Improvement of BER in Wavelet Transform-based OFDM System with Kalman Filter

Abstract

Abstract

We know that bandwidth is the most precious commodity in all communication systems such as 2G, 3G and 4G. Each service provider is now searching how to accommodate a large number of users within a limited allocated bandwidth, In order to increase the data rate of wireless medium with higher performance, orthogonal frequency division multiplexing (OFDM) is chosen. In this paper, the bit error rate analysis (BER) of discrete wavelet transform (DWT)-OFDM system is compared with conventional fast Fourier transform (FFT)-OFDM system in order to ensure that wavelet transform-based OFDM transmission gives better improvement to combat ICI than FFT-based OFDM transmission and hence improvement in BER. Wavelet transform is applied together with OFDM technology in order to improve performance. In the proposed system, the authors are using Kalman filter in order to improve BER by minimizing the effect of ICI and noise. Obtained results from proposed system simulation showed acceptable BER performance at low SNR.

Keywords: OFDM, discrete wavelet transform, fast fourier transform, DWT based OFDM, FFT based OFDM, BER, kalman filter