White, Ryan;
Horne, Colin;
Ritchie, Matthew A;
(2024)
An Empirical Evaluation of PDW Extraction Techniques Against Weak LPI Pulsed Radar.
In:
2024 21st European Radar Conference (EuRAD).
(pp. pp. 260-263).
IEEE: Paris, France.
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Abstract
Pulse Descriptor Words (PDWs) are a fundamental output of a Radar Electronic Support Measures (RESM) System, they record key features of received radar pulses which can be used to detect and classify radar systems, and if necessary, deploy active protection measures. This paper focuses on three different techniques of varying complexity used to extract PDWs from both simulated and real I/Q samples, and compares their accuracy at extracting pulse width and centre frequency at a range of signal-to-noise ratios (SNR). Comparative techniques are applied in parallel using a digital Instantaneous Frequency Measurement (IFM) receiver on the time domain I/Q samples and two time-frequency methods: the Short Time Fourier transform (STFT) and Wigner-Ville distribution (WVD) in conjunction with the Hough transform. Results show that the greatest accuracy of extracted features was achieved using the IFM receiver at high SNRs down to +6dB and then the Smoothed Pseudo WVD / Hough method down to -15dB SNR.
Type: | Proceedings paper |
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Title: | An Empirical Evaluation of PDW Extraction Techniques Against Weak LPI Pulsed Radar |
Event: | 2024 21st European Radar Conference (EuRAD) |
Dates: | 25 Sep 2024 - 27 Sep 2024 |
ISBN-13: | 978-2-87487-079-8 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.23919/eurad61604.2024.10734975 |
Publisher version: | http://dx.doi.org/10.23919/eurad61604.2024.1073497... |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Radar; ESM; ELINT; Software Defined Radio |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10200031 |




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