Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey

Research Article

Radar Recognition Using Pulse Repetition Interval Technology

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  • @INPROCEEDINGS{10.4108/eai.7-9-2021.2314983,
    author={Imran  Ahmad and Raed  Abd-Alhameed},
    title={Radar Recognition Using Pulse Repetition Interval Technology},
    proceedings={Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey},
    publisher={EAI},
    proceedings_a={IMDC-IST},
    year={2022},
    month={1},
    keywords={rpi modulation prf radar recognition variable pri emitters fixed pri emitter location based services lbs smart city emitter recognition radar recognition pulse repetition interval signals intelligence prf},
    doi={10.4108/eai.7-9-2021.2314983}
}
  • Imran Ahmad
    Raed Abd-Alhameed
    Year: 2022
    Radar Recognition Using Pulse Repetition Interval Technology
    IMDC-IST
    EAI
    DOI: 10.4108/eai.7-9-2021.2314983
Imran Ahmad1,*, Raed Abd-Alhameed1
  • 1: Faculty of engineering and informatics, University of Bradford, Bradford, BD7 1DP, UK.
*Contact email: I.ahmad3@bradford.ac.uk

Abstract

Recognition of pulse repetition interval modulation (PRI) of a radar signal is important. It helps in identifying the radar’s functional purpose and assists in emitter identification. This paper discusses two methods, the gate time pulse method and feature extraction, used for PRI modulation recognition. These features are based on both sequential and statistical information of the pulse intervals. The extracted features can be used for emitter recognition by feeding the information in a neural network.

Keywords
rpi modulation prf radar recognition variable pri emitters fixed pri emitter location based services lbs smart city emitter recognition radar recognition pulse repetition interval signals intelligence prf
Published
2022-01-26
Publisher
EAI
http://dx.doi.org/10.4108/eai.7-9-2021.2314983
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