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Narrowband array processing beamforming technique for electrical impedance tomography [PDF]
Journal of Electrical Bioimpedance, 2019 Electrical impedance tomography (EIT) has a large potential as a two dimensional imaging technique and is gaining attention among researchers across various fields of engineering.
Chitturi Venkatratnam, Farrukh Nagi
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Kernel Antenna Array Processing [PDF]
IEEE Transactions on Antennas and Propagation, 2007 We introduce two support vector machine (SVM)-based approaches for solving antenna problems such as beamforming, sidelobe suppression, and maximization of the signal-to-noise ratio. A basic introduction to SVM optimization is provided and a complex nonlinear SVM formulation developed to handle antenna array processing in space and time.
Martínez Ramón, Manel +3 more
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Statistical Analysis of the Performance of MDL Enumeration for Multiple-Missed Detection in Array Processing [PDF]
Sensors, 2015 An accurate performance analysis on the MDL criterion for source enumeration in array processing is presented in this paper. The enumeration results of MDL can be predicted precisely by the proposed procedure via the statistical analysis of the sample ...
Fei Du, Yibo Li, Shijiu Jin
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Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective [PDF]
IEEE Signal Processing Magazine, 2022 The signal processing community is currently witnessing the emergence of sensor array processing and direction-of-arrival (DoA) estimation in various modern applications, such as automotive radar, mobile user and millimeter wave indoor localization, and ...
M. Pesavento +2 more
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Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking
Sensors, 2022 Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems.
Jin Tao +5 more
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Applied Sciences, 2022 In order to solve the problem that the measurement noise covariance may be unknown or change with time in actual multi-target tracking, this paper brings the variational Bayesian approximation method into the trajectory probability hypothesis density ...
Xingchen Lu +8 more
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A Sector-Matching Probability Hypothesis Density Filter for Radar Multiple Target Tracking
Applied Sciences, 2023 The development of high-tech, dim, small targets, such as drones and cruise missiles, brings great challenges to radar multi-target tracking (MTT), making it necessary to extend the beam dwell time to obtain a high signal-to-noise ratio (SNR).
Jialin Yang +6 more
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IEEE Signal Processing Magazine, 2023 In this article, a general introduction to the area of sensor array and multichannel signal processing is provided, including associated activities of the IEEE Signal Processing Society (SPS) Sensor Array and Multichannel (SAM) Technical Committee (TC ...
Wei Liu +4 more
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A Labeled GM-PHD Filter for Explicitly Tracking Multiple Targets
Sensors, 2021 In this study, an explicit track continuity algorithm is proposed for multitarget tracking (MTT) based on the Gaussian mixture (GM) implementation of the probability hypothesis density (PHD) filter. Trajectory maintenance and multitarget state extraction
Yiyue Gao +3 more
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