ESR 8

Leonardo Leyva Lamas

Waveforms and separation algorithms for joint use in radar and communications

LinkedIn: https://www.linkedin.com/in/leonardo-leyva-38982b12a

ResearchGate: https://www.researchgate.net/profile/Leonardo_Leyva_Lamas

Biography

My name is Leonardo Leyva Lamas, I am from Matanzas a small city located 100 km east of Havana, Cuba. Since I was a boy I showed a great interest in technology and sciences, I realized what I wanted to study a pretty early age. So when I was 18 years old I moved to Havana city where I spent five years at university studying Telecommunications and Electronics Engineering. In my free time, I enjoy listening music, watching TV, swimming, reading, exercise me and go out with my friends.


I graduated from ISPAJAE on summer of 2013 and then, I worked in the communication industry for about two years and half, more specifically with the operation of the fixed access network. In 2016, I started a Master degree at PUC-Rio in Rio de Janeiro where I got great interest in wireless communications systems and digital signal processing techniques. I successfully complete the master’s degree in April 2018.

At the moment, I am starting a Doctoral Programme in Electrical Engineering at University of Aveiro, Portugal. As part of TeamUp5G project, my research focuses on RadCom systems, more specifically on define waveforms and separation algorithms for joint use in sensing and communication systems under the main supervision of professor Atílio Manuel da Silva Gameiro.

Objectives

This project main goal aims to develop the technology that will allow for a tight integration of sensing and communication systems, mainly through the definition of waveforms that are adequate for both communication and sensing systems and design algorithms for separation in the frequency and/or code dimension. Allowing the discrimination of targets with a very high 3D resolution while maintaining high data rate with communications users.

Expected Results

Define novel waveforms suitable for joint use in radar and communications and compatible with the future 5G and beyond. Cost and performance efficient discrimination algorithms for the separation of services based on frequency and / or code separation. Prototype based on FPGA to demonstrate the the technological feasibility of the proposed algorithms.

Institutions and Supervisors

  • Main Institution: Instituto de Telecomunicações – Aveiro, Portugal
  • PhD Enrollment: Universidade de Aveiro
  • Supervisor 1: Dr. Atílio Manuel da Silva Gameiro
  • Supervisor 2: Dr.  Adão Paulo Soares Silva
  • Supervisor 3: Dr. Daniel Filipe Marques Castanheira

Secondments

ECLEXYS