Research on Nonlinear Distortion Recovery Based on Compressed Sensing in OFDM System

Hui ZHAO; Jinrong MO; Wei WANG; Zhenjiang SUN; Tianqi ZHANG

doi:10.11999/JEIT200374

Volume 43 Issue 7

Jul. 2021

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(7): 1907-1912

Hui ZHAO, Jinrong MO, Wei WANG, Zhenjiang SUN, Tianqi ZHANG. Research on Nonlinear Distortion Recovery Based on Compressed Sensing in OFDM System[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1907-1912. doi: 10.11999/JEIT200374

Citation:

Hui ZHAO, Jinrong MO, Wei WANG, Zhenjiang SUN, Tianqi ZHANG. Research on Nonlinear Distortion Recovery Based on Compressed Sensing in OFDM System[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1907-1912. doi: 10.11999/JEIT200374

Citation:

PDF( 1044 KB)

Research on Nonlinear Distortion Recovery Based on Compressed Sensing in OFDM System

doi: 10.11999/JEIT200374

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing 400065, China
2.
Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received Date: 2020-05-12
Rev Recd Date: 2020-11-10

Available Online: 2020-12-09

Publish Date: 2021-07-10

Abstract

Abstract

The Peak to Average Power Ratio (PAPR) problem of OFDM system reduces the transmission efficiency of the system, increases the difficulty of demodulation, and makes the High Power Amplifier (HPA) to saturation. In order to solving the problem of nonlinear distortion caused by clipping and HPA, the proposed scheme uses preprocessing method based on Taylor series to deal with nonlinear interference so that to minimize the influence of signal distortion. At the transmitter, the PAPR of the signal is reduced by clipping, and the transmission process is considered as a whole based on the sparsity of clipping noise in the time domain. Finally, the total nonlinear distortion signal is recovered by using the Orthogonal Matching Pursuit (OMP) algorithm. The simulation results show that the proposed method can effectively suppress the interference signals of the system, reduce the nonlinear influence of useful signals, and verify the correctness of the scheme.
- Orthogonal Frequency Division Multiplexing(OFDM),
- Compressive Sensing(CS),
- Peak to Average Power Ratio(PAPR),
- Nonlinear distortion

FullText(HTML)

References(6)

References

[1]	AL-SAFADI E B and AL-NAFFOURI T Y. Peak reduction and clipping mitigation in OFDM by augmented compressive sensing[J]. IEEE Transactions on Signal Processing, 2012, 60(7): 3834–3839. doi: 10.1109/TSP.2012.2193396
[2]	GHASSEMI A, GHASEMNEZAD H, and GULLIVER T. Compressive sensing based estimation of OFDM nonlinear distortion[C]. Proceeding of 2014 IEEE International Conference on Communications, Sydney, Australia, 2014: 5055–5059.
[3]	KIM K H, PARK H, NO J S, et al. Clipping noise cancelation for OFDM systems using reliable observations based on compressed sensing[J]. IEEE Transactions on Broadcasting, 2015, 61(1): 111–118. doi: 10.1109/TBC.2014.2374222
[4]	YANG Lin, SONG Kun, SIU Y M. Iterative clipping noise recovery of OFDM signals based on compressed sensing[J]. IEEE Transactions on Broadcasting, 2017, 63(4): 706–713. doi: 10.1109/TBC.2017.2669641
[5]	杨霖, 何向东, 丁长文. OFDM系统中基于限幅和压缩感知的非线性失真补偿算法[J]. 电子学报, 2016, 44(9): 2051–2056. doi: 10.3969/j.issn.0372-2112.2016.09.004 YANG Lin, HE Xiangdong, and DING Changwen. Compensation method for nonlinear distortion based on clipping and compressive sensing in OFDM system[J]. Acta Electronica Sinica, 2016, 44(9): 2051–2056. doi: 10.3969/j.issn.0372-2112.2016.09.004
[6]	CUI Gaofeng, WANG Cheng, and WANG Weidong. Iterative detection with amplitude-phase demodulator for dual-stream CE-OFDM[J]. IEEE Communications Letters, 2017, 21(9): 2001–2004. doi: 10.1109/LCOMM.2017.2706260