The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
SSP(스펙트럼 조각 프리코더)는 OFDM(주파수 분할 다중화) 신호의 사이드로브 억제를 위한 프리코딩 방식입니다. 선택한 주파수에서 깊은 스펙트럼 노치를 형성할 수 있으며 인지 무선 시스템에 적합합니다. 그러나 SSP는 노치 주파수의 수가 증가함에 따라 오류율을 저하시킵니다. SSP를 향상시키는 직교 프리코딩은 스펙트럼 노칭과 이상적인 오류율을 모두 얻을 수 있지만 프리코더 행렬의 크기가 크기 때문에 계산 복잡도가 매우 높습니다. 본 논문에서는 직교 프리코딩의 계산 복잡도를 줄이기 위해 QR 분해를 통한 프리코더 행렬의 효과적이고 등가적인 분해를 제안한다. 수치 실험을 통해 제안된 방법이 성능 저하 없이 계산 복잡도를 획기적으로 줄일 수 있음을 보여줍니다.
Hikaru KAWASAKI
Osaka Prefecture University
Masaya OHTA
Osaka Prefecture University
Katsumi YAMASHITA
Osaka Prefecture University
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부
Hikaru KAWASAKI, Masaya OHTA, Katsumi YAMASHITA, "Matrix Decomposition of Precoder Matrix in Orthogonal Precoding for Sidelobe Suppression of OFDM Signals" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 7, pp. 1716-1722, July 2018, doi: 10.1587/transcom.2017EBP3329.
Abstract: The spectrum sculpting precoder (SSP) is a precoding scheme for sidelobe suppression of frequency division multiplexing (OFDM) signals. It can form deep spectral notches at chosen frequencies and is suitable for cognitive radio systems. However, the SSP degrades the error rate as the number of notched frequencies increases. Orthogonal precoding that improves the SSP can achieve both spectrum notching and the ideal error rate, but its computational complexity is very high since the precoder matrix is large in size. This paper proposes an effective and equivalent decomposition of the precoder matrix by QR-decomposition in order to reduce the computational complexity of orthogonal precoding. Numerical experiments show that the proposed method can drastically reduce the computational complexity with no performance degradation.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3329/_p
부
@ARTICLE{e101-b_7_1716,
author={Hikaru KAWASAKI, Masaya OHTA, Katsumi YAMASHITA, },
journal={IEICE TRANSACTIONS on Communications},
title={Matrix Decomposition of Precoder Matrix in Orthogonal Precoding for Sidelobe Suppression of OFDM Signals},
year={2018},
volume={E101-B},
number={7},
pages={1716-1722},
abstract={The spectrum sculpting precoder (SSP) is a precoding scheme for sidelobe suppression of frequency division multiplexing (OFDM) signals. It can form deep spectral notches at chosen frequencies and is suitable for cognitive radio systems. However, the SSP degrades the error rate as the number of notched frequencies increases. Orthogonal precoding that improves the SSP can achieve both spectrum notching and the ideal error rate, but its computational complexity is very high since the precoder matrix is large in size. This paper proposes an effective and equivalent decomposition of the precoder matrix by QR-decomposition in order to reduce the computational complexity of orthogonal precoding. Numerical experiments show that the proposed method can drastically reduce the computational complexity with no performance degradation.},
keywords={},
doi={10.1587/transcom.2017EBP3329},
ISSN={1745-1345},
month={July},}
부
TY - JOUR
TI - Matrix Decomposition of Precoder Matrix in Orthogonal Precoding for Sidelobe Suppression of OFDM Signals
T2 - IEICE TRANSACTIONS on Communications
SP - 1716
EP - 1722
AU - Hikaru KAWASAKI
AU - Masaya OHTA
AU - Katsumi YAMASHITA
PY - 2018
DO - 10.1587/transcom.2017EBP3329
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2018
AB - The spectrum sculpting precoder (SSP) is a precoding scheme for sidelobe suppression of frequency division multiplexing (OFDM) signals. It can form deep spectral notches at chosen frequencies and is suitable for cognitive radio systems. However, the SSP degrades the error rate as the number of notched frequencies increases. Orthogonal precoding that improves the SSP can achieve both spectrum notching and the ideal error rate, but its computational complexity is very high since the precoder matrix is large in size. This paper proposes an effective and equivalent decomposition of the precoder matrix by QR-decomposition in order to reduce the computational complexity of orthogonal precoding. Numerical experiments show that the proposed method can drastically reduce the computational complexity with no performance degradation.
ER -