A cognitive architecture for space time adaptive processing

Samuele Gelli; Marco Martorella

doi:10.1109/RADAR42522.2020.9114809

A cognitive architecture for space time adaptive processing

Samuele Gelli^*, Marco Martorella

^*Corresponding author for this work

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

A cognitive radar can be conceived as a system that is able to autonomously and continuously change the parameters of both the transmitter and the receiver to optimise its performances in changing complex and changing environment with the available resources. In this paper, we implement a simple rule-based form of cognitive radar to optimise ground moving target imaging. The system architecture is presented that highlights the how cognition is implemented into STAP processing to optimise STAP filtering performances. Some preliminary results are shown based on recently acquired real airborne radar data.

Original language	English
Title of host publication	2020 IEEE International Radar Conference, RADAR 2020
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	117-122
Number of pages	6
ISBN (Electronic)	9781728168128
DOIs	https://doi.org/10.1109/RADAR42522.2020.9114809
Publication status	Published - Apr 2020
Event	2020 IEEE International Radar Conference, RADAR 2020 - Washington, United States Duration: 28 Apr 2020 → 30 Apr 2020

Publication series

Name	2020 IEEE International Radar Conference, RADAR 2020

Conference

Conference	2020 IEEE International Radar Conference, RADAR 2020
Country/Territory	United States
City	Washington
Period	28/04/20 → 30/04/20

Bibliographical note

Funding Information:
The authors would like to thank Metasensing BV and Nanyang Technological University (Singapore) for providing the real dataset used in this paper.

Publisher Copyright:
© 2020 IEEE

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/RADAR42522.2020.9114809

Cite this

@inproceedings{bc22404b32254ec7bfca507d85b70024,

title = "A cognitive architecture for space time adaptive processing",

abstract = "A cognitive radar can be conceived as a system that is able to autonomously and continuously change the parameters of both the transmitter and the receiver to optimise its performances in changing complex and changing environment with the available resources. In this paper, we implement a simple rule-based form of cognitive radar to optimise ground moving target imaging. The system architecture is presented that highlights the how cognition is implemented into STAP processing to optimise STAP filtering performances. Some preliminary results are shown based on recently acquired real airborne radar data.",

author = "Samuele Gelli and Marco Martorella",

note = "Funding Information: The authors would like to thank Metasensing BV and Nanyang Technological University (Singapore) for providing the real dataset used in this paper. Publisher Copyright: {\textcopyright} 2020 IEEE; 2020 IEEE International Radar Conference, RADAR 2020 ; Conference date: 28-04-2020 Through 30-04-2020",

year = "2020",

month = apr,

doi = "10.1109/RADAR42522.2020.9114809",

language = "English",

series = "2020 IEEE International Radar Conference, RADAR 2020",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "117--122",

booktitle = "2020 IEEE International Radar Conference, RADAR 2020",

}

Gelli, S & Martorella, M 2020, A cognitive architecture for space time adaptive processing. in 2020 IEEE International Radar Conference, RADAR 2020., 09114809, 2020 IEEE International Radar Conference, RADAR 2020, Institute of Electrical and Electronics Engineers (IEEE), pp. 117-122, 2020 IEEE International Radar Conference, RADAR 2020, Washington, United States, 28/04/20. https://doi.org/10.1109/RADAR42522.2020.9114809

A cognitive architecture for space time adaptive processing. / Gelli, Samuele; Martorella, Marco.
2020 IEEE International Radar Conference, RADAR 2020. Institute of Electrical and Electronics Engineers (IEEE), 2020. p. 117-122 09114809 (2020 IEEE International Radar Conference, RADAR 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Gelli, Samuele

AU - Martorella, Marco

N1 - Funding Information: The authors would like to thank Metasensing BV and Nanyang Technological University (Singapore) for providing the real dataset used in this paper. Publisher Copyright: © 2020 IEEE

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AB - A cognitive radar can be conceived as a system that is able to autonomously and continuously change the parameters of both the transmitter and the receiver to optimise its performances in changing complex and changing environment with the available resources. In this paper, we implement a simple rule-based form of cognitive radar to optimise ground moving target imaging. The system architecture is presented that highlights the how cognition is implemented into STAP processing to optimise STAP filtering performances. Some preliminary results are shown based on recently acquired real airborne radar data.

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M3 - Conference contribution

AN - SCOPUS:85090348015

T3 - 2020 IEEE International Radar Conference, RADAR 2020

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BT - 2020 IEEE International Radar Conference, RADAR 2020

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Y2 - 28 April 2020 through 30 April 2020

ER -

A cognitive architecture for space time adaptive processing

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this