Universiti Teknologi Malaysia Institutional Repository

Classification of airborne radar signals based on pulse feature estimation using time-frequency analysis

Ahmad, Ashraf Adamu and Sha'ameri, Ahmad Zuri (2015) Classification of airborne radar signals based on pulse feature estimation using time-frequency analysis. Defence S And T Technical Bulletin, 8 (2). pp. 103-120. ISSN 1985-5761

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Official URL: https://www.researchgate.net/publication/283819076...

Abstract

This paper describes the realization of an airborne radar signal type analysis and classification (ARTAC) system that uses spectrograms to obtain time-frequency representation ((t,f) representation) and then apply the related analysis tools, such as the instantaneous energy and frequency, and time-frequency marginal, to estimate the various signal characteristics. The estimated parameters are used as input to a rule-based classifier that classifies the signal appropriately. Monte-Carlo simulation is then conducted to quantify the accuracy of signal classification at various signal-to-noise ratios (SNRs) in additive white Gaussian noise (AWGN). The methodology used achieves 90% classification accuracy at SNR of 6 dB irrespective of the identity of the signal. The performance and computational complexity (CC) of the system are also addressed in an electronic support (ES) operating scenario.

Item Type:Article
Uncontrolled Keywords:airborne radar signal type analysis and classification (ARTAC) system, low probability of intercept (LPI) radar, Monte-Carlo simulation, spectrogram, time-frequency representation
Subjects:A General Works
ID Code:58052
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:28 Aug 2017 09:15

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