Peak to Average Power Ratio Reduction in ECMA-368 Ultra wideband Communication Systems Using Active Constellation Extension

Louliej, Abdelhamid; Jabrane, Younes; Said, Brahim Ait Es; Ouahman, Abdellah Ait

doi:10.1007/s11277-012-0714-3

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…To plot the ECMA-368 BER curves, we used the UWB multipath channel based on the Saleh and Valenzula model proposed by IEEE 802.15.3a [25,26,27,28]. In this channel, the multipath components, denoted as rays (paths), arrive at the receiver in groups of clusters.…”

Section: Resultsmentioning

confidence: 99%

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reduction in Vehicular Networks

Louliej

Jabrane

Jiménez

et al. 2018

Sensors

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Nowadays, the sensor community has become wireless, increasing their potential and applications. In particular, these emerging technologies are promising for vehicles’ communications (V2V) to dramatically reduce the number of fatal roadway accidents by providing early warnings. The ECMA-368 wireless communication standard has been developed and used in wireless sensor networks and it is also proposed to be used in vehicular networks. It adopts Multiband Orthogonal Frequency Division Multiplexing (MB-OFDM) technology to transmit data. However, the large power envelope fluctuation of OFDM signals limits the power efficiency of the High Power Amplifier (HPA) due to nonlinear distortion. This is especially important for mobile broadband wireless and sensors in vehicular networks. Many algorithms have been proposed for solving this drawback. However, complexity and implementations are usually an issue in real developments. In this paper, the implementation of a novel architecture based on multilayer perceptron artificial neural networks on a Field Programmable Gate Array (FPGA) chip is evaluated and some guidelines are drawn suitable for vehicular communications. The proposed implementation improves performance in terms of Peak to Average Power Ratio (PAPR) reduction, distortion and Bit Error Rate (BER) with much lower complexity. Two different chips have been used, namely, Xilinx and Altera and a comparison is also provided. As a conclusion, the proposed implementation allows a minimal consumption of the resources jointly with a higher maximum frequency, higher performance and lower complexity.

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Section: Resultsmentioning

confidence: 99%

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reduction in Vehicular Networks

Louliej

Jabrane

Jiménez

et al. 2018

Sensors

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“…To solve this problem, an iterative method is adopted with the ACE‐AGP algorithm. The iterative signal update can be implemented according to the following algorithm: Transform the modulated signal X 0 by IFFT to get x 0 Clip any | x i [ n ]| ≥ A ( A is a threshold) in magnitude, then compute

\overset{x}{true} ([], n) = ({}, \begin{array}{l} x^{i} ([], n) (||, x^{i} ([], n)) \leq A \\ {Ae}^{italicjθ ([], n)} (||, x^{i} ([], n)) > A \end{array})

Calculate the clipped signal

c_{clip} ([], n) = \overset{x}{true} ([], n) + x^{i} ([], n)

Transform C clip by FFT to get C clip Select the components of C clip which are acceptable constellation directions, and set all remaining directions to zero

C_{clip} ([], n) = ({, \begin{array}{l} 0 ((, (||, ℜ ({}, C_{clip} ([], n))) (||, ℜ ({}, X^{i} ([], n))) \leq) M \\ 0 ((, (||, ℑ ({}, C_{clip} ([], n))) (||, ℑ ({}, X^{i} ([], n)))) \leq M \end{array})

Use the IFFT to get c clipnew and calculate

C_{new}^{i} ([], n) = x^{i} ([], n) + C_{clip}^{i} ([], n) .

Update and go to Step 2, till an acceptable PAPR or a minimum iteration count is reached. …”

Section: Papr Reduction Methodsmentioning

confidence: 99%

“…Recently, the ACE method based on the approximate gradient project (AGP) algorithm is proposed to reduce the signal power fluctuation in ECMA-368 UWB systems. 13,14 In the ACE-AGP method, the PAPR is reduced based on the modification and the expanding of the constellation points within an allowable region. In general, the ACE-AGP technique is a convex problem whose solution is assured to find the minimum distance between constellation points.…”

Section: Ace-agp Methodsmentioning

confidence: 99%

“…Recently, the ACE method based on the approximate gradient project (AGP) algorithm is proposed to reduce the signal power fluctuation in ECMA‐368 UWB systems . In the ACE‐AGP method, the PAPR is reduced based on the modification and the expanding of the constellation points within an allowable region.…”

Section: Papr Reduction Methodsmentioning

confidence: 99%

“…In addition, the non‐linearities of high power amplifier generate out‐of‐band distortion and increase the bit error rate (BER). Many techniques have been used to reduce PAPR in OFDM signals, among them the selected mapping method (SLM), partial transmit sequences (PTS), active constellation extension (ACE), and time‐domain artificial neural networks (ANNT) are proposed for ECMA‐368 UWB systems.…”

Section: Introductionmentioning

confidence: 99%

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PAPR reduction in ECMA‐368 UWB communication systems using parametric discrete sliding norm transform

Mehallel

Abed

Boukrouche

et al. 2018

Int J Communication

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Summary ECMA‐368 Standard adopts multiband orthogonal frequency division multiplexing (MB‐OFDM) for high rate ultra‐wideband (UWB) communication systems as a possible candidate for indoor wireless personnel area networks. One of the main drawbacks of MB‐OFDM modulation is the high peak‐to‐average power ratio (PAPR), which limits the power efficiency of the digital‐to‐analog converter and the high power amplifier due to nonlinear distortion. In this paper, a post inverse discrete Fourier transform nonlinear transformation called parametric discrete sliding norm transform (PDSNT) is proposed to reduce the PAPR in MB‐OFDM systems. The PDSNT method in addition to its much lower computational complexity than other schemes recently proposed for ECMA‐368 UWB systems introduces an efficient controlling parameter to obtain a good tradeoff between PAPR reduction and bit error rate (BER) performance degradation. Simulation results show that the proposed PDSNT‐based MB‐OFDM scheme can achieve better performance in PAPR reduction than conventional solutions with affordable BER performance degradation in UWB channel models.

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An efficient combinational approach for PAPR reduction in MIMO–OFDM system

Pachori

Mishra

2015

Wireless Netw

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The multiple input multiple output (MIMO) with orthogonal frequency division multiplexing (OFDM) has emerged as a promising solution to enhance the channel capacity and diversity of wireless communication system without any increase in bandwidth. In this paper, a parallel combinational scheme is proposed to reduce peakto-average power ratio (PAPR) in MIMO-OFDM system under Rayleigh fading environment. The proposed method intelligently incorporates both active gradient project and partial transmit sequence schemes. The results show that the proposed method not only reduces the PAPR and computational complexity of the system but also maintains the bit error rate compared to other schemes.Keywords Approximate gradient projection (AGP) Á Partial transmit sequence (PTS) Á Peak-to-average power ratio (PAPR) Á Space time block coding (STBC) Á Bit error rate (BER)

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Peak to Average Power Ratio Reduction in ECMA-368 Ultra wideband Communication Systems Using Active Constellation Extension

Cited by 7 publications

References 8 publications

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reduction in Vehicular Networks

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reduction in Vehicular Networks

PAPR reduction in ECMA‐368 UWB communication systems using parametric discrete sliding norm transform

An efficient combinational approach for PAPR reduction in MIMO–OFDM system

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