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Science & technology trends in cognitive radar concept

А.С. Дудуш, І.І. Сачук, Сальман Оваід, А.К. Бідун
2021 Системи обробки інформації  
Radar systems based on the perception-action cycle of cognition that senses the environment, learns relevant information from it about the target and the background and then adapts the radar to optimally  ...  The cognitive-inspired techniques in radar, that are intensively developing last years, mimic elements of human cognition and the use of external knowledge to use the available system resources in an optimal  ...  Advisability of using Bayesian approaches for CFAR target detection was also discussed by Ya.D. Shirman and V.M. Orlenko in [21 ; 35] .  ... 
doi:10.30748/soi.2021.166.02 fatcat:3mxvdw5yabaqfibzx4osg5a23i

Cognitive radar: a way of the future

S. Haykin
2006 IEEE Signal Processing Magazine  
BAYESIAN TARGET TRACKING In [2] and [3] , a Bayesian strategy is described for the coherent radar detection of small targets in the presence of sea clutter.  ...  statistics, described by the F-distribution F 2,2k (z), where z is a power spectrum measurement and k is the number of neighboring Doppler bins over which the measurement is averaged. ■ Target-plus-clutter  ... 
doi:10.1109/msp.2006.1593335 fatcat:pyyjpslmfjahvpdyqysmmz32n4

Cognitive Radar [chapter]

Simon Haykin
2007 Knowledge-Based Radar Detection, Tracking, and Classification  
ACKNOWLEDGMENTS We thank all the authors for their hard work and outstanding contributions that made this book possible. Finally, we are extremely grateful to Prof.  ...  featured in the January 2006 issue of the IEEE Signal Processing Magazine.  ...  Accordingly, if the clutter distribution is described by F 2,2k (z), the target distribution is taken to be 1 g F 2,2k z g , where z is a power spectrum measurement and g is the target-to-clutter power  ... 
doi:10.1002/9780470283158.ch2 fatcat:ze6qhcyczrcqdjx2aporuuer5m

The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference

James M. Coughlan, Alan L. Yuille
2000 Neural Information Processing Systems  
This enables us, from a single image, to determine the orientation of the viewer relative to the scene structure and also to detect target objects which are not aligned with the grid.  ...  These inferences are performed using a Bayesian model with probability distributions (e.g. on the image gradient statistics) learnt from real data.  ...  This work was also supported by the National Institute of Health (NEI) with grant number R01-EY 12691-01. It is a pleasure to acknowledge email conversations with Song Chun Zhu about scene clutter.  ... 
dblp:conf/nips/CoughlanY00 fatcat:risziingavcvxpdpgo6tn5jqge

Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Teng Long, Zhennan Liang, Quanhua Liu
2019 Science China Information Sciences  
However, the cost of Bayesian detection and the pre-determined threshold of the detector are difficult to estimate.  ...  These advantages improve the detection performance of the radar, especially in cluttered environments [39] . However, spatially distributed target detection is disadvantaged by low SNR.  ... 
doi:10.1007/s11432-018-9811-0 fatcat:cf4a5itojfbh3er7etind6msdu

Human and Ideal Observers for Detecting Image Curves

Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel J. Kersten
2003 Neural Information Processing Systems  
This paper compares the ability of human observers to detect target image curves with that of an ideal observer.  ...  This suggests a bias of human observers towards straight curves and natural statistics.  ...  Acknowledgments Supported by NIH RO1 EY11507-001, EY02587, EY12691 and, EY013875-01A1, NSF SBR-9631682, 0240148.  ... 
dblp:conf/nips/YuilleFSK03 fatcat:vusj57llqjecnbdozqzytbgc5i

Effective Multi-Model Motion Tracking Under Multiple Team Member Actuators [chapter]

Yang Gu, Manuela Veloso
2009 Multiagent Systems  
, and no official endorsement should be inferred.  ...  The content of the information in this publication does not necessarily reflect the position or policy of the Defense Advanced Research Projects Agency (DARPA), US Department of Interior, US Government  ...  Let N Ct denote the number of clutter points, and Ω D denote the set of measurements indices corresponding to the detected targets, the likelihood function for measurement z t can be written as: ∏ Ω ∈  ... 
doi:10.5772/6608 fatcat:vi6hxxhwj5ay5khy532zxltv4u

A machine learning approach to cognitive radar detection

Justin Metcalf, Shannon D. Blunt, Braham Himed
2015 2015 IEEE Radar Conference (RadarCon)  
We consider the requirements of cognitive radar detection in the presence of non-Gaussian clutter.  ...  A pair of machine learning approaches based on non-linear transformations of order statistics are examined with the goal of adaptively determining the optimal detection threshold within the low sample  ...  ACKNOWLEDGMENT This work was supported by a subcontract with Booz, Allen and Hamilton for research sponsored by the Air Force Research Laboratory (AFRL) under Contract FA8650-11-D-1011.  ... 
doi:10.1109/radar.2015.7131215 fatcat:7p6yr7ndirfb5hlchvgjpoum7y

