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The application of auto regressive spectrum modeling for identification of the intercepted radar signal frequency modulation
University of Baghdad, Baghdad, Iraq. (Mobile Robotics and Olfaction Lab)ORCID iD: 0000-0001-6868-2210
2012 (English)In: Inventi Impact - Telecom, ISSN 2249-1414, Vol. 2012, no 3Article in journal (Refereed) Published
Abstract [en]

In the Electronic Warfare receivers, it is important to know the type of modulation of the intercepted Radar signals (MOP modulation on pulse). This information can be very helpful in identifying the type of Radar present and to take the appropriate actions against it. In this paper, a new signal processing method is presented to identify the FM (Frequency Modulation) pattern from the received Radar pulses. The proposed processing method based on Auto Regressive Spectrum Modelling used for digital modulation classification [1]. This model uses the instantaneous frequency and instantaneous bandwidth as obtained from the roots of the autoregressive polynomial. The instantaneous frequency and instantaneous bandwidth together were used to identify the type of modulation in the Radar pulse. Another feature derived from the instantaneous frequency is the frequency rate of change. The frequency rate of change was used to extract the pattern of the frequency change. Results show that this method works properly even for low signal to noise ratios.

Place, publisher, year, edition, pages
Bhopal, India: Inventi Journals Pvt.Ltd. , 2012. Vol. 2012, no 3
Keywords [en]
Information technology - Telecommunication
Keywords [sv]
Informationsteknik - Telekommunikation
National Category
Signal Processing Telecommunications Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:oru:diva-82185OAI: oai:DiVA.org:oru-82185DiVA, id: diva2:1433143
Available from: 2020-05-29 Created: 2020-05-29 Last updated: 2022-10-26Bibliographically approved

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Alhashimi, Anas

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Citation style
  • apa
  • ieee
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