DocumentCode
1338120
Title
Precoding for PAPR Reduction of OFDM Signals With Minimum Error Probability
Author
Hao, Miin-Jong ; Lai, Chiu-Hsiung
Author_Institution
Dept. of Comput. & Commun. Eng., Nat. Kaohsiung First Univ. of Sci. & Technol., Yanchao Shiang, Taiwan
Volume
56
Issue
1
fYear
2010
fDate
3/1/2010 12:00:00 AM
Firstpage
120
Lastpage
128
Abstract
The precoding technique is an effective and flexible way for reducing the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, different precoding schemes will increase error probabilities of the system. With the knowledge of the channel information and the receiver filter, we derive a necessary condition on the chosen precoding matrices for minimizing error probability of the OFDM system in the additive white Gaussian noise (AWGN) channel. A systematic procedure in designing such an optimal precoding matrix is provided. With a proper selection, the optimal precoding matrix can meet the requirements of PAPR reduction and achieve the minimum error probability in white Gaussian noise. Our simulation results show that the chosen precoding matrix notably outperforms other general precoding matrices in both AWGN and multipath fading channels. We also proved that the precoding matrix with all the singular values equal to 1 is one of the optimal solutions.
Keywords
AWGN channels; OFDM modulation; error statistics; fading channels; multipath channels; precoding; AWGN channel; OFDM signals; PAPR reduction; additive white Gaussian noise channel; channel information; error probabilities; multipath fading channels; optimal precoding matrix; orthogonal frequency division multiplexing signals; peak-to-average power ratio; receiver filters; AWGN; Error probability; Frequency domain analysis; Information filtering; Information filters; OFDM; Partial transmit sequences; Peak to average power ratio; Signal processing; Transmitters; Minimum BER; OFDM; PAPR; precoding matrix;
fLanguage
English
Journal_Title
Broadcasting, IEEE Transactions on
Publisher
ieee
ISSN
0018-9316
Type
jour
DOI
10.1109/TBC.2009.2034512
Filename
5339108
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