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.

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Keywords Adversary target identification, blind compressive sensing (CS), electronic warfare (EW) receiver, sparse Bayesian learning (SBL), threat waveform recognition
Persistent URL dx.doi.org/10.1109/TAES.2017.2680686
Journal IEEE Transactions on Aerospace and Electronic Systems
Salari, S. (Soheil), Kim, I.-M. (Il-Min), Chan, F. (Francois), & Rajan, S. (2017). Blind Compressive-Sensing-Based Electronic Warfare Receiver. IEEE Transactions on Aerospace and Electronic Systems, 53(4), 2014–2015. doi:10.1109/TAES.2017.2680686