Enhancement of a State-of-the-Art RL-Based Detection Algorithm for Massive MIMO Radars-Reference-Cited by-同舟云学术

Enhancement of a State-of-the-Art RL-Based Detection Algorithm for Massive MIMO Radars

Published:2022-12 Issue:6 Volume:58 Page:5925-5931
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Lisi Francesco¹^ORCID,Fortunati Stefano²^ORCID,Greco Maria Sabrina¹,Gini Fulvio¹

Affiliation:

1. Dipartimento di Ingegneria dell’Informazione, Università di Pisa, Pisa, Italy

2. CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, Gif-sur-Yvette, France

Funder

Laboratoire des signaux et systèmes

Italian Ministry of Education and Research

Università di Pisa

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/9970423/09760145.pdf?arnumber=9760145

Reference11 articles.

1. Massive MIMO Radar for Target Detection

2. MIMO Radar with Colocated Antennas

3. Transmit beamforming for MIMO radar systems using signal cross-correlation

4. Reinforcement learning-based waveform optimization for MIMO multi-target detection

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