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Journal articles on the topic 'Affine Frequency Division Multiplexing'

Author: Grafiati

Published: 25 May 2024

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1

JIANG, Hui, and Dao-ben LI. "Overlapped frequency-time division multiplexing." Journal of China Universities of Posts and Telecommunications 16, no. 2 (April 2009): 8–13. http://dx.doi.org/10.1016/s1005-8885(08)60193-4.

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2

Corcoran, Bill, Chen Zhu, Binhuang Song, and Arthur J. Lowery. "Folded orthogonal frequency division multiplexing." Optics Express 24, no. 26 (December 14, 2016): 29670. http://dx.doi.org/10.1364/oe.24.029670.

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3

Zheng, Zi Wei. "Iterative Channel Estimation for the Chinese Digital Television Terrestrial Broadcasting Systems with the Multiple-Antenna Receivers." Advanced Engineering Forum 6-7 (September 2012): 439–44. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.439.

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Orthogonal frequency division multiplexing is an effective against multipath fading and high data throughput wireless channel transmission technology. Assistance with the inverse fast Fourier transform and fast Fourier transform operation, orthogonal frequency division multiplexing modulation and demodulation operations of the system convenient and convenient hardware implementation, orthogonal frequency division multiplexing, so in the modern digital television terrestrial broadcasting the system is widely used to support high performance bandwidth-efficient multimedia services. Broadband multi-carrier orthogonal frequency division multiplexing with multi-antenna and multi-antenna receiving system, to increase the diversity gain and improve the capacity of the system in different multipath fading channel. Accurate channel estimation in a simple channel equalization and decoding of broadband multi-carrier orthogonal frequency division multiple-antenna receiver and channel estimation accuracy and multiplexing system is very important, is the key to the performance of the overall broadband multi-carrier orthogonal frequency division multiplexing system in the multi-antenna receiver bit error rate. In this paper, iterative channel estimation to plan for digital terrestrial television broadcasting broadband multi-carrier orthogonal frequency division multiple antenna receiver multiplexing system proposal.

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4

Chen, Xiang, Hao Liu, Mai Hu, Lu Yao, Zhenyu Xu, Hao Deng, and Ruifeng Kan. "Frequency-Domain Detection for Frequency-Division Multiplexing QEPAS." Sensors 22, no. 11 (May 26, 2022): 4030. http://dx.doi.org/10.3390/s22114030.

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To achieve multi-gas measurements of quartz-enhanced photoacoustic spectroscopy (QEPAS) sensors under a frequency-division multiplexing mode with a narrow modulation frequency interval, we report a frequency-domain detection method. A CH4 absorption line at 1653.72 nm and a CO2 absorption line at 2004.02 nm were investigated in this experiment. A modulation frequency interval of as narrow as 0.6 Hz for CH4 and CO2 detection was achieved. Frequency-domain 2f signals were obtained with a resolution of 0.125 Hz using a real-time frequency analyzer. With the multiple linear regressions of the frequency-domain 2f signals of various gas mixtures, small deviations within 2.5% and good linear relationships for gas detection were observed under the frequency-division multiplexing mode. Detection limits of 0.6 ppm for CH4 and 2.9 ppm for CO2 were simultaneously obtained. With the 0.6-Hz interval, the amplitudes of QEPAS signals will increase substantially since the modulation frequencies are closer to the resonant frequency of a QTF. Furthermore, the frequency-domain detection method with a narrow interval can realize precise gas measurements of more species with more lasers operating under the frequency-division multiplexing mode. Additionally, this method, with a narrow interval of modulation frequencies, can also realize frequency-division multiplexing detection for QEPAS sensors under low pressure despite the ultra-narrow bandwidth of the QTF.

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5

Junejo, Naveed Ur Rehman, Mariyam Sattar, Saifullah Adnan, Haixin Sun, Abuzar B. M. Adam, Ahmad Hassan, and Hamada Esmaiel. "A Survey on Physical Layer Techniques and Challenges in Underwater Communication Systems." Journal of Marine Science and Engineering 11, no. 4 (April 21, 2023): 885. http://dx.doi.org/10.3390/jmse11040885.

