IEEE Organizations related to Doppler Measurement

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No organizations are currently tagged "Doppler Measurement"



Conferences related to Doppler Measurement

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE Radar Conference (RadarConf20)

Annual IEEE Radar Conference

  • 2018 IEEE Radar Conference (RadarConf18)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems, including systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, shipborne, and spaceborne realizations.

  • 2017 IEEE Radar Conference (RadarCon)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems. This includes systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, and spaceborn realizations.

  • 2016 IEEE Radar Conference (RadarCon)

    A continuing series of annual RADAR Conferences IEEE-AESS

  • 2015 IEEE Radar Conference (RadarCon)

    The scope of the IEEE 2015 International Radar Conference includes all aspects of civil and military radar. Topics range from fundamental theory to cutting-edge applications, from signal processing, modeling, simulation to hardware implementation and experimental results.

  • 2014 IEEE Radar Conference (RadarCon)

    The 2014 IEEE Radar Conference will showcase innovations and developments in radar technology. Topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, signal processing, component advances, etc.

  • 2013 IEEE Radar Conference (RadarCon)

    The conference theme is The Arctic The New Frontier as it presents a vast and challenging environment for which radar systems operating in a multi-sensor environment are currently being developed for deployment on space, air, ship and ground platforms and for both remote sensing of the environment and for the monitoring of human activity. It is one of the major challenges and applications being pursued in the field of radar development in Canada.

  • 2012 IEEE Radar Conference (RadarCon)

    The 2012 IEEE Radar Conference will host 400 to 600 attendees interested in innovations and developments in radar technology. The radar related topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, component advances, signal processing and data processing utilizing advanced algorithms. The conference will also include exhibits by vendors of radar systems, radar components, instrumentation, related software and publ

  • 2011 IEEE Radar Conference (RadarCon)

    RadarCon11 will feature topics in radar systems, technology, applications, phenomenology,modeling, & signal processing. The conference theme, In the Eye of the Storm, highlights the strong regional interest in radar for severe weather analysis and tracking. Broader implications of the theme reflect global interests such as radar's role in assessing climate change, supporting myriad defense applications, as well as issues with spectrum allocation and management.

  • 2010 IEEE International Radar Conference

    RADAR Systems, RADAR technology

  • 2009 IEEE Radar Conference

    The conference's scope is civil and military radar, including science, technology, and systems. The theme for RADAR '09 is "Radar: From Science to Systems," emphasizing scientific or observational requirements and phenomenology that lead to the systems that we in the radar community develop.

  • 2008 IEEE Radar Conference

    The 2008 IEEE Radar Conference will focus on the key aspects of radar theory and applications as listed below. Exploration of new avenues and methodologies of radar signal processing will also be encouraged. Tutorials will be held in a number of fields of radar technology. The Conference will cover all aspects of radar systems for civil, security and defense applications.

  • 2007 IEEE Radar Conference

  • 2006 IEEE Radar Conference

  • 2005 IEEE International Radar Conference

  • 2004 IEEE Radar Conference

  • 2003 IEEE Radar Conference

  • 2002 IEEE Radar Conference

  • 2001 IEEE Radar Conference

  • 2000 IEEE International Radar Conference

  • 1999 IEEE Radar Conference

  • 1998 IEEE Radar Conference

  • 1997 IEEE Radar Conference

  • 1996 IEEE Radar Conference


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Periodicals related to Doppler Measurement

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No periodicals are currently tagged "Doppler Measurement"


Most published Xplore authors for Doppler Measurement

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Xplore Articles related to Doppler Measurement

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Errata and comments for the “Basic Tracking” tutorials [Aug 14 4-53, 54-75]

IEEE Aerospace and Electronic Systems Magazine, 2016

This provides corrections and additional comments to the tutorials “Basic Tracking Using Nonlinear 3D Monostatic and Bistatic Measurements” and “Basic Tracking Using Nonlinear 3D Monostatic and Bistatic Measurements in Refractive Environments.”


Adaptive clutter filtering based on tissue vector velocities

2017 IEEE International Ultrasonics Symposium (IUS), 2017

Signal from tissue will always be present within the lumen of vessels or in the heart. To image blood flow, this clutter needs to be suppressed sufficiently for the weaker blood signal to appear. As the magnitude and direction both of surrounding tissue and blood flow varies throughout the cardiac cycle, non-adaptive clutter filters will inevitably either yield dropouts or ...


Constant turn model for converted Doppler measurement Kalman filter

2014 IEEE Workshop on Statistical Signal Processing (SSP), 2014

In this paper, we derive the discrete temporal evolution equation of the pseudo state vector, defined by the converted Doppler (the productive of target true range and range rate) and its first derivative, for the constant turn (CT) motion. The resulted linear state equation allows using of linear Kalman filter to extract information from the pseudo measurements (the productive of ...


