TY - GEN
T1 - 2-step phase rotation estimation for Low-PAPR signal transmission using blind selected mapping
AU - Boonkajay, Amnart
AU - Adachi, Fumiyuki
N1 - Funding Information:
ACKNOWLEDGMENT This paper includes a part of results of “The research and development project for realization of the fifth-generation mobile communications system,” commissioned to Tohoku University by The Ministry of Internal Affairs and Communications (MIC), Japan.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Blind selected mapping (blind SLM) can effectively reduce the peak-to-average power ratio (PAPR) of both orthogonal frequency division multiplexing (OFDM) and single-carrier (SC) signals without side-information transmission. In typical blind SLM, maximum likelihood (ML) estimation is applied to find the de-mapping phase rotation sequence which gives the lowest Euclidean distance among all possible sequences, resulting in very high computational complexity. In this paper, we introduce a novel low-complexity 2-step estimation suitable for blind SLM. In the first step, the phase rotation sequence achieving the lowest Euclidean distance is searched by using the Viterbi algorithm. In the second step, verification and correction are carried out to choose a phase rotation sequence stored in the codebook, which has the lowest Hamming distance from the estimated sequence in the first step. It is confirmed by computer simulation that our proposed 2-step estimation achieves similar BER performance to the transmission without SLM and the transmission with blind SLM with the conventional ML estimation, but the proposed estimation technique requires much less complexity.
AB - Blind selected mapping (blind SLM) can effectively reduce the peak-to-average power ratio (PAPR) of both orthogonal frequency division multiplexing (OFDM) and single-carrier (SC) signals without side-information transmission. In typical blind SLM, maximum likelihood (ML) estimation is applied to find the de-mapping phase rotation sequence which gives the lowest Euclidean distance among all possible sequences, resulting in very high computational complexity. In this paper, we introduce a novel low-complexity 2-step estimation suitable for blind SLM. In the first step, the phase rotation sequence achieving the lowest Euclidean distance is searched by using the Viterbi algorithm. In the second step, verification and correction are carried out to choose a phase rotation sequence stored in the codebook, which has the lowest Hamming distance from the estimated sequence in the first step. It is confirmed by computer simulation that our proposed 2-step estimation achieves similar BER performance to the transmission without SLM and the transmission with blind SLM with the conventional ML estimation, but the proposed estimation technique requires much less complexity.
KW - DFT-precoded OFDM
KW - OFDM
KW - PAPR
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U2 - 10.1109/PIMRC.2017.8292290
DO - 10.1109/PIMRC.2017.8292290
M3 - Conference contribution
AN - SCOPUS:85045262318
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
SP - 1
EP - 5
BT - 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
Y2 - 8 October 2017 through 13 October 2017
ER -