IEIE Transactions on Smart Processing and Computing

대한전자공학회 (The Institute of Electronics and Information Engineers)
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Matrix Decomposition for Low Computational Complexity in Orthogonal Precoding of N-continuous Schemes for Sidelobe Suppression of OFDM Signals

  • Kawasaki, Hikaru (Department of Electrical and Information Systems, Graduate School of Engineering, Osaka Prefecture University) ;
  • Matsui, Takahiro (Department of Electrical and Information Systems, Graduate School of Engineering, Osaka Prefecture University) ;
  • Ohta, Masaya (Department of Electrical and Information Systems, Graduate School of Engineering, Osaka Prefecture University) ;
  • Yamashita, Katsumi (Department of Electrical and Information Systems, Graduate School of Engineering, Osaka Prefecture University)
  • 투고 : 2016.12.12
  • 심사 : 2017.02.21
  • 발행 : 2017.04.30
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초록

N-continuous orthogonal frequency division multiplexing (OFDM) is a precoding method for sidelobe suppression of OFDM signals and seamlessly connects OFDM symbols up to the high-order derivative for sidelobe suppression, which is suitable for suppressing out-of-band radiation. However, it severely degrades the error rate as it increases the continuous derivative order. Two schemes for orthogonal precoding of N-continuous OFDM have been proposed to achieve an ideal error rate while maintaining sidelobe suppression performance; however, the large size of the precoder matrices in both schemes causes very high computational complexity for precoding and decoding. This paper proposes matrix decomposition of precoder matrices with a large size in the orthogonal precoding schemes in order to reduce computational complexity. Numerical experiments show that the proposed method can drastically reduce computational complexity without any performance degradation.

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참고문헌

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