Title
A Blind Side Information Detection Method for Partial Transmitted Sequence Peak-to-Average Power Reduction Scheme in OFDM Underwater Acoustic Communication System.
Abstract
In this paper, we propose a blind side information detection scheme for partial transmitted sequence (PTS) peak-to-average power ratio reduction (PAPR) method in underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) communication systems. The proposed scheme employs a corresponding table between the distributions of pilot tones and the phase rotation candidates to obtain a pseudo-optimum PTS PAPR reduction performance and a dramatic reduction of the total calculation cost. Meanwhile, predefined distributions of pilot tones are used to identify the phase rotation factor combination that has been selected and used at the transmitter. The spectral efficiency and data rate remain unaffected as the proposed PTS technique requires no additional pilot tones except for the tones used for channel estimation. Due to the sparse characteristic of the underwater acoustic channel, compressed sensing is adopted to complete the channel estimation and the phase rotation detection. The basis pursuit denoising algorithm employed here reduces the number of pilot tones as compared with linear channel estimation method. Simulation results show that the proposed scheme has better PAPR reduction performance compared to the conventional PTS scheme and the performance gap increases with the number of subblocks. Simulation and field experimental results demonstrate that the proposed scheme can differentiate the phase rotation factor. Therefore, the quality of the UWA OFDM communication system is significantly enhanced.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2829620
IEEE ACCESS
Keywords
Field
DocType
Orthogonal frequency division multiplexing (OFDM),peak-to-average power ratio (PAPR) reduction,partial transmitted sequence (PTS),side information,underwater acoustic communication (UAC)
Transmitter,Underwater acoustic communication,Basis pursuit denoising,Computer science,Communication channel,Communications system,Algorithm,Spectral efficiency,Compressed sensing,Orthogonal frequency-division multiplexing,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
1
PageRank 
References 
Authors
0.36
0
3
Name
Order
Citations
PageRank
Siyu Xing110.36
gang qiao265.29
Ma Lu31810.61