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In the past decades, researchers/scientists have paid attention to the physical layer of underwater communications (UWCs) due to a variety of scientific, military, and civil tasks completed beneath water. This includes numerous activities critical for communication, such as survey and monitoring of oceans, rescue, and response to disasters under the sea. Till the end of the last decade, many review articles addressing the history and survey of UWC have been published which were mostly focused on underwater sensor networks (UWSN), routing protocols, and underwater optical communication (UWOC). This paper provides an overview of underwater acoustic (UWA) physical layer techniques including cyclic prefix orthogonal frequency division multiplexing (CP-OFDM), zero padding orthogonal frequency division multiplexing (ZP-OFDM), time-domain synchronization orthogonal frequency division multiplexing (TDS-OFDM), multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM), generalized frequency division multiplexing (GFDM), unfiltered orthogonal frequency division multiplexing (UF-OFDM), continuous phase modulation orthogonal frequency division multiplexing (CPM-OFDM), filter bank multicarrier (FBMC) modulation, MIMO, spatial modulation technologies (SMTs), and orthogonal frequency division multiplexing index modulation (OFDM-IM). Additionally, this paper provides a comprehensive review of UWA channel modeling problems and challenges, such as transmission loss, propagation delay, signal-to-noise ratio (SNR) and distance, multipath effect, ambient noise effect, delay spread, Doppler effect modeling, Doppler shift estimation. Further, modern technologies of the physical layer of UWC have been discussed. This study also discusses the different modulation technology in terms of spectral efficiency, computational complexity, date rate, bit error rate (BER), and energy efficiency along with their merits and demerits.

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6

Shrivastava, Sandeep, Alok Jain, and Ram Kumar Soni. "Survey of Orthogonal Frequency Division Multiplexing." International Journal of Engineering Trends and Technology 50, no. 1 (August 25, 2017): 12–16. http://dx.doi.org/10.14445/22315381/ijett-v50p203.

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7

Yousefi, Mansoor, and Xianhe Yangzhang. "Linear and Nonlinear Frequency-Division Multiplexing." IEEE Transactions on Information Theory 66, no. 1 (January 2020): 478–95. http://dx.doi.org/10.1109/tit.2019.2941479.

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8

Shieh, W., and C. Athaudage. "Coherent optical orthogonal frequency division multiplexing." Electronics Letters 42, no. 10 (2006): 587. http://dx.doi.org/10.1049/el:20060561.

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9

Gokceli, Selahattin, and Gunes Karabulut Kurt. "Superposition Coded-Orthogonal Frequency Division Multiplexing." IEEE Access 6 (2018): 14842–56. http://dx.doi.org/10.1109/access.2018.2814050.

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10

Bledowski, Ian A., Thomas O. H. Charrett, Daniel Francis, Stephen W. James, and Ralph P. Tatam. "Frequency-division multiplexing for multicomponent shearography." Applied Optics 52, no. 3 (January 11, 2013): 350. http://dx.doi.org/10.1364/ao.52.000350.

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11

Karim. "Orthogonal Frequency Division Multiplexing Timing Synchronization in Multi-Band Orthogonal Frequency Division Multiplexing Ultra-Wideband Systems." American Journal of Applied Sciences 7, no. 3 (March 1, 2010): 420–27. http://dx.doi.org/10.3844/ajassp.2010.420.427.

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12

Zhang, Xulun, Peng Sun, Lixia Xi, Zibo Zheng, Shucheng Du, Jiacheng Wei, Yue Wu, and Xiaoguang Zhang. "Nonlinear-frequency-packing nonlinear frequency division multiplexing transmission." Optics Express 28, no. 10 (May 6, 2020): 15360. http://dx.doi.org/10.1364/oe.390293.

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13

TAKYU, O., and M. NAKAGAWA. "Frequency Spectrum Rotation in Interleaved Frequency Division Multiplexing." IEICE Transactions on Communications E91-B, no. 7 (July 1, 2008): 2357–65. http://dx.doi.org/10.1093/ietcom/e91-b.7.2357.

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14

Farhan, Mhnd. "Performance Analysis of Coded Frequency Division Multiplexing." European Journal of Engineering and Formal Sciences 2, no. 3 (December 29, 2018): 56. http://dx.doi.org/10.26417/ejef.v2i3.p56-60.

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This paper studies the performance of coded orthogonal frequency division multiplexing system using two modulation techniques, quadrature phase shift keying(QPSK) and quadrature amplitude modulation(QAM). The convolutional code is used as error-correcting-code. The communication channel used is vehicular channel. Simulation results show that the performance of coded orthogonal frequency division multiplexing system with QPSK is better than that with QAM

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15

Farhan, Mhnd. "Performance Analysis of Coded Frequency Division Multiplexing." European Journal of Engineering and Formal Sciences 2, no. 3 (December 1, 2018): 56–60. http://dx.doi.org/10.2478/ejef-2018-0017.

