2D-DWT vs. FFT OFDM systems in fading AWGN channels
DOI:
https://doi.org/10.3103/S0735272715050052Keywords:
OFDM, FFT, 2D DWT, AWGN, flat fading channel, frequency-selective fading channelAbstract
Wireless communication technology provides voice communication and high pick data rates for orthogonal frequency division multiplexing (OFDM) system have been investigated. Fast Fourier transform (FFT) and 2D discrete wavelet transform (2D DWT) were applied for this investigation. The design of scrambling system consists parts “transmitter, receiver and noisy channel”. The results in two cases (normalized and non-normalized) of both system (FFT and 2D DWT) efficiency in OFDM system was calculated through Matlab program.
References
ABDUL-RAHAIM, LAITH A. Proposed realization of modified scrambling using 2D-DWT based OFDM transceivers. MASAUM J. Comput., Sept. 2009, v.1, n.2, p.245-251.
MIAH, Md. SIPON; M. RAHMAN, MAHBUBUR; GODDER, T.K.; SINGH, BIKASH CHANDRA; PARVIN, M. TANIA. Performance comparison of AWGN, flat fading and frequency selective fading channel for wireless communication system using 4QPSK. Int. J. Comput. Inf. Technol., 2011, v.1, n.2, p.81-89.
VO, CHAU. Fading Channel Characterization and Modelling. Northridge: California State University, Dec. 2012.
VEENA, M.B.; SWAMY, M.N. SHANMUKHA. Performance analysis of DWT based OFDM over FFT based OFDM and implementing on FPGA. Int. J. VLSI design & Commun. Syst., Sept. 2011, v.2, n.3, p.119-130, DOI: http://dx.doi.org/10.5121/vlsic.2011.2310.
BELLONI, FABIO. Fading Models. S-72.333. Postgraduate Course in Radio Communications. Autumn 2004.
WU, DAPENG; NEGI, ROHIT. Effective capacity channel model for frequency-selective fading channels. Proc. of Second Int. Conf. on Quality of Service in Heterogeneous Wired/Wireless Networks, 24 Aug. 2005, Lake Vista, FL. IEEE, 2005, p.43, DOI: http://dx.doi.org/10.1109/QSHINE.2005.20.
OSMAN, MOHD Al HAFIZ BIN. Modelling Rayleigh fading propogation and effect in wireless communication channel using Matlab. Report of Faculty of Electronic and Computer Engineering. TK5103.2.M46. University Teknikal Malaysia, 2008.
STANKOVIC, RADOMIR S.; FALKOWSKI, BOGDAN J. The Haar wavelet transform: its status and achievements. Comput. Electrical Eng., Jan. 2003, v.29, n.1, p.25-44, DOI: http://dx.doi.org/10.1016/S0045-7906(01)00011-8.
