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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 full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
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.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
2006 CIE International Conference on Radar, 2006
According to the characteristic that the bandwidth of spaceborne SAR is generally quite wide, a new method called "sub-band double carrier frequency conjugated processing" is presented in this paper. The approach can decrease the equivalent central frequency of the synthetic signal and remove the Doppler ambiguity. Consequently, Keystone transform can be used to correct the linear range migration of the ...
2011 XXXth URSI General Assembly and Scientific Symposium, 2011
This paper addresses an ambiguity number estimation approach of cross-track velocity for ground moving targets from a single synthetic aperture radar (SAR) sensor. We first transform the target signatures into range frequency domain and then compress it for each range frequency. The resulting compressed envelope exhibits a straight line with its slope just proportional to the ambiguity number of the ...
2009 IET International Radar Conference, 2009
Micro-Doppler induced by mechanical vibrating or rotating of structures in a radar target is potentially useful for target detection, classification and recognition. While the Doppler frequencies induced by the target body scatterers are constants after motion compensation, the micro-Doppler due to vibrating or rotating structures of the target is a function of dwell time. Now the characteristic of micro-Doppler has ...
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar, 2009
Synthetic aperture radar (SAR) imaging techniques have been successfully developed for static ground targets, but if the moving target returns are processed in the conventional imaging way, the resulting SAR image of moving targets will appear blurred and be misplaced in azimuth direction. In this paper, we proposed a method which is based on keystone transform and fractional Fourier transform ...
2012 IEEE 11th International Conference on Signal Processing, 2012
Synthetic Aperture Radar (SAR) imaging of moving targets is important and difficult with existing airborne SAR technique, and the traditional SAR imaging algorithm can not achieve the desired results. In this paper, a new SAR imaging algorithm based on the second order Match Fourier Transform (MFT) is presented according to the characteristic of the received signal for moving targets. This ...
RF Power Amplifier Design for Pseudo Envelope Tracking
Vincenzo Piuri - Moving Our Ideas Forward - Closing Ceremony: Sections Congress 2017
Vlatka Paunovic: Why I am an Engineer
Honda U3-X Personal Mobility Device in NY
Capturing Sound with Smoke and Lasers
IEEE GLOBECOM 2010
ITEC 2014: Moving Toward an Optimal Electrified Propulsion Unit: A Multi-Physics Approach
Q&A with Dr. Jennifer Gelinas: IEEE Brain Podcast, Episode 8
A 39GHz 64-Element Phased-Array CMOS Transceiver - Yun Wang - RFIC 2019 Showcase
Robotics History: Narratives and Networks Oral Histories: Richard Murray
REACH (Raising Engineering Awareness through the Conduit of History)
Do-It-Yourself: An Automated Bartender
Merge Network for a Non-Von Neumann Accumulate Accelerator in a 3D Chip - Anirudh Jain - ICRC 2018
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
Moving from Si to SiC from the End User’s Perspective - Muhammad Nawaz, APEC 2018
Net Neutrality Briefing - Oleg Logvinov - IoT Washington DC 2015
Moving into the Future with Smart Medicine: Thomas Schmitz-Rode
IEEE Green Energy Summit 2015: Keynote & Opening Remarks
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation
According to the characteristic that the bandwidth of spaceborne SAR is generally quite wide, a new method called "sub-band double carrier frequency conjugated processing" is presented in this paper. The approach can decrease the equivalent central frequency of the synthetic signal and remove the Doppler ambiguity. Consequently, Keystone transform can be used to correct the linear range migration of the fast moving targets with low input SNR. After the target range curvature is corrected, time-frequency analysis can be used to implement low resolution imaging and targets detecting. The radial velocities of the targets can be obtained from targets detection, and high resolution imaging process can be completed to each moving target. The simulation results show the effectiveness of the new method
This paper addresses an ambiguity number estimation approach of cross-track velocity for ground moving targets from a single synthetic aperture radar (SAR) sensor. We first transform the target signatures into range frequency domain and then compress it for each range frequency. The resulting compressed envelope exhibits a straight line with its slope just proportional to the ambiguity number of the induced Doppler centroid. Then we can estimate its slope and accurately obtain this number by linear features detection techniques. And thus the true radial velocity can be completely retrieved. For dim moving targets, an improved estimation strategy is introduced. The effectiveness of this approach is demonstrated by theoretical analysis and real measured SAR data.
Micro-Doppler induced by mechanical vibrating or rotating of structures in a radar target is potentially useful for target detection, classification and recognition. While the Doppler frequencies induced by the target body scatterers are constants after motion compensation, the micro-Doppler due to vibrating or rotating structures of the target is a function of dwell time. Now the characteristic of micro-Doppler has been used in low speed moving targets' recognition widely, but high speed moving targets have different properties from the low speed moving targets. Due to the influence of high speed, the returned signal after stretch processing will appear range profile broadening and range migration. This paper analyzes the micro-Doppler signature of high speed moving targets, and computer simulations are given to prove the validity of the analysis.
