The technology we use, and even rely on, in our everyday lives –computers, radios, video, cell phones – is enabled by signal processing. Learn More »
1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
News and Resources for Members of the IEEE Signal Processing Society
Upcoming Webinar! 2 October 2019
Webinar Topic: "Direct Localization for Massive MIMO"
Presented by Dr. Nil Garcia and based on an IEEE Xplore article
published in IEEE Transactions on Signal Processing
Presenter: Dr. Nil Garcia
|
Date: 2 October 2019 Time: 11:00 am EDT (New York time) Duration: Approximately 1 hour Register: Attendee Registration |
About this Topic:
This webinar, “Direct Localization for Massive MIMO,” will discuss how Large-scale MIMO systems are well known for their advantages in communications, but they also have the potential for providing very accurate localization, thanks to their high angular resolution. A difficult problem arising indoors and outdoors is localizing users over multipath channels. Localization based on angle of arrival (AOA) generally involves a two-step procedure, where signals are first processed to obtain a user's AOA at different base stations, followed by triangulation to determine the user's position. In the presence of multipath, the performance of these methods is greatly degraded due to the inability to correctly detect and/or estimate the AOA of the line-of-sight (LOS) paths. To counter the limitations of this two-step procedure which is inherently suboptimal, [the researchers] propose a direct localization approach in which the position of a user is localized by jointly processing the observations obtained at distributed massive MIMO base stations. [Their] approach is based on a novel compressed sensing framework that exploits channel properties to distinguish LOS from non-LOS signal paths, and leads to improved performance results compared to previous existing methods.
About the Presenter:
Dr. Nil Garcia (S’14–M’16) received the Telecommunications Engineer degree from the Polytechnic University of Catalonia, Barcelona, Spain, in 2008; and the double Ph.D. degrees in electrical engineering from the New Jersey Institute of Technology, Newark, NJ, USA, and from the National Polytechnic Institute of Toulouse, Toulouse, France, in 2015.
He is currently a Postdoctoral Researcher of communication systems with the Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden. In 2009, he was an Engineer with the Centre National d’Etudes Spatiales. In 2008 and 2009, he had intern-ships in CNES and NASA. His research interests include the areas of localization, intelligent transportation systems, and 5G.
Nomination/Position | Deadline |
---|---|
Call for Nominations for IEEE SPS Editors-in-Chief | 10 February 2025 |
Call for Nominations: IEEE Technical Field Awards | 15 January 2025 |
Nominate an IEEE Fellow Today! | 7 February 2025 |
Home | Sitemap | Contact | Accessibility | Nondiscrimination Policy | IEEE Ethics Reporting | IEEE Privacy Policy | Terms | Feedback
© Copyright 2024 IEEE - All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.