A New Approach to Iterative Clipping and Filtering PAPR Reduction Scheme for OFDM Systems

Anoh, Kelvin; Tanriover, Cagri; Adebisi, Bamidele; Hammoudeh, Mohammad

doi:10.1109/access.2017.2751620

Cited by 64 publications

(55 citation statements)

References 26 publications

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“…In other words, the threshold value corresponds to the achievable PAPR. As for comparison with other approaches, although methods in [31] [32] show lower PAPR than the proposed method, it suffers from high in-band distortion which results in BER degradation as discussed in Fig. 12(b).…”

Section: Performance Results and Discussionmentioning

confidence: 98%

“…We also evaluate prior limiter based techniques in [31]- [32]. In [31], the peak detection threshold at n-th iteration A (n) th in repeated C&F is adaptively determined as where x(s∆t) denotes the transmit signal before C&F operation and ∆t denotes sampling interval. N f and N p are the number of FFT points and the number of OFDM samples exceeding A (n−1) th , respectively.…”

Section: Performance Results and Discussionmentioning

confidence: 99%

“…Here, we use CCDF to evaluate the statistical distribution and the instantaneous is normalized by average power of the signal. For comparison, CCDFs of cases of repeated C&F in [18] [19] and other limiter based approaches in [31] [32] are also shown. In repeated C&F [18][19], we note here that both ACLR and EVM satisfy the required values.…”

Section: Performance Results and Discussionmentioning

confidence: 99%

“…The Purple line shows the BER of the repeated C&F [18] using the same threshold as the proposed peak cancellation. The blue line and the green line show the BER of the repeated C&F in [31] and (EVMӌ-20dB) [32] (EVM=-11.5dB) Ideal (EVM=-) [31] (EVM=-15.3dB) [18] (EVM=-21dB) (a) QPSK. (EVMӌ-25dB) [32] (EVM=-11.5dB) Ideal (EVM=-) [31] (EVM=-15.3dB) [18] (EVM=-26dB) (b) 16QAM.…”

Section: B Bermentioning

confidence: 99%

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Performance Analysis of OFDM With Peak Cancellation Under EVM and ACLR Restrictions

Kageyama

Muta

Gacanin

2020

IEEE Trans. Veh. Technol.

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This paper presents performance analysis of an adaptive peak cancellation method to reduce the high peak-toaverage power ratio (PAPR) for OFDM systems, while keeping the out-of-band (OoB) power leakage as well as an in-band distortion power below the pre-determined level. In this work, the increase of adjacent leakage power ratio (ACLR) and error vector magnitude (EVM) are estimated recursively using the detected peak amplitude. We present analytical framework for OFDM-based systems with theoretical bit error rate (BER) representations and detection of optimum peak threshold based on predefined EVM and ACLR requirements. Moreover, the optimum peak detection threshold is selected based on the oretical design to maintain the predefined distortion level. Thus, their degradations are automatically restricted below the pre-defined levels which correspond to target OoB radiation. We also discuss the practical design of peak-cancellation (PC) signal with target OoB radiation and in-band distortion through optimizing the windowing size of the PC signal. Numerical results show the improvements with respect to both achievable bit error rate (BER) and PAPR with the PC method in eigen-beam space division multiplexing (E-SDM) systems under restriction of OoB power radiation. It can also be seen that the theoretical BER shows good agreements with simulation results.

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Section: Performance Results and Discussionmentioning

confidence: 98%

Section: Performance Results and Discussionmentioning

confidence: 99%

Section: Performance Results and Discussionmentioning

confidence: 99%

Section: B Bermentioning

confidence: 99%

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Performance Analysis of OFDM With Peak Cancellation Under EVM and ACLR Restrictions

Kageyama

Muta

Gacanin

2020

IEEE Trans. Veh. Technol.

