Mixing Matrix Estimation Method for UBSS based on Observed Data Segmentation
Pages 149 - 154
Abstract
This paper presents a mixing matrix estimation method for underdetermined blind source separation (UBSS) when source signals are insufficiently sparse. Main ideas are as follows: Observed signals are segmented. Then mixing matrices for every segment of observed signals are estimated using overdetermined blind source separation (OBSS) algorithms, and these mixing matrices are obtained, forming a mixing matrix combination. The fuzzy c-means (FCM) method is adopted to process the mixing matrix combination, obtaining the final number of source signals and mixing matrix. This estimation method assumes that source signals are independent but unnecessarily sparse. To verify the effectiveness of this estimation method, simulations are performed at the aspects of close arrival angles of source signals, changes in the segmentation length of observed signals, and changes in the number of source and observed signals.
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Index Terms
- Mixing Matrix Estimation Method for UBSS based on Observed Data Segmentation
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Published In
November 2018
166 pages
ISBN:9781450365673
DOI:10.1145/3290480
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Published: 02 November 2018
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ICCNS 2018
ICCNS 2018: 2018 the 8th International Conference on Communication and Network Security
November 2 - 4, 2018
Qingdao, China
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