In this paper, MLP neural network-based approach
is proposed for an efficient direction of arrival (DOA) estimation
of multiple narrow-band electromagnetic sources of stochastic
nature in far-field. Neural network is trained to perform the
mapping from the space of signals described by correlation
matrix, obtained by signal sampling in far-field scan area, to the
space of DOA in angular positions. Accuracy and efficiency of
the proposed approach is validated on two examples determining
the location of one and three stochastic sources in far-field,
respectively, placed at fixed angle distance.
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In this paper, MLP neural network-based approach
is proposed for an efficient direction of arrival (DOA) estimation
of multiple narrow-band electromagnetic sources of stochastic
nature in far-field. Neural network is trained to perform the
mapping from the space of signals described by correlation
matrix, obtained by signal sampling in far-field scan area, to the
space of DOA in angular positions. Accuracy and efficiency of
the proposed approach is validated on two examples determining
t...
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