Spectral Leakage Reduction of Power-Delay-Doppler Profile for mm-Wave V2I Channel

2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018

Vehicle-to-everything communications using mil-limeter wave has come into the spotlight with autonomous vehicles. Due to high speed of antennas or scatterers, spectral leakage of Doppler spectrum easily occurs in vehicular channel environments. In this paper, the algorithm to reduce spectral leakage is proposed. The main idea is searching for the frequency of the peak power component and shifting sampling frequencies. ...


Sequential nonlinear tracking filter without requirement of measurement decorrelation

Journal of Systems Engineering and Electronics, 2015

Sequential measurement processing is of benefit to both estimation accuracy and computational efficiency. When the noises are correlated across the measurement components, decorrelation based on covariance matrix factorization is required in the previous methods in order to perform sequential updates properly. A new sequential processing method, which carries out the sequential updates directly using the correlated measurement components, is proposed. ...


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Educational Resources on Doppler Measurement

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IEEE.tv Videos

Brooklyn 5G 2016: Dr. Klaus Doppler on Virtual Reality - what it takes to be present
IMS 2011 Microapps - A Comparison of Noise Parameter Measurement Techniques
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
IMS 2011 Microapps - Waveguide Characteristics and Measurement Errors
IMS 2011 Microapps - Vector-Receiver Load Pull - Measurement Accuracy at its Best
IMS 2012 Microapps - Passive Intermodulation (PIM) measurement using vector network analyzer Osamu Kusano, Agilent CTD-Kobe
Brooklyn 5G 2016: Panel on eHealth and Virtual Reality
I2MTC 2014 Conference Preview
APEC 2012 - Thomas S. Buzak Plenary
5G Wireless A Measurement and Metrology Perspective: MicroApps 2015 - Keysight Technologies
MicroApps: Measurement Advances for Differential and I/Q Devices (Agilent Technologies)
MicroApps: Recent Improvement on Y-Factor Noise Figure Measurement Uncertainty (Agilent Technologies)
Micro-Apps Keynote 2013: Modern RF Measurements and How They Drive Spectrum Analyzer Digital IF Processor Design
National Strategic Computing Initiative - Carl Williams: 2016 International Conference on Rebooting Computing
Innovative Transmission Line Measurement and Characterization Reduce Time to Repair for Complex Communication Systems: MicroApps 2015 - Keysight Technologies
Inspiring Brilliance: Maxwell, field theory and the road to relativity and quantum theory
Brooklyn 5G Summit 2014: Channel Measurement and Modeling with Dr. Andy Nix and Dr. Mark Beach
Voltage Metrology with Superconductive Electronics
Brooklyn 5G Summit 2014: Channel Measurements Summary by Ted Rappaport
IMS 2014:Flip Chip Assembly for Sub-millimeter Wave Amplifier MMIC on Polyimide Substrate

IEEE-USA E-Books

  • Errata and comments for the “Basic Tracking” tutorials [Aug 14 4-53, 54-75]

    This provides corrections and additional comments to the tutorials “Basic Tracking Using Nonlinear 3D Monostatic and Bistatic Measurements” and “Basic Tracking Using Nonlinear 3D Monostatic and Bistatic Measurements in Refractive Environments.”

  • Adaptive clutter filtering based on tissue vector velocities

    Signal from tissue will always be present within the lumen of vessels or in the heart. To image blood flow, this clutter needs to be suppressed sufficiently for the weaker blood signal to appear. As the magnitude and direction both of surrounding tissue and blood flow varies throughout the cardiac cycle, non-adaptive clutter filters will inevitably either yield dropouts or a significant tissue velocity bias in some color flow frames. The individual Doppler measurement biases will further contribute to missing or erroneous vector Doppler estimates. In this work, we propose to use tissue vector velocities to generate clutter filters adapted to the tissue motion in each Doppler frame.

  • Constant turn model for converted Doppler measurement Kalman filter

    In this paper, we derive the discrete temporal evolution equation of the pseudo state vector, defined by the converted Doppler (the productive of target true range and range rate) and its first derivative, for the constant turn (CT) motion. The resulted linear state equation allows using of linear Kalman filter to extract information from the pseudo measurements (the productive of range and Doppler measurements) of a target moves with constant speed and constant turn rate. The method is referred to as converted Doppler measurement Kalman filter (CDMKF) and is used in parallel with the converted position measurement Kalman filter (CPMKF) to establish a parallel filtering structure (PRL-CMKF). The validity of the proposed CT model is demonstrated by assessing the performance of the CDMKF and PRL-CMKF. Comparative results show the superior performance of the proposed method especially in challenging scenario with large position measurement errors.

