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Source synthesis for training array neural networks

Source synthesis for training array neural networks

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The authors introduce techniques for synthesising realistic multiple source antenna ‘measurements’ from single source measurements and for recalibrating single source baseline measurements after subsequent array failure. Synthesised data are compared with measured data and used to train a neural network to perform direction finding.

References

    1. 1)
      • O'Donnell, T., Simmer, , Southall, H., Klemas, T.: `Neural beamforming for signal detection and location', IEEE MILCOM Conf. Record, October 1994, 2, p. 326–330.
    2. 2)
      • M.J.D. Powell , J.C. Mason , M.G. Cox . (1987) Radial basis functions for multivariable interpolation: A review, Algorithms for approximation.
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