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Performance Analysis of Convolutional Interleaved DWT based OFDM system
KARANPREET KAUR, ANKUSH KANSAL Department of Electronics and Communication Engineering, Thapar University, Patiala
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Abstract: Discrete Wavelet Transform (DWT) is broadly considered as an efficient approach to replace FFT in the conventional OFDM systems due to its better time-frequency localization, bit error rate improvement, interference minimization, improvement in bandwidth efficiency and many more advantages. In this paper, the DWT based OFDM system with Convolutional encoding is introduced and its BER performance is compared with the DWT-OFDM system without encoding in both AWGN and Rayleigh channel. Simulation results show that the DWT-OFDM system with encoding outperforms the DWT-OFDM system without encoding and BER is significantly improved over higher values of SNR in both the channels.
Keywords: Discrete Wavelet transform (DWT), Discrete Wavelet based OFDM (DWT-OFDM), Convolutional Encoding
Keywords: Discrete Wavelet transform (DWT), Discrete Wavelet based OFDM (DWT-OFDM), Convolutional Encoding
How to Cite:
[1] KARANPREET KAUR, ANKUSH KANSAL Department of Electronics and Communication Engineering, Thapar University, Patiala, βPerformance Analysis of Convolutional Interleaved DWT based OFDM system,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.