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Abstract This paper studies the performance of coded orthogonal frequency division multiplexing system using two modulation techniques, quadrature phase shift keying(QPSK) and quadrature amplitude modulation(QAM). The convolutional code is used as error-correcting-code. The communication channel used is vehicular channel. Simulation results show that the performance of coded orthogonal frequency division multiplexing system with QPSK is better than that with QAM

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16

Kumar, R. Saran, P. Poongodi, and G. Umamaheswari. "Modeling of Orthogonal Frequency Division Multiplexing System." Asian Journal of Research in Social Sciences and Humanities 7, no. 1 (2017): 711. http://dx.doi.org/10.5958/2249-7315.2016.01403.9.

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17

Pankil Butala, Pankil Butala, Hany Elgala Hany Elgala, and Thomas D. C. Little Thomas D. C. Little. "Sample indexed spatial orthogonal frequency division multiplexing." Chinese Optics Letters 12, no. 9 (2014): 090602–90606. http://dx.doi.org/10.3788/col201412.090602.

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18

Jin, W., and B. Culshaw. "Frequency division multiplexing of fiber-optic gyroscopes." Journal of Lightwave Technology 10, no. 10 (1992): 1473–80. http://dx.doi.org/10.1109/50.166792.

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19

El-Gorashi, Taisir E. H., Xiaowen Dong, and Jaafar M. H. Elmirghani. "Green optical orthogonal frequency-division multiplexing networks." IET Optoelectronics 8, no. 3 (June 1, 2014): 137–48. http://dx.doi.org/10.1049/iet-opt.2013.0046.

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20

Lowery, Arthur James. "Spectrally efficient optical orthogonal frequency division multiplexing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (March 2, 2020): 20190180. http://dx.doi.org/10.1098/rsta.2019.0180.

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This paper charts the development of spectrally efficient forms of optical orthogonal frequency division multiplexing (OFDM) that are suited for intensity-modulated direct detection systems, such as wireless optical communications. The journey begins with systems using a DC-bias to ensure that no parts of the signal that modulates the optical source are negative in value, as negative optical intensity is unphysical. As the DC-part of the optical signal carries no information, it is wasteful in energy; thus asymmetrically clipped optical OFDM was developed, removing any negative-going peaks below the mean. Unfortunately, the clipping causes second-order distortion and intermodulation, so some subcarriers appear to be unusable, halving spectral efficiency; this is similar for unipolar and flipped optical OFDM. Thus, a considerable effort has been made to regain spectral efficiency, using layered techniques where the clipping distortion is mostly cancelled at the receiver, from a knowledge of one unpolluted layer, enabling one or more extra ‘layers/paths/depths’ to be received on the previously unusable subcarriers. Importantly, for a given optical power and high-order modulation, layered methods offer the best spectral efficiencies and need the lowest signal-to-noise ratios, especially if diversity combining is used. Thus, they could be important for high-bandwidth optical fibre systems. Efficient methods of generating all layers simultaneously, using fast Fourier transforms with their partial calculations extracted, are discussed, as are experimental demonstrations in both wireless and short-haul communications links. A musical analogy is also provided, which may point to how orchestral and rock music is deciphered in the brain. This article is part of the theme issue ‘Optical wireless communication’.

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21

Sharma, Abha, and Ajay Kr. Singh. "Orthogonal Frequency Division Multiplexing and its applications." International Journal of Computer Trends and Technology 38, no. 1 (August 25, 2016): 21–23. http://dx.doi.org/10.14445/22312803/ijctt-v38p105.

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22

Ho, Keang-Po, and Joseph M. Kahn. "Frequency Diversity in Mode-Division Multiplexing Systems." Journal of Lightwave Technology 29, no. 24 (December 2011): 3719–26. http://dx.doi.org/10.1109/jlt.2011.2173465.

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23

Prasad, V. G. S., and K. V. S. Hari. "Interleaved Orthogonal Frequency Division Multiplexing (IOFDM) System." IEEE Transactions on Signal Processing 52, no. 6 (June 2004): 1711–21. http://dx.doi.org/10.1109/tsp.2004.827179.

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24

Han, Seungyul, Youngchul Sung, and Yong H. Lee. "Filter Design for Generalized Frequency-Division Multiplexing." IEEE Transactions on Signal Processing 65, no. 7 (April 1, 2017): 1644–59. http://dx.doi.org/10.1109/tsp.2016.2641382.

