A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 6 Issue 2
Mar.  2019

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Lichuan Liu, "An Intelligent Optimization Approach to Non-stationary Interference Suppression for Wireless Networks," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 452-459, Mar. 2019. doi: 10.1109/JAS.2019.1911396
Citation: Lichuan Liu, "An Intelligent Optimization Approach to Non-stationary Interference Suppression for Wireless Networks," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 452-459, Mar. 2019. doi: 10.1109/JAS.2019.1911396

An Intelligent Optimization Approach to Non-stationary Interference Suppression for Wireless Networks

doi: 10.1109/JAS.2019.1911396
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  • In this paper, we propose a new technique to effectively suppress non-stationary interference signal for wireless networks. This technique combines a new scheme of interference signal estimation with the intelligent optimization projection. In order to capture interference signal's subspace, a time-varying method is used to estimate the non-stationary interference. Orthogonal polynomials are used for the basis function instead of the power of the time to reduce the computational complexity. The interference is then removed from the corrupted signal by subspace projection, resulting in less distortion to the desired signal. The performance of this approach is validated by computer simulation.

     

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