Direction of arrival estimation
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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 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.
Everything to do with radar hardware, techniques, processing and systems.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
OCEANS 2020 - SINGAPORE
An OCEANS conference is a major forum for scientists, engineers, and end-users throughout the world to present and discuss the latest research results, ideas, developments, and applications in all areas of oceanic science and engineering. Each conference has a specific theme chosen by the conference technical program committee. All papers presented at the conference are subsequently archived in the IEEE Xplore online database. The OCEANS conference comprises a scientific program with oral and poster presentations, and a state of the art exhibition in the field of ocean engineering and marine technology. In addition, each conference can have tutorials, workshops, panel discussions, technical tours, awards ceremonies, receptions, and other professional and social activities.
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.
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
IEE Colloquium on Flat Plate and Low Profile Mobile Antennas, 1990
IEEE Transactions on Signal Processing, 2011
The author presents revisions to various equations and formulas from the above-named article.
IEE Colloquium on High Latitude Ionospheric Propagation, 1992
1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996
Most of the existing direction-of-arrival estimation algorithms depend on decomposition of the covariance matrix of the system which in turn require modeling of the contaminating noise. In this paper, a higher-order cumulant based algorithm for estimating the direction-of-arrival of m narrowband far field sources impinging on an array with n uniformly spaced sensors is proposed. Due to the unique property ...
IEEE Intelligent Transportation Systems Magazine, None
8-Element, 1-3GHz Direct Space-to-Information Converter - Matthew Bajor - RFIC Showcase 2018
Detecting a GPS Spoof from a Superyacht
MGA Session 2: Direction and the Section Leader (Member Access)
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation
Robotics History: Narratives and Networks Oral Histories: Illah Nourbakhsh
IEEE Sections Congress 2014: Luc Van den Hove, Wearable Medical Technology
Signal Processing on Manifolds
Robotics History: Narratives and Networks Oral Histories: Makoto Kaneko
ECCE Plenary: Pedro Ray, part 1
Some Recent Work in Computational Intelligence for Software Engineering
Vladimir Cherkassky - Predictive Learning, Knowledge Discovery and Philosophy of Science
Superconducting Detectors for Astrophysics and Cosmology - ASC-2014 Plenary series - 9 of 13 - Thursday 2014/8/14
ECCE Plenary: Pedro Ray, part 2
IROS TV 2019- How to Build a Robot: Vision Based Estimation of Driving Energy for Planetary Rovers
Millimeter Wave MIMO: A Signal Processing Perspective
Building Technical Communities Through Entrepreneurship Activities in India - Amit Kumar - Ignite: Sections Congress 2017
IEEE Medal in Power Engineering - Hirofumi Akagi - 2018 IEEE Honors Ceremony
The Future of Power Electronics Design - Michael Harrison at APEC 2016
IROS TV 2019- Macau- Episode 2- Robots Connecting People
The author presents revisions to various equations and formulas from the above-named article.
Most of the existing direction-of-arrival estimation algorithms depend on decomposition of the covariance matrix of the system which in turn require modeling of the contaminating noise. In this paper, a higher-order cumulant based algorithm for estimating the direction-of-arrival of m narrowband far field sources impinging on an array with n uniformly spaced sensors is proposed. Due to the unique property of higher order cumulant, the proposed method is shown to be at least theoretically independent of the additive Gaussian noise. The algorithm first evaluates the 2r<sup>th</sup> order cumulant from the output of the system. By making use of these output cumulante, we obtain a new vector in which its elements are the coefficients of an equation whose roots are the DOA of the sources. The validity of the algorithm is demonstrated by extensive computer simulations.
Time of arrival (TOA), time difference of arrival (TDOA), time sum of arrival (TSOA), received signal strength (RSS), and direction of arrival (DOA) of the emitted signal are commonly used measurements for source localization. This chapter introduces two categories of positioning algorithms based on TOA, TDOA, TSOA, RSS, and DOA measurements. The first category works on the nonlinear equations directly obtained from the nonlinear relationships between the source and measurements. Corresponding examples, namely, nonlinear least squares (NLS) and maximum likelihood (ML) estimators, are presented. The second category attempts to convert the equations to linear. The chapter discusses the linear least squares, weighted linear least squares (WLLS), and subspace approaches. It develops the mean and variance expressions for any positioning method which can be formulated as an unconstrained optimization problem. The Cramer‐Rao lower bound (CRLB), which is a lower bound on the variance attainable by any unbiased location estimator using the same data, is also discussed.
A wireless local positioning system (WLPS) is a positioning system that functions in global positioning system (GPS)‐denied environments and/or when the GPS is jammed. It allows single‐node localization through roundtrip time‐of‐arrival estimation and direction‐of‐arrival (DOA) estimation via antenna arrays. This chapter discusses the details and the implementation of WLPSs. It explains the implementation of WLPS via direct‐sequence code division multiple access system (DS‐CDMA) that allows high‐performance detection and localization in urban areas by exploiting path diversity. The chapter also discusses the implementation of beamforming and DOA techniques via WLPS antenna arrays. It explores the design stages of WLPS, which provides designers with a good example of the design stages of a radio prototype. The chapter depicts how the cyclostationary property inherent in the transmission signal of WLPS can be used to improve the detection and the localization performance.
In this paper a procedure is outlined for performing both sensor array calibration and signal detection/direction of arrival estimation simultaneously. The source directions are unknown. Sensor array calibration is done using a least squares technique. Signal detection and direction of arrival estimation is performed by a multiple test procedure based on F-tests. The algorithm is studied by simulations and by numerical experiments with data measured by an experimental radar array with 8 elements.
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