A new compressive-sensing (CS)-based electronic warfare (EW) receiver is designed to estimate the angle-Doppler of adversary targets whose waveforms are unknown. The proposed EW receiver uses a sparse Bayesian learning (SBL) framework, which is blind in the sense that the knowledge of the sparsity basis is not available. Furthermore, a pruning mechanism is proposed to reduce the computational cost and improve convergence speed of the blind-SBL. The convergence of the proposed method is analytically proved.
Blind Compressive-Sensing-Based Electronic Warfare Receiver
IEEE Transactions on Aerospace and Electronic Systems ; 53 , 4 ; 2014-2030
2017-08-01
1200121 byte
Article (Journal)
Electronic Resource
English
Electronic Warfare Optoelectronic Receiver Fundamentals: Applications and Research Opportunities
Springer Verlag | 2016
|A Fiber Bragg Grating Based Scanning Receiver for Electronic Warfare Applications
British Library Conference Proceedings | 2001
|Analysis and Characterization of a Monobit Receiver for Electronic Warfare
Online Contents | 2003
|