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25

Gemechu, Wasyhun A., Tao Gui, Jan-Willem Goossens, Mengdi Song, Stefan Wabnitz, Hartmut Hafermann, Alan Pak Tao Lau, Mansoor I. Yousefi, and Yves Jaouen. "Dual Polarization Nonlinear Frequency Division Multiplexing Transmission." IEEE Photonics Technology Letters 30, no. 18 (September 15, 2018): 1589–92. http://dx.doi.org/10.1109/lpt.2018.2860124.

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26

Basar, Ertugrul, Umit Aygolu, Erdal Panayirci, and H. Vincent Poor. "Orthogonal Frequency Division Multiplexing With Index Modulation." IEEE Transactions on Signal Processing 61, no. 22 (November 2013): 5536–49. http://dx.doi.org/10.1109/tsp.2013.2279771.

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27

Craven, M. P., K. M. Curtis, and B. R. Hayes-Gill. "Frequency division multiplexing in analogue neural network." Electronics Letters 27, no. 11 (May 23, 1991): 918–20. http://dx.doi.org/10.1049/el:19910575.

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28

Osaki, Seichiroh, Miyu Nakao, Takumi Ishihara, and Shinya Sugiura. "Differentially Modulated Spectrally Efficient Frequency-Division Multiplexing." IEEE Signal Processing Letters 26, no. 7 (July 2019): 1046–50. http://dx.doi.org/10.1109/lsp.2019.2918688.

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29

K. Mahmood, Maher, and Abbas Salman Hameed. "Adaptive Modulation for Orthogonal Frequency Division Multiplexing." Engineering and Technology Journal 30, no. 9 (May 1, 2012): 1611–24. http://dx.doi.org/10.30684/etj.30.9.13.

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30

Jeutter, Dean C., Fabien J. Josse, and James C. Han. "Cochlear implant employing frequency‐division multiplexing and frequency modulation." Journal of the Acoustical Society of America 92, no. 3 (September 1992): 1796. http://dx.doi.org/10.1121/1.405274.

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31

Solyman, Ahmad AA, Hani Attar, Mohammad R. Khosravi, and Baki Koyuncu. "MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks." International Journal of Distributed Sensor Networks 16, no. 6 (June 2020): 155014772091295. http://dx.doi.org/10.1177/1550147720912950.

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In this article, three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, which are Alamouti space–time block coding multiple-input single-output/multiple-input multiple-output multicarrier modulation (MCM) system, extended orthogonal space–time block coding multiple-input single-output MCM system, and multiple-input multiple-output system. Moreover, the proposed work is applied over multiple-input multiple-output systems rather than the conventional single-antenna orthogonal chirp division multiplexing systems, based on the discrete fractional cosine transform orthogonal chirp division multiplexing system to mitigate the effect of frequency-selective and time-varying channels, using low-complexity equalizers, specifically by ignoring the intercarrier interference coming from faraway subcarriers and using the LSMR iteration algorithm to decrease the equalization complexity, mainly with long orthogonal chirp division multiplexing symbols, such as the TV symbols. The block diagrams for the proposed systems are provided to simplify the theoretical analysis by making it easier to follow. Simulation results confirm that the proposed multiple-input multiple-output and multiple-input single-output orthogonal chirp division multiplexing systems outperform the conventional multiple-input multiple-output and multiple-input single-output orthogonal frequency division multiplexing systems. Finally, the results show that orthogonal chirp division multiplexing exhibited a better channel energy behavior than classical orthogonal frequency division multiplexing, thus improving the system performance and allowing the system to decrease the equalization complexity.

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32

Uppal, Sabhyata, Sanjay Sharma, and Hardeep Singh. "Analytical Investigation on Papr Reduction in OFDM Systems Using Golay Codes." Journal of Electrical Engineering 65, no. 5 (September 1, 2014): 289–93. http://dx.doi.org/10.2478/jee-2014-0046.

