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FastICA Algorithm Applied to Scattered Electromagnetic Signals

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International Conference on Communication, Computing and Electronics Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 637))

Abstract

In this article, a method based on blind source separation (BSS) is applied for separating multiple scattered electromagnetic signals. For BSS, we used fast independent component analysis (FastICA) algorithm. It is shown that individual echoes from the targets can be separated from multiple electromagnetic echoes collected at different spatially separated antennas. For generating the test data, we used a numerical electromagnetic tool. It is concluded that FastICA has the potential for separating echoes from multiple targets in the area of radar systems.

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Correspondence to Dhanesh G. Kurup .

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Rao, M.P., Sunitha, R., Kurup, D.G. (2020). FastICA Algorithm Applied to Scattered Electromagnetic Signals. In: Bindhu, V., Chen, J., Tavares, J. (eds) International Conference on Communication, Computing and Electronics Systems. Lecture Notes in Electrical Engineering, vol 637. Springer, Singapore. https://doi.org/10.1007/978-981-15-2612-1_3

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  • DOI: https://doi.org/10.1007/978-981-15-2612-1_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2611-4

  • Online ISBN: 978-981-15-2612-1

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