On Joint Compressed Sensing Based Channel Estimation and Nonuniform PTS PAPR Reduction without Side Information

2016 ◽  
Vol 39 (6) ◽  
pp. 445-449 ◽  
Author(s):  
Seyyed Hadi Seyyed Masoumian ◽  
Behzad Mozaffari Tazehkand
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Side Information ◽  
Papr Reduction

scholarly journals PAPR Reduction Approach Based on Channel Estimation Pilots for Next Generations Broadcasting Systems

2011 ◽  
Vol 2011 ◽  
pp. 1-17 ◽  
Author(s):  
Anh-Tai Ho ◽  
Jean-François Helard ◽  
Youssef Nasser ◽  
Yves Louet
Keyword(s):  
Channel Estimation ◽  
Spectral Efficiency ◽  
Orthogonal Frequency Division Multiplexing ◽  
Side Information ◽  
Estimation Error ◽  
Average Power ◽  
Gradient Algorithm ◽  
Papr Reduction ◽  
Blind Detection ◽  
Ofdm Systems

A novel peak-to-average power ratio (PAPR) reduction technique for orthogonal frequency division multiplexing (OFDM) systems is addressed. Instead of using dedicated pilots for PAPR reduction as with tone reservation (TR) method selected by the DVB-T2 standard, we propose to use existing pilots used for channel estimation. In this way, we avoid the use of reserved tone pilots and then improve the spectral efficiency of the system. In order to allow their recovery at the receiver, these pilots have to follow particular laws which permit their blind detection and avoid sending side information. In this work, we propose and investigate a multiplicative law operating in discrete frequency domain. The operation in discrete domain aims at reducing degradation due to detection and estimation error in continuous domain. Simulation results are performed using the new DVB-T2 standard parameters. Its performance is compared to the DVB-T2 PAPR gradient algorithm and to the second-order cone programming (SOCP) competitive technique proposed in the literature. We show that the proposed technique is efficient in terms of PAPR reduction value and of spectral efficiency while the channel estimation performance is maintained.

PTS-Based PAPR Reduction by Iterative p-Norm Minimization without Side Information in OFDM Systems

2018 ◽  
Vol E101.B (3) ◽  
pp. 856-864 ◽  
Author(s):  
Moeko YOSHIDA ◽  
Hiromichi NASHIMOTO ◽  
Teruyuki MIYAJIMA
Keyword(s):  
Side Information ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Norm Minimization

A Sparsity Enhanced Channel Estimation Algorithm Based on Compressed Sensing in MIMO-OFDM Systems

2014 ◽  
Vol 35 (3) ◽  
pp. 665-670 ◽  
Author(s):  
Zhi-bin Xie ◽  
Tong-si Xue ◽  
Yu-bo Tian ◽  
Wei-chen Zou ◽  
Qing-hua Liu ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Estimation Algorithm ◽  
Ofdm Systems ◽  
Mimo Ofdm

Compressed Sensing Based Channel Estimation for Two-Way Relay Networks

2012 ◽  
Vol 1 (3) ◽  
pp. 201-204 ◽  
Author(s):  
Peng Cheng ◽  
Lin Gui ◽  
Yun Rui ◽  
Y. Jay Guo ◽  
Xiaojing Huang ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Relay Networks
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