Channel Estimation Method for OFDM Communication System using Adaptive Singular Spectrum Analysis

被引：0
作者：
Vasylyshyn, Volodymyr [1 ]
机构：
[1] Kharkiv Natl Air Force Univ, Dept Automated Control Syst & Ground Support Avia, Kharkiv, Ukraine
来源：
2020 IEEE 40TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO) | 2020年
关键词：
singular spectrum analysis; channel estimation; OFDM; minimum mean square error;
D O I：
10.1109/elnano50318.2020.9088787
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In the paper the method for OFDM (orthogonal frequency division multiplexing) channel estimation using modified adaptive singular spectrum analysis (SSA) is proposed. The difference of adaptive SSA as compared to usual SSA is additional noise reduction at singular value level. Adaptive SSA- based preprocessing of input data is performed. Adaptive SSA is also used for low rank approximation of linear minimum mean square error (MMSE) estimator. The feasible paths of improvement of the proposed approach are considered. The simulation results related with bit error rate calculation confirm the improved performance of the considered approach in the channel estimation problem.
引用
收藏
页码：884 / 887
页数：4
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