Clipping noise cancellation in OFDM systems using oversampled signal reconstruction

Saeedi, Hamid; Sharif, M.; Marvasti, Farokh

doi:10.1109/4234.984699

Cited by 74 publications

(32 citation statements)

References 8 publications

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“…all the linearity in High Power Amplifier (HPA) and A/D converter should meet the requirements mentioned above [1][2][3]. Since the equipment that meets these necessities is very expensive, consequently, it is very demanding and important to reduce PAPR in OFDM system.…”

Section: Principal Algorithm For Reducing Paprmentioning

confidence: 99%

“…MIMO-OFDM is an attractive technique for high data rate wireless communication systems, but it exhibits a large peakto-average power ratio (PAPR), due to the superposition of the individual nonlinear region of High Power Amplifier (HPA) [1][2][3], and the signal distortion induces the degradation of Bit Error Rate (BER). Therefore, RF power amplifiers should operate in a very large linear region to avoid the signal peaks from getting into the non-linear region of the power amplifier causing in-band distortion.…”

Section: Introductionmentioning

confidence: 99%

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Performance Improvement of MIMO-OFDM Wireless Systems using PAPR Reduction Techniques

MabroukAbdelhamid¹,

Abdel-Rahman²,

Farrag³

2012

IJCA

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High Peak to Average Power Ratio (PAPR) for MIMO-OFDM system is still a demanding area and difficult issue. The radio transmitter stations for covering and getting enough transmitted power in their desired area has to use High Power Amplifier (HPA). On the other hand, in order the HPA to have the most output power efficiency must be designed to work close to the saturation region, therefore due to the high PAPR of input signals, a factor which is called memory-less nonlinear distortion will affect the communication channels. We know the MIMO-OFDM receiver's efficiency is sensitive to the HPA. If the high power amplifier doesn't work in linear region, it can cause the out-of-band power to be kept under the specified limits. This condition can cause inefficient amplification and expensive transmitters, thus it is necessary to investigate PAPR reduction techniques for MIMO-OFDM system. By now, for reducing PAPR, numerous techniques have been recommended. In this paper the performance and the efficiency of two types of them will be discussed and simulated and then we will propose our suggested method for a conventional OFDM system.

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Section: Principal Algorithm For Reducing Paprmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Improvement of MIMO-OFDM Wireless Systems using PAPR Reduction Techniques

MabroukAbdelhamid¹,

Abdel-Rahman²,

Farrag³

2012

IJCA

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“…Clipping can efficiently eliminate high peaks in OFDMA signals, however, will introduce clipping noise. Some schemes have been proposed to mitigate the clipping noise in OFDM systems, including decision aided reconstruction [7], iterative clipping noise estimation [8], and oversampling based clipping noise elimination [9]. However, to the authors' best of knowledge, for OFDMA systems, no efficient clipping noise compensation method has been reported to date.…”

Section: Introductionmentioning

confidence: 99%

Clipping Noise Compensation for OFDMA Systems

Chen

Zhang

Jayalath

2009

2009 Australian Communications Theory Workshop

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Abstract-This paper presents an efficient low-complexity clipping noise compensation scheme for PAR reduced orthogonal frequency division multiple access (OFDMA) systems. Conventional clipping noise compensation schemes proposed for OFDM systems are decision directed schemes which use demodulated data symbols. Thus these schemes fail to deliver expected performance in OFDMA systems where multiple users share a single OFDM symbol and a specific user may only know his/her own modulation scheme. The proposed clipping noise estimation and compensation scheme does not require the knowledge of the demodulated symbols of the other users, making it very promising for OFDMA systems. It uses the equalized output and the reserved tones to reconstruct the signal by compensating the clipping noise. Simulation results show that the proposed scheme can significantly improve the system performance.

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“…In these methods, if the out-of-band components of the signal are removed completely, the reconstruction procedure fails [15,16]. On the basis of [14][15][16], a clipping noise cancellation model using oversampled signal is unveiled in [17]. In this study, rst, the oversampled signal is clipped; then, some out-of-band components of the clipped signal are saved during out-of-band ltering procedure.…”

Section: Introductionmentioning

confidence: 99%

Amplitude reconstruction of clipped OFDM by using DFT-based least squares

Ahmadi

Talebi

2017

Scientia Iranica

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Abstract. OFDM is an e ective multicarrier transmission technique with one primary disadvantage; it su ers from high Peak-to-Average Power Ratio (PAPR). Although clipping and ltering is a simple and e ective method for PAPR reduction, it makes in-band and out-of-band noise, which degrades the bit error rate performance and spectral e ciency. Publications on this subject show that clipped samples could be reconstructed at the receiver by using oversampled signal and bandwidth expansion. By building on published literature, this paper aims to achieve a low-complexity method. The proposed method has complexity order of O(L 2 ) to solve linear system, where L indicates the number of clipped samples. Simulation results con rm that our proposed method leads to both a better biterror rate performance and a lower complexity than similar methods. These results also show that our method o ers adequate performance, especially at low clipping ratios.

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Clipping noise cancellation in OFDM systems using oversampled signal reconstruction

Cited by 74 publications

References 8 publications

Performance Improvement of MIMO-OFDM Wireless Systems using PAPR Reduction Techniques

Performance Improvement of MIMO-OFDM Wireless Systems using PAPR Reduction Techniques

Clipping Noise Compensation for OFDMA Systems

Amplitude reconstruction of clipped OFDM by using DFT-based least squares

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