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FastICA Algorithm Applied to Scattered Electromagnetic Signals

Publication Type : Conference Paper

Publisher : International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2019, Springer Singapore

Source : International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2019, Springer Singapore, Volume 637, Singapore, p.27-34 (2019)

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

ISBN : 9789811526121

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2019

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.

Cite this Research Publication : P. M. Rao, Sunitha, R., and Dr. Dhanesh G. Kurup, “FastICA Algorithm Applied to Scattered Electromagnetic Signals”, in International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2019, Singapore, 2019, vol. 637, pp. 27-34.

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