Universiti Teknologi Malaysia Institutional Repository

Analysis and classification of airborne radar signal types using time-frequency analysis

Ahmad, A. A. and Sha'ameri, A. Z. (2015) Analysis and classification of airborne radar signal types using time-frequency analysis. In: 5th International Conference on Computer and Communication Engineering, ICCCE 2014, 23 - 24 September 2014, Kuala Lumpur, Malaysia.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/ICCCE.2014.33

Abstract

An electronic support (ES) system is used by the military for intelligence gathering, threat detection, and as a support to the electronic attack system. Its main feature is to determine the frequency parameters and pulse characteristics of the received radar signal. The estimated signal parameters are then used as input to a classifier network to determine the identity of the received signal. This paper describes airborne radar signal type analysis and classification (ARTAC) system that uses the spectrogram to obtain the time-frequency representation (TFR) and apply analysis tools such as the instantaneous energy, instantaneous frequency and other related tools to estimate various signal parameters. The estimated parameters are used as input to the rule-based classifier which classifies the signal appropriately. Monte-Carlo simulation is then carried out to determine the accuracy of signal classification at various signal-to-noise ratios (SNRs) in additive white Gaussian noise (AWGN). The method used achieves 90 percent classification accuracy at SNR of 6.2dB.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:electronic support, instantaneous energy, instantaneous frequency
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:59150
Deposited By: Haliza Zainal
Deposited On:18 Jan 2017 01:50
Last Modified:19 Aug 2021 04:26

Repository Staff Only: item control page