Microwave Tomography Data Deconstruct of Spatially Diverse C-Band Scatter Components Using Clustering Algorithms-Reference-Cited by-同舟云学术

Microwave Tomography Data Deconstruct of Spatially Diverse C-Band Scatter Components Using Clustering Algorithms

Published:2022 Issue: Volume:10 Page:98013-98033
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sundaram G. A. Shanmugha¹^ORCID,Gandhiraj R.¹,Binoy B. N.¹,Harun S. I.²,Surya S. N.³

Affiliation:

1. Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

3. Department of Microelectronics, Microwave Sensing, Signals and Systems (MS3) Group, Delft University of Technology (TU Delft), Delft, The Netherlands

Funder

National Instruments Corporation, Austin, TX, USA, for providing all of the equipment, with the life cycle support, through the Academic Research Grant, in 2016

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09888121.pdf?arnumber=9888121

Reference73 articles.

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3. 6G Wireless Communications: Vision and Potential Techniques

4. Artificial Intelligence Defined 5G Radio Access Networks

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