (HF) band can exploit propagation modes other than line-of-sight and are hence widely employed to provide over-the-horizon surveillance and remote sensing.
Stuart Anderson
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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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Amplitude information aided waveform selection for cognitive radar tracking [PDF]
Zhihui kongzhi yu fangzhen, 2023 In order to improve the tracking performance of cognitive radar, this paper proposes a waveform selection algorithm for cognitive radar tracking assisted by amplitude information. Firstly, the framework of waveform parameter selection for cognitive radar
XIONG Fangyong, WANG Jiantao, HUANG Jie, DANG Tongxin
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Frontiers in Computer Science, 2022 IntroductionThis paper proposes a Bayesian surprise learning algorithm that internally motivates the cognitive radar to estimate a target's state (i.e., velocity, distance) from noisy measurements and make decisions to reduce the estimation error ...
Yeganeh Zamiri-Jafarian +2 more
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Designing Sequences With Minimized Mean Sidelobe Level for Cognitive Radars
IEEE Access, 2021 In this paper, a set of sequences is developed with a minimized mean sidelobe level (MSL). The problem is formulated for cognitive radars using the $l_{1}$ -norm, where the target cognition determines which sidelobes should be suppressed.
Hamid Esmaeili Najafabadi +2 more
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Moving target detection and tracking with multiplatform radar network (MRN)
IET Radar, Sonar & Navigation, 2022 A multiplatform radar network (MRN) composed of multiple transmitting and receiving facilities is advantageous over monostatic radar in moving target detection (MTD) and tracking due to the diversity gain.
Zhe Geng +4 more
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