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Abstract Orthogonal frequency division multiplexing (OFDM) is a common technique in multi carrier communications. One of the major issues in developing OFDM is the high peak to average power ratio (PAPR). Golay sequences have been introduced to construct 16-QAM and 256-QAM (quadrature amplitude modulation) code for the orthogonal frequency division multiplexing (OFDM), reducing the peak-to-average power ratio. In this paper we have considered the use of coding to reduce the peakto- average power ratio (PAPR) for orthogonal frequency division multiplexing (OFDM) systems. By using QPSK Golay sequences, 16 and 256 QAM sequences with low PAPR are generated

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33

Nahar, Sabiqun, Md Redowan Mahmud Arnob, and Mohammad Nasir Uddin. "Empirical analysis of polarization division multiplexing-dense wavelength division multiplexing hybrid multiplexing techniques for channel capacity enhancement." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (February 1, 2023): 590. http://dx.doi.org/10.11591/ijece.v13i1.pp590-600.

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<span>This paper exemplifies dense wavelength division multiplexing combined with polarization division multiplexing with C-band frequency range-based single-mode fiber. In the proposed link, 32 independent channels with 16 individual wavelengths are multiplexed with two different angles of polarization. Each carrying 130 Gbps dual-polarization data with 200 GHz channel spacing claiming a net transmission rate of 4.16 Tbits/s with spectral efficiency of 69% with 20% side-mode-suppression-ratio (SMSR) and optical signal to noise ratio (OSNR) 40.7. The performance of the proposed techniques has been analyzed using optimized system parameters securing a minimum bit error rate (BER) 10-9 at a transmission distance up to 50 km.</span>

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34

Boute, R. "On The Equivalence of Time-Division and Frequency-Division Multiplexing." IEEE Transactions on Communications 33, no. 1 (January 1985): 97–99. http://dx.doi.org/10.1109/tcom.1985.1096197.

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35

Li, Yupeng, and Ding Ding. "Investigation into constant envelope orthogonal frequency division multiplexing for polarization-division multiplexing coherent optical communication." Optical Engineering 56, no. 09 (September 20, 2017): 1. http://dx.doi.org/10.1117/1.oe.56.9.096108.

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36

Zheng, Zi Wei. "Iterative Channel Estimation Scheme for the WLAN Systems with the Multiple-Antenna Receivers." Advanced Engineering Forum 6-7 (September 2012): 871–75. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.871.

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Alleviate the multipath delay spread and suitable for broadband transmission efficiency, orthogonal frequency division multiplexing wireless local area network (WLAN) is widely used to assist inverse fast Fourier transform and fast Fourier transform operation domain. Orthogonal frequency division multiplexing is a blow to the broadcast channel multipath fading and high data throughput, transmission, wireless fading channel method, which is widely used to support high performance bandwidth-efficient wireless multimedia services. Several times in the transmitter and receiver antenna technology allows data transfer rate and spectrum efficiency and the use of multiple transmit antennas and multiple receive antennas through spatial processing. High-precision channel estimation scheme is very important wideband multi-carrier orthogonal frequency complex WLAN systems use multiple antenna receiver based division of labor and the overall multi-carrier orthogonal frequency multiplexing division of performance-based WLAN system is to crucial antenna to receive the symbol error rate. In this article, the iterative channel estimation scheme proposed multi-carrier orthogonal frequency division multiplexed using multiple antennas receiver-based WLAN system.

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37

Li, Qi, Liang Hu, Jinbo Zhang, Jianping Chen, and Guiling Wu. "Fiber Radio Frequency Transfer Using Bidirectional Frequency Division Multiplexing Dissemination." IEEE Photonics Technology Letters 33, no. 13 (July 1, 2021): 660–63. http://dx.doi.org/10.1109/lpt.2021.3086299.

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38

Moose, P. H. "A technique for orthogonal frequency division multiplexing frequency offset correction." IEEE Transactions on Communications 42, no. 10 (1994): 2908–14. http://dx.doi.org/10.1109/26.328961.

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39

Farhan, Mhnd. "Coded Orthogonal Frequency Division Multiplexing System : An Overview." Indonesian Applied Physics Letters 4, no. 2 (December 10, 2023): 57–64. http://dx.doi.org/10.20473/iapl.v4i2.49248.

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This article compares the performance of two modulation techniques—quadrature phase shift keying (QPSK) and M-ary quadrature amplitude modulation (M-QAM) with M=8, 16, 32, and 64—in a coded orthogonal frequency division multiplexing system. As an error-correcting code, convolutional technology is employed. A vehicular channel with additive white gaussian noise (AWGN) is utilized for communication. According to simulation data, for QPSK and M-QAM, a coded orthogonal frequency division multiplexing system performs better than an uncoded one. Additionally, the system performs better with QPSK than it does with M-QAM. Additionally, when M rises, the performance declines.