  • Spectral Leakage Reduction of Power-Delay-Doppler Profile for mm-Wave V2I Channel

    Vehicle-to-everything communications using mil-limeter wave has come into the spotlight with autonomous vehicles. Due to high speed of antennas or scatterers, spectral leakage of Doppler spectrum easily occurs in vehicular channel environments. In this paper, the algorithm to reduce spectral leakage is proposed. The main idea is searching for the frequency of the peak power component and shifting sampling frequencies. Doppler measurement results at 28 GHz in a vehicular-to-infrastructure environment are also shown.

  • Sequential nonlinear tracking filter without requirement of measurement decorrelation

    Sequential measurement processing is of benefit to both estimation accuracy and computational efficiency. When the noises are correlated across the measurement components, decorrelation based on covariance matrix factorization is required in the previous methods in order to perform sequential updates properly. A new sequential processing method, which carries out the sequential updates directly using the correlated measurement components, is proposed. And a typical sequential processing example is investigated, where the converted position measurements are used to estimate target states by standard Kalman filtering equations and the converted Doppler measurements are then incorporated into a minimum mean squared error (MMSE) estimator with the updated cross-covariance involved to account for the correlated errors. Numerical simulations demonstrate the superiority of the proposed new sequential processing in terms of better accuracy and consistency than the conventional sequential filter based on measurement decorrelation.

  • Doppler-aided track initiation algorithm

    For traditional track initiation algorithms, target tracks are usually initiated using position measurements. However, many radar systems can also provide Doppler measurements. In this paper, we study how to perform track initiation based on position measurements plus Doppler measurements. Due to the fact that target radial velocity usually does not change too much at the track initiation stage, it is reasonable to assume that a target will appear at the same Doppler channel. With this concept, we construct radial range constraint based on Doppler measurement and spatial location constraint based on a maximum velocity, and select validated measurements at the same Doppler channel of a given track head. Numerical results indicate that the proposed algorithm can decrease the false track probability and the average false track number to a large extent. Besides, compared with the traditional sequential track initiation strategy, a better track initiation performance can be obtained at the same false track level.

  • Erratum to “Interferometric Sensor System for Blade Vibration Measurements in Turbomachine Applications” [Aug 13 2297-2302]

    In the above paper (ibid., vol. 62, no. 8, pp. 2297-2302, Aug. 2013), the name of the authors' university (Technische Universitat Dresden) was omitted in the affiliation. The revised footnote is presented here.

  • Low-cost Lane-level Positioning in Urban Area Using Optimized Long Time Series GNSS and IMU Data

    In this paper, we proposed a novel technique to realize accurate and robust position and pose estimation in a dense urban area. The technique make the best use of averaging effect to optimize long time (over several tens of seconds) series sensor data. Our proposed scheme uses just a low-cost GNSS receiver, a MEMS IMU, and a speed sensor. Evaluation tests in a Japanese urban area showed that our proposed scheme can realize robust lane-level absolute positioning results (2DRMS, 0.9 m). In addition, the standard deviation of the heading is 0.4°, and that of the pitch angle is 0.6°. Evaluation tests showed that the accuracy of our proposed scheme almost reached levels of the survey level mapping system, which is equipped with high-cost sensors. On the other hands, the total sensor cost for our prototype was only several hundreds of dollars. We believe that our proposed position and pose estimation scheme enables enhanced vehicle application to systems such as driver assistance systems, autonomous vehicle, and mapping systems.

  • Compressive sensing aided the sequential extended Kalman filter tracker for pulse Doppler radar

    Since target tracking using pulse Doppler (PD) radar plays a significant role in military applications and the traditional tracking methods are not perfect enough to complete the tracking filter process, compressive sensing (CS) is applied for improving the tracking precision. In this paper, CS aided sequential extended Kalman filter (SEKF) is proposed to track moving targets using pulse Doppler (PD) radar. We use the sparsity of delay-Doppler plane to set up a sparse signal model in each pulse interval, and get Doppler measurements through the reconstruction algorithm. Then SEKF is used to make filter update so as to attain the high-precision state estimation. In the process of filter, we use SEKF to reduce the nonlinearity between Doppler measurements and the target motion state. This method can not only take advantages of CS, but also decrease the nonlinear error through adding the pseudo, which can improve the tracking accuracy of PD radar more significantly. Numerical simulations show that our proposed algorithm is validated to enhance the tracking performance compared to the traditional SEKF method and the CS based tracking method. In addition, parameters used in this paper are more practical and of great significance and value.

  • Distributed multitarget tracking with Range-Doppler sensors

    The paper applies a recently developed Consensus Gaussian Mixture - Cardinalized Probability Hypothesis Density (CGM-CPHD) filter to distributed multitarget tracking with range and/or Doppler sensors. It is demonstrated via simulation results on realistic scenarios that the use of Doppler measurements provides a significant tracking performance improvement with respect to using low-accuracy range measurements only. On the other hand, effective distributed Doppler-only multitarget tracking is still an open issue to be investigated.



Standards related to Doppler Measurement

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Jobs related to Doppler Measurement

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