Wireless Positioning and Localization Design with MATLAB
Positioning and Localization have a big role to play in the next generation of wireless applications. Positioning is finding the location co-ordinates of the device, whereas localization is a feature-based technique where you get to know the environment in a specific geography. There are various approaches taken by different standards such as 5G/ WLAN/ Bluetooth/ UWB to identify the position of the device. In this webinar, we will discuss various techniques used to design a system which determine the position of the user.
- Understand the standards definition about positioning and learn how to estimate the distance between transmitter and receiver
- Calculate the position of 5G NR User Equipment (UE) within a network of gNodeBs (gNBs) by using an NR Positioning Reference Signal (PRS)
- Estimate the position of a user in a multipath environment by using a Time-Of-Arrival-based (ToA-based) positioning algorithm defined in the IEEE 802.11az
- Compare and contrast the performance of the positioning algorithm
About the Presenters
Dr. Houman Zarrinkoub is a senior product manager at MathWorks responsible for wireless communications products. During his 20-year tenure at MathWorks, he has also served as a development manager and has been responsible for multiple signal processing and communications software tools. Prior to MathWorks, he was a research scientist working on mobile and voice coding technologies in the Wireless Group at Nortel Networks. He has been awarded multiple patents on topics related to computer simulations of signal processing applications. Houman is the author of the book Understanding LTE with MATLAB: From Mathematical Modeling to Simulation and Prototyping. He holds a B.Sc. degree in electrical engineering from McGill University and M.Sc. and Ph.D. degrees in telecommunications from the University of Quebec, in Canada.
Uvaraj is a Senior Application Engineer in MathWorks, focusing on the 5G/ LTE/ WLAN/ Wireless and Satellite communications. Prior to MathWorks he has worked with Cisco Systems where he worked on Self-Optimizing Networks (SON) for the 5G/ LTE market and developed expertise on end-to-end LTE networks working closely with mobile operators across globe. He has industry expertise on LTE ENB protocol stack development, LTE PHY development. He has also worked at Centre for Communication Systems Research, UK on cognitive radios, relay systems, LTE-A, CoMP systems. Uvaraj holds a master's degree in Mobile and Satellite Communications from University of Surrey, UK and BE in Electronics and Communications from Anna University, India.
Recorded: 24 May 2022
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