Curvelet

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.

Published In

Volume 23, Issue 2

Written By

Krishna Naik

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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APT

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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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