Simulation of Radar Modulation Estimation Using Curvelet Transform for EW Applications
Abstract:
State-of-the-art distributed system development with low power specifications is especially required for different applications. Ultra-wideband radar (UWB), Multi Input Multi Output radar (MIMO), and cognitive-based radar technology are the current trends in modern radar systems. Current EW systems are developed with digital receiver technology using Nyquist Sampling. Radar modulation recognition and correct radar identification are essential requirements for EW receiver systems. The radar signal acquisition through compressed sensing and reducing the number of samples using sub-Nyquist sampling play a vital role in EW systems. Random Modulator pre-integrator (RMPI) is a current concept for extracting waveforms with dominant base vectors. RMPI explores the structural and geometrical properties of the signal apart from traditional time and frequency domain analysis for improved identification. The Curvelet transform-based RMPI methodology is an inverse problem with exceptionally fewer measurements. In this paper, Curvelet-based modulation estimation, identification of radars, and Curvelet-simulated results of different radar waveforms with noise are depicted. The discrete Curvelet transform algorithm (USFFT) is simulated with an input signal of Ultra-Wide Band (UWB) pulse, pulse spikes, Linear Frequency Modulated (LFM), and Barker-coded pulse waveforms. The FFT output is also measured with Nyquist samples for comparison. This paper has contributed the simulation of Electronic Warfare techniques with Modulation Estimations as part of ESM (Electronic Support Measure), the Compressed sensing and Curvelet-based modulation estimation, identification of radars simulated with different radar waveforms with/ without noise, and the discrete Curvelet transform algorithm is simulated with input signal of UWB pulse, pulse spikes, LFM, and Barker coded.
AUTHORS
Indian Institute of Information Technology Design and Manufacturing
Kurnool, India
Krishna Naik (Senior Member, IEEE) working as Associate Professor at the Indian Institute of Information Technology Design and Manufacturing Kurnool, received a bachelor's degree in Electronics and Communication Engineering from Sri Krishnadevaraya University, Anantapur, India, in 2002, Post-graduation from Indian Institute of Information Technology Allahabad (IIIT Allahabad), India, in 2004 and Doctoral degree from Jawaharlal Nehru Technological University Anantapur, Anantapur, India, in 2010. Prior to joining this institute, he worked as an Assistant Professor in the Department of Electronics Engineering, Defence Institute of Advanced Technology (DIAT), Pune, India. He was a Teacher of the Year awardee in 2016. His current areas of interest include Electronic Warfare Applications, Software Defined Radio, Wireless Networks, and Mobile Ad-Hoc Networks.
Published In
Journal of Information Warfare
The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.
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