Fractal Communication System Using Digital Signal Processing Starter Kit (DSK) TMS320c6713

Authors

  • Arsyad Ramadhan Darlis National Technology Institute of Bandung

DOI:

https://doi.org/10.21512/comtech.v6i4.2202

Keywords:

fractal modulation, self-similary, dsk tms320c6713, wavelet

Abstract

In 1992, Wornell and Oppenheim did research on a modulation which is formed by using wavelet theory. In some other studies, proved that this modulation can survive on a few channels and has reliability in some applications. Because of this modulation using the concept of fractal, then it is called as fractal
modulation. Fractal modulation is formed by inserting information signal into fractal signals that are selffractal similary. This modulation technique has the potential to replace the OFDM (Orthogonal Frequency Division Multiplexing), which is currently used on some of the latest telecommunication technologies. The purpose of this research is to implement the fractal communication system using Digital Signal Processing Starter Kit (DSK) TMS320C6713 without using AWGN and Rayleigh channel in order to obtain the ideal performance of the system. From the simulation results using MATLAB7.4. it appears that this communication system has good performance on some channels than any other communication systems. While in terms of implementation by using (DSK) via TMS320C6713 Code Composer Studio (CCS), it can be concluded that the
fractal communication system has a better execution time on some tests.

Dimensions

Plum Analytics

References

Cicek, S. Ferikoglu, A. & Pehlivan, I. (2015). A chaotic communication system design with chaotic on-off keying (COOK) modulation method. Signal Processing and Communications Applications Conference (SIU) 23th: 431-434.

Evangelista, G. (2006). Fractal Modulation Effects. Proceeding of the 9th International Conference on Digital Audio Effects (DAFx-06), Montreal, Canada.

Gumilang, H. (2013). Implementasi Sistem OFDM untuk komunikasi simpleks menggunakan DSK TMS320C6713. Bandung: Institut Teknologi Bandung.

Ghazel, M., Freeman, G. H., & Vrscay, E.R. (2006). Fractal-Wavelet Image Denoising Revisited. IEEE Transactions on Image Processing, 15(9).

Halleyano, A. (2009). Implementasi Sistem Multicarrier berbasis wavelet menggunakan DSK TMS320C7613. Bandung: Institut Teknologi Bandung.

Ibrahim, N. (2009). Implementasi Algoritma Sinkronisasi untuk Sistem OFDM menggunakan DSK TMS320C7613. Bandung: Institut Teknologi Bandung.

Kavehrad, M., Hamzeh, B. (2003). Beaming Bandwidth via Laser Communications. The Pennsylvania State University, Department of Electrical Engineering, CICTR, University Park.

Luigi A., Daniele D. G., & Maurizio M. (2010). Performance Analysis of Fractal Modulation Transmission Over Fast-Fading Wireless Channels. IEEE Transactions on Broadcasting,

(2): 103-110.

Sumule, H. A. (2011). Modulasi Fraktal pada Kanal Multipath Fading Rayleigh. Bandung: Institut Teknologi Bandung.

Shiny, G., Baiju, M. R. (2015). Fractal approach for a high resolution multilevel inverter. Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference:1-5.

Wornell, G. W., Oppenheim, A. V. (1992). Wavelet-based representations for a class of self-similar signals with application to fractal modulation. IEEE Transactions Information Theory, 38:

–800.

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Published

2015-12-01

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