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“…To solve the high PAPR problem, many PAPR reduction methods have been proposed for OFDM signal such as data coding technique [5,6], clipping and filtering technique [7,8], phase scrambling technique i.e. selective mapping (SLM) [9,10], PTS [11,12].…”

Section: Introductionmentioning

confidence: 99%

A Low-Complexity PAPR Reduction for Space-Time Block Code MIMO-OFDM by using modified-PTS with ABC-Concurrent Algorithm

Boontra¹,

Mata²,

Boonsrimuang³

2020

IJIES

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One of the problems of using Orthogonal Frequency Division Multiplexing (OFDM) technique is the higher Peak-to-Average Power Ratio (PAPR) which leads to the fatal degradation of the system performance in the non-linear channel. To solve this problem, the partial transmit sequence (PTS) was proposed for Space-Time Block Code (STBC) with Multi-Input and Multi-Output (MIMO)-OFDM as STBC MIMO-OFDM system which can reduce the PAPR effectively. However, its complexity in the PAPR reduction process becomes higher in proportion to the increase of its considered cluster number. To solve this problem, this paper proposes a low-complexity PAPR reduction by using the modified-PTS with artificial bee colony (ABC) and concurrent algorithm as ABC-Concurrent algorithm for STBC MIMO-OFDM system which can improve better PAPR with low-complexity and can perform better Bit-Error-Rate (BER) in the non-linear channel. The silent features of the proposed modified-PTS with ABC-Concurrent algorithm are to reduce the PAPR with decreasing side information (SI) to half by modifying PTS with the concurrent algorithm and to reduce the complexity in PAPR reduction process by applying ABC algorithm for STBC MIMO-OFDM system. From the various results by using computer simulation, it can be confirmed that the proposed modified-PTS with ABC-Concurrent algorithm can reduce PAPR by approximately 3.4 and 0.4 dB at CCDF 10-3 as comparing with the original STBC MIMO-OFDM and conventional PTS methods respectively, and can use the complexity approximately only 19% in PAPR reduction process which is decreased a lot from using the conventional PTS method. Moreover, the proposed method can perform the better BER in the non-linear channel than the original STBC MIMO-OFDM and the conventional. PTS methods which is close to that of operating in nonlinear channel.

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An optimal nonlinear companding transform with clipping scheme for universal filtered multicarrier systems

Chintala

Anuradha

2020

Int J Communication

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SummaryIn this article, an exponential companding (EC) scheme, which can reduce PAPR without raising the average output power level, is proposed for universal filtered multi carrier (UFMC) signals. However, EC scheme degrades the BER performance. Therefore, an optimal nonlinear companding transform named as “modified exponential companding” (MEC), which can use two companding levels based on a threshold value, is proposed. The proposed MEC scheme shows enhanced PAPR and BER performances than EC scheme. Moreover, the MEC provides more design flexibility and freedom with an unchanged average output power level. Furthermore, a hybrid scheme is also proposed to improve PAPR performance, where clipping operation is employed on MEC signal based on an appropriate clipping threshold. Simulation results illustrate that proposed MEC scheme offers improved system performance with a net gain of 7.22 dB than conventional EC and μ‐law techniques. Besides, the proposed hybrid scheme with clipping ratio 1.3 proffers enhanced PAPR reduction of 8.85 dB and improved net gain of 7.95 dB. Also, the proposed EC, MEC, and hybrid schemes can provide lesser spectrum side‐lobe levels than μ‐law. Finally, the UFMC system with the proposed hybrid scheme is verified by employing wireless open‐access research platform (WARP) as hardware over real‐time channel.

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A New Approach to Iterative Clipping and Filtering PAPR Reduction Scheme for OFDM Systems

Cited by 64 publications

References 26 publications

Performance Analysis of OFDM With Peak Cancellation Under EVM and ACLR Restrictions

Performance Analysis of OFDM With Peak Cancellation Under EVM and ACLR Restrictions

A Low-Complexity PAPR Reduction for Space-Time Block Code MIMO-OFDM by using modified-PTS with ABC-Concurrent Algorithm

An optimal nonlinear companding transform with clipping scheme for universal filtered multicarrier systems

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