Synthetic aperture radar (SAR) imaging techniques have been successfully developed for static ground targets, but if the moving target returns are processed in the conventional imaging way, the resulting SAR image of moving targets will appear blurred and be misplaced in azimuth direction. In this paper, we proposed a method which is based on keystone transform and fractional Fourier transform (FrFT) to solve these problems. Firstly, first order keystone transform is performed on range compression results to correct range walk, then estimates of Doppler Centroid and Doppler modulation rate are obtained by using fractional Fourier transform, finally focused image of multiple moving targets is achieved by making use of the Doppler estimates. It can ascertain initial positions of multiple moving targets; moreover, it can estimate azimuth velocity, radial velocity and radial acceleration for every moving target. The simulation results show that this method can image and locate multiple ground moving targets effectively.
Synthetic Aperture Radar (SAR) imaging of moving targets is important and difficult with existing airborne SAR technique, and the traditional SAR imaging algorithm can not achieve the desired results. In this paper, a new SAR imaging algorithm based on the second order Match Fourier Transform (MFT) is presented according to the characteristic of the received signal for moving targets. This method has effective focusing ability for moving targets. The simulated results demonstrate the validity of this algorithm.
Multiple moving targets detection and tracking in a video is one of the most important research fields of the computer vision. Considering the scenario when different objects are connected due to the shade during multiple moving targets detection, this paper proposes a modified background subtraction to detect objects in real-time with the shade removed. To begin with, a background model is built to remove the shade using maximum chromaticity differential method. The background is updated in real time so it can easily adapt to the changing environments (e.g., sunlight). In addition, Kalman filters is applied to a feature, which is extracted from the centroid of the moving target by means of the morphology method, for tracking the moving target in the camera in real-time. By the calibration of the camera, the coordinate of the picture is converted into the world one such that the moving target can be tracked in real world. The conducted experiment has shown good performance, thereby presenting validity of the proposed method.
Wide area surveillance (WAS) radar can monitor a large area repeatedly and acquires information of moving targets appeared in interesting area. In this paper, a novel algorithm of moving targets detection and parameters estimation is proposed for dual-channel WAS radar. The paper analyzes parameter ambiguous problem, and presents the corresponding solution. The effectiveness of the proposed algorithm is demonstrated by both the simulated data and real data.
In the application of SAR moving targets imaging, typical algorithms are generally complex, requiring powerful floating-point computing ability and a lot of time. Starting with analysis of the error of conventional still targets imaging algorithms, this paper designs a moving targets imaging algorithm by error compensation and motion parameters estimation. This algorithm is simple but efficient, and easily parallelized as well. Therefore, we implement the algorithm based on the widely used Compute Unified Device Architecture (CUDA) platform and test this implementation with data acquired from real SAR system. Tests prove the effectiveness of this algorithm and the implementation on CUDA shows very high computational efficiency. For every testing moving target, the implementation is able to finish the imaging processing within one second.
In this paper, high performance real-time object detecting and tracking system for multiple moving targets are proposed. The robot vision system which employs the proposed object detection and tracking scheme could identify color and compute the positions of object in real-time. The position information is calculated by using the color information embedded in the image and the proposed color models matching algorithm. Along with the proposed multiple targets tracking algorithm, the implemented system could detect and track up to seven targets in the field simultaneously and compute the position, velocity, and motion orientation of the objects in a speed of 1/30 seconds. The calculated information could then be provided to the decision making system and enables the system to make a proper decision of the strategy and control the soccer robots accordingly. Experimental results demonstrate that the propose method improve the effect of multiple moving targets detection, recognize target contour clearly.
The Doppler shift effect results in some targets shadows in theirs actual position, and a strong correlation exists between adjacent frames of Video Synthetic Aperture Radar (VideoSAR) imagery. Based on the above rationale, a novel approach to moving targets shadow detection for high-frame-rate VideoSAR imagery sequence is presented. First, a fast preprocessing stage is essential in real applications, where the SIFT with RANSAC registration algorithm is employed to compensate for the changing background, and the CattePM model is used to suppress the speckle noise. Then, in order to separate the targets and the background automatically, a threshold segmentation algorithm, called maximizing the Tsallis entropy, is applied. Finally, background difference with three frame difference method implements the precise moving targets extraction. Experimental results utilizing VideoSAR imaging fragment show that multiple moving vehicles are detected effectively and, hence, the validity has been demonstrated.
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