Open Access Open Access  Restricted Access Subscription or Fee Access

Bit Error Rate Reduction in DWT-OFDM Systems using a Novel Error Correction Scheme

Simmi Garg, Anuj Kumar Sharma, Anand Kumar Tyagi

Abstract


Proposed Error Correction scheme has been implemented on Discrete Wavelet Transform based Orthogonal Frequency Division Multiplexing (DWT-OFDM) system using simulations by MATLAB. The Bit Error Rate (BER) performance of the proposed system has been studied in terms of signal to noise ratio (Eb/No). The proposed system has been examined under Additive White Gaussian Noise Channel (AWGN), and it has been compared with the ½ rate convolution encoded DWT-OFDM. Further, the performance of the proposed system has also been examined using different modulation schemes. Moreover, a number of wavelet families have been used for evaluating the proposed system. The simulation results show that performance of proposed system is better than ½ rate convolution encoded DWT-OFDM under all the simulating conditions. Hence, proposed system leads to decrease in the bit error rate and thus, it is an efficient and reliable system for wireless communication systems.

Keywords: Discrete wavelet transform, OFDM, forward error correction, AWGN

Cite this Article

Simmi Garg, Anuj Kumar Sharma, Anand Kumar Tyagi. Bit Error Rate Reduction in DWT-OFDM Systems using a Novel Error Correction Scheme. Research & Reviews: Journal of Physics. 2019; 8(2): 1–12p.


Keywords


Discrete Wavelet Transform, OFDM, Forward Error Correction, AWGN

Full Text:

PDF

References


Li Y, Stuber GL. Orthogonal Frequency Division Multiplexing for Wireless communication: Springer; 2006

Mallat S. A Wavelet Tour of Signal Processing: Academic Press;1999

Macwilliams FJ, Sloane NJA. The theory of error correcting codes: North-Holland Publishing company; 1977

Reed IS, Chen X. Error control coding for data networks: Kluwer academic Publisher; 1999

Weinstein S, Ebert P. Data transmission by frequency division multiplexing using the discrete Fourier transform. IEEE transsactions on communications. 1971; 19: 628-634.

Bingham J, Multicarrier modulation for data transmission: An idea whose time has come. IEEE Commun. Mag. 1990; 28(5): 5-14.

Pollet T, Bladel M. V., Moeneclaey M. BER sensitivity of OFDM systems to carrier frequency offset and Wiener phase noise. IEEE Trans. Commun. 1995;43: 191-193.

Jun L, Tjeng T, Adachi F, Cheng Li H. BER performance of OFDM-MDPSK system in frequency selective rician fading and diversity reception. IEEE Trans. Veh. Technol. 2000; 49(4): 1216-1225

Lakshmanan MK, Nikookar H. A review of wavelets for digital wireless communication. Wireless Personal Communications. 2006; 37: 387-420

Zhang H, Yuan D, Jiang M, Wu D. Research of DFT-OFDM and DWT-OFDM on different transmission scenarios. In: Proceedings of IEEE ICITA, 125-127(2004)

Tan P, Beaulieu NC. A Comparison of DCT-OFDM and DFT-OFDM in frequency offset and fading channels. IEEE Trans. Commun. 2006; 54(11): 2113-2125

Gupta D, Vats VB, Garg KK. Performance analysis of DFT-OFDM, DCT-OFDM and DWT-OFDM systems in AWGN channel. In: Proceedings of IEEE Fourth international conference on wireless and Mobile communication, 2008:214-216

Kattoush AH, Mahmoud WA, Nihad S. The performance of multiwavelets based OFDM system under different channel conditions. Digital Signal Processing. 2010; 20(2): 472-482

Kumbasar V, Kucur O. Performance comparison of wavelet based and conventional OFDM systems in multipath Rayleigh fading channels. Digital Signal Processing.2012: 841-846

Gupta MK, Tiwari S. Performance evaluation of conventional and wavelet based OFDM system. Int. J. Electron. Commun. 2013; 67(4): 348-354

Hagenauer J. Rate-compatible punctured Convolutional codes and their applications. IEEE Trans. Commun. 1988; 36: 389-400

Zhang H, Yuan D, Jiang M, Wu D. Performance comparison of WOFDM with different coding schemes. In: Proceedings of IEEE radio and wireless conference RAWCON, 2003:59-62


Refbacks

  • There are currently no refbacks.