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40

Petrellis, Nikos. "Undersampling in Orthogonal Frequency Division Multiplexing Telecommunication Systems." Applied Sciences 4, no. 1 (March 17, 2014): 79–98. http://dx.doi.org/10.3390/app4010079.

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41

Omran, Buthaina M., and Hajer S. Mohammed Redha. "Spectrally Efficient Frequency Division Multiplexing in LTE Downlink." IJARCCE 5, no. 1 (January 30, 2016): 112–15. http://dx.doi.org/10.17148/ijarcce.2016.5127.

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42

Alyatama, Anwar. "Fairness in orthogonal frequency-division multiplexing optical networks." Journal of High Speed Networks 20, no. 2 (2014): 79–93. http://dx.doi.org/10.3233/jhs-140489.

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43

Kang, Seog-Geun. "Design of 3-Dimensional Orthogonal Frequency Division Multiplexing." Journal of Broadcast Engineering 13, no. 5 (September 30, 2008): 677–80. http://dx.doi.org/10.5909/jbe.2008.13.5.677.

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44

Avery, James, Tom Dowrick, Anna Witkowska-Wrobel, Mayo Faulkner, Kirill Aristovich, and David Holder. "Simultaneous EIT and EEG using frequency division multiplexing." Physiological Measurement 40, no. 3 (April 3, 2019): 034007. http://dx.doi.org/10.1088/1361-6579/ab0bbc.

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45

Yangzhang, Xianhe, Domanic Lavery, Polina Bayvel, and Mansoor I. Yousefi. "Impact of Perturbations on Nonlinear Frequency-Division Multiplexing." Journal of Lightwave Technology 36, no. 2 (January 15, 2018): 485–94. http://dx.doi.org/10.1109/jlt.2018.2798412.

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46

Wen, Miaowen, Binbin Ye, Ertugrul Basar, Qiang Li, and Fei Ji. "Enhanced Orthogonal Frequency Division Multiplexing With Index Modulation." IEEE Transactions on Wireless Communications 16, no. 7 (July 2017): 4786–801. http://dx.doi.org/10.1109/twc.2017.2702618.

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47

Li, Jun, Shuping Dang, Miaowen Wen, Xue-Qin Jiang, Yuyang Peng, and Han Hai. "Layered Orthogonal Frequency Division Multiplexing With Index Modulation." IEEE Systems Journal 13, no. 4 (December 2019): 3793–802. http://dx.doi.org/10.1109/jsyst.2019.2918068.

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48

Girinath, N. "A Novel Reconfigurable Orthogonal Frequency Division Multiplexing Transceiver." Journal of Computational and Theoretical Nanoscience 16, no. 2 (February 1, 2019): 430–35. http://dx.doi.org/10.1166/jctn.2019.7745.

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As the world moves toward 3G/4G there is a need for high data rate and relatively wide bandwidths. OFDM (Orthogonal Frequency Division Multiplexing) a form of multicarrier modulation technique is widely used to achieve high speed efficient data transmission at the rate of several Mbps. It is used in Wi-Fi standards like 802.11a, 802.11n, 802.11ac, broadcast standards like Digital Video Broadcast (DVB) and cellular telecommunications standard LTE. The main advantage of OFDM compared to single carrier modulation is their robustness to channel fading in wireless environment, high baud rates and less inter symbol interference. One major disadvantage is its High PAPR. PTS partial transmit sequences (PTS) and selective mapping are proposed to reduce it. Since FFT is core block of OFDM it must be able to adapt itself to ever changing digital world. A function specific reconfigurable 2k SDF (Single path delay feedback) FFT is proposed. It utilizes less power and can be configured for different FFT sizes ranging from 16-point to 1024-point. The validity and efficiency of the architecture have been verified by simulation in hardware description language VERILOG and targeted on Virtex-6 device. Finally PAPR is estimated by MATLAB simulation.

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49

Barros, D. J. F., and J. M. Kahn. "Optical Modulator Optimization for Orthogonal Frequency-Division Multiplexing." Journal of Lightwave Technology 27, no. 13 (July 2009): 2370–78. http://dx.doi.org/10.1109/jlt.2008.2010002.

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50

Barros, Daniel J. F., and Joseph M. Kahn. "Optimized Dispersion Compensation Using Orthogonal Frequency-Division Multiplexing." Journal of Lightwave Technology 26, no. 16 (August 2008): 2889–98. http://dx.doi.org/10.1109/jlt.2008.925051.

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