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Full-Text Articles in Systems and Communications
Sparse Methods For Blind Source Separation Of Frequency Hopping Rf Sources, Anushreya Ghosh
Sparse Methods For Blind Source Separation Of Frequency Hopping Rf Sources, Anushreya Ghosh
Dissertations
Blind source separation (BSS) is performed on frequency hopping (FH) sources. These radio frequency (RF) signals are observed by a uniform linear array (ULA) over a Spatial Channel Model (SCM) in four different propagation environments: (i) line-of-sight (LOS), (ii) single-cluster, (iii) multiple-cluster, and (iv) LOS with interference. The sources are spatially sparse, and their activity is intermittent and assumed to follow a hidden Markov model (HMM). BSS is achieved by utilizing direction of arrival (DOA) of the sources and clusters. A sparse detection framework is applied to obtain estimates of the sources' FH and DOA patterns. The solutions are binned …
Predicting Jamming Systems Frequency Hopping Sequences Using Artificial Neural Networks, Charles Strickland
Predicting Jamming Systems Frequency Hopping Sequences Using Artificial Neural Networks, Charles Strickland
Electronic Theses and Dissertations
This work proposes a neural network architecture that was designed to predict and reverse engineer frequency hopping jamming systems. The neural network was initially optimized for use with a 12th order linear shift feedback register maximum length sequence utilizing a minimal polynomial as the characteristic polynomial. This neural network was then scaled to accommodate 7 different sequences, of orders 6 through 12. The neural network was trained for these sequences using training data that is 10 times the length of the sequence. This information is then used to generate a hopping sequence that reduces the jamming interference to 0 with …