Performance and Characteristic Evaluation of Ripple Windowing for Efficient Frequency Localization in DFT Spread OFDM System 


Vol. 44,  No. 4, pp. 637-643, Apr.  2019
10.7840/kics.2019.44.4.637


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  Abstract

Orthogonal frequency division multiplexing (OFDM) has high peak-to-average power ratio (PAPR) and high out-of-band (OOB) power characteristics. In this paper, we propose a DFT (Discrete Fourier Transform) spread OFDM system using a new Ripple window. The proposed system that can improve the weakness of OFDM and evaluate its performance. High PAPR characteristic can be effectively reduced using the DFT spread method, and high OOB power can be effectively reduced by using the newly designed ripple window. The Ripple window has overshoot and ripple properties. This window can reduce the higher OOB power within a given window length or reduce the window length required to achieve the target OOB power. Simulation results show that the proposed DFT spread OFDM using Ripple window (RW-DFTs-OFDM) system has some deterioration in BER (bit error rate) performance and PAPR characteristic when the window length is 128 But OOB power of about 150dB can be reduced.

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  Cite this article

[IEEE Style]

C. An and H. Ryu, "Performance and Characteristic Evaluation of Ripple Windowing for Efficient Frequency Localization in DFT Spread OFDM System," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 4, pp. 637-643, 2019. DOI: 10.7840/kics.2019.44.4.637.

[ACM Style]

Changyoung An and Heung-Gyoon Ryu. 2019. Performance and Characteristic Evaluation of Ripple Windowing for Efficient Frequency Localization in DFT Spread OFDM System. The Journal of Korean Institute of Communications and Information Sciences, 44, 4, (2019), 637-643. DOI: 10.7840/kics.2019.44.4.637.

[KICS Style]

Changyoung An and Heung-Gyoon Ryu, "Performance and Characteristic Evaluation of Ripple Windowing for Efficient Frequency Localization in DFT Spread OFDM System," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 4, pp. 637-643, 4. 2019. (https://doi.org/10.7840/kics.2019.44.4.637)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880