Blind Signal Separation of Unknown Source Number under the Constraint Based on Uniform Linear Array
Jin-de Huang, Bin Liao, Bing Chen
Available Online July 2017.
- https://doi.org/10.2991/iccse-17.2017.1How to use a DOI?
- Blind signal separation, Uniform linear array, Unknown source number, Kurtosis
- Regarding blind signal separation based on eigenvalue decomposition, when the spatial dimension of signal is wrong in case of unknown source quantity, it will result in significant separation errors. By making use of kurtosis as the cost function, this paper attempts to construct a blind signal separation algorithm taking "space-kurtosis" spectrum as the basis, thus avoiding eigenvalue decomposition. Meanwhile, in the operation process, the source signal statistic independence and spatial distribution independence are fully utilized. It is proved by simulation experiments that the algorithm is with characteristics of high accuracy, fast operation and strong robustness.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jin-de Huang AU - Bin Liao AU - Bing Chen PY - 2017/07 DA - 2017/07 TI - Blind Signal Separation of Unknown Source Number under the Constraint Based on Uniform Linear Array BT - 2017 International Conference on Computational Science and Engineering(ICCSE 2017) PB - Atlantis Press SP - 1 EP - 8 SN - 2352-538X UR - https://doi.org/10.2991/iccse-17.2017.1 DO - https://doi.org/10.2991/iccse-17.2017.1 ID - Huang2017/07 ER -