Abstract
This paper proposes a modified complex ICA algorithm for blind source separation and we apply it in the field of communication reconnaissance. First, Generalized Information Criterion (GIC) and Minimum Description Length (MDL) are used to estimate source signals number. Second, we propose a novel complex independent component analysis (Improved TCMN). The innovation appears in the whitening pre-treatment of TCMN by using the number estimation result of source signals. Finally, this paper gives an application in communication reconnaissance system. Simulation results demonstrate the effectiveness of the new method.
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Dou, Z., Xiao, Z., Zhao, Y., Wang, J. (2017). A Modified Complex ICA for Blind Source Separation and the Application in Communication Reconnaissance. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_43
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DOI: https://doi.org/10.1007/978-981-10-3023-9_43
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