Predicting multiple target tracking performance for applications on video sequences

Juan E. Tapiero, Henry Medeiros, Robert H. Bishop
2017 Machine Vision and Applications  
This dissertation presents a framework to predict the performance of multiple target tracking (MTT) techniques.  ...  We also introduce the concepts that present the base for estimation in general and for applications in computer vision. ii ACKNOWLEDGEMENTS Without the guidance, patience, and encouragement of countless  ...  For example, the human eye detects video contrast through the relative variation of luminance, so a quality model imitates this sensitivity through a spatiotemporal contrast sensitivity function (CSF)  ... 
doi:10.1007/s00138-017-0840-8 fatcat:e3xxdfmqkrgdzngxgpelwemfzm

Optimal reward harvesting in complex perceptual environments

V. Navalpakkam, C. Koch, A. Rangel, P. Perona
2010 Proceedings of the National Academy of Sciences of the United States of America  
We systematically varied the relative value and feature-contrast of the targets (a measure of saliency based on the difference in features between the target and distractor) across blocks and studied how  ...  orientation, and motion) (9-13) and that salient targets are detected faster and better amid clutter (1, 2).  ...  This work was supported by grants from the National Geospatial-Intelligence Agency, the Office of Naval Research, the National Science Foundation, and the National Institutes of Health.  ... 
doi:10.1073/pnas.0911972107 pmid:20194768 pmcid:PMC2841865 fatcat:2bdn6gnugzhbllp25w3gyqysaq

Bayesian Tracking in Underwater Wireless Sensor Networks With Port-Starboard Ambiguity

Paolo Braca, Peter Willett, Kevin LePage, Stefano Marano, Vincenzo Matta
2014 IEEE Transactions on Signal Processing  
In the context of Bayesian filtering approximated by means of particle filtering techniques, we show that optimal disambiguation can be pursued by deriving the full Bayesian posterior distribution of the  ...  Removal of such artifacts is usually made by rough and heuristic approaches.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for valuable suggestions and corrections which allowed to improve the quality of the paper.  ... 
doi:10.1109/tsp.2014.2305640 fatcat:c7vvai6q4zgbnmrcuq3xpulquy

Multi-polarization through-the-wall radar imaging using joint Bayesian compressed sensing

Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Van Ha Tang
2014 2014 19th International Conference on Digital Signal Processing  
Experimental results based on real radar data demonstrate that the proposed method improves image quality by enhancing target reflections and attenuating background clutter.  ...  The proposed method combines wall clutter mitigation and scene reconstruction in a unified framework using multitask Bayesian compressed sensing.  ...  Moeness Amin and Dr. Fauzia Ahmad from the Center of Advanced Communications at Villanova University, Villanova, PA, USA, for providing the experimental data.  ... 
doi:10.1109/icdsp.2014.6900771 dblp:conf/icdsp/BouzerdoumTT14 fatcat:f2me4esbgzhtbly3vfnqmu2k6y

Tracking in cluttered images

Malcolm J.A. Strens, Ian N. Gregory
2003 Image and Vision Computing  
Optimal detection performance is related to a hidden Markov model for target presence/absence, which can exploit statistical models of target and background appearance to detect targets in highly cluttered  ...  A new algorithm, the competitive attentional tracker (CAT) is proposed, which combines multiple velocity estimating filters to detect and track targets in cluttered images.  ...  to the measured velocity between the previous position distribution f t−1 x and the measured position distribution z t x .  ... 
doi:10.1016/s0262-8856(03)00075-1 fatcat:d6xmwtvrkzb6hpdvh2paecik7u

A random finite set based detection and tracking using 3D LIDAR in dynamic environments

B. Kalyan, K.W. Lee, S. Wijesoma, D. Moratuwage, N.M. Patrikalakis
2010 2010 IEEE International Conference on Systems, Man and Cybernetics  
The system can reliably detect and track pedestrians to a range of 100 m in highly cluttered environments.  ...  In this paper we describe a fully integrated system for detecting and tracking pedestrians in a dynamic urban environment.  ...  This work was supported by National Research Foundation (NRF), Singapore and Center for Environmental Sensing And Modeling (CENSAM) under the auspices of the Singapore-MIT Alliance for Research and Technology  ... 
doi:10.1109/icsmc.2010.5641985 dblp:conf/smc/KalyanLWMP10 fatcat:cp6ykngeavep7k7zlmhewa537e

Regional effects of clutter on human target detection performance

M. F. Asher, D. J. Tolhurst, T. Troscianko, I. D. Gilchrist
2013 Journal of Vision  
The authors of this paper would like to thank the authors of the clutter metrics used in this paper for access to their code.  ...  Acknowledgments This work was supported by a CASE studentship to the first author funded by EPSRC and QinetiQ.  ...  Thus, performance appears to be determined by both the clutter around the target location and by how cluttered the target itself is.  ... 
doi:10.1167/13.5.25 pmid:23620535 fatcat:azkf5ed66jetnhbxxrjeml6ghq
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