Open AccessInvestigations on wavelet and Fourier transform based channel estimation in MIMO-OFDM system
Author(s) -
B. Somasekhar,
Ch. Mohana Krishna,
Y.V.V.S. Murty
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.21.12178
Subject(s) - discrete fourier transform (general) , algorithm , discrete cosine transform , discrete wavelet transform , harmonic wavelet transform , estimator , multipath propagation , mathematics , discrete sine transform , computer science , channel (broadcasting) , short time fourier transform , fading , delay spread , cyclic prefix , orthogonal frequency division multiplexing , electronic engineering , wavelet transform , fourier transform , wavelet , telecommunications , statistics , engineering , artificial intelligence , fourier analysis , decoding methods , mathematical analysis , image (mathematics)
In this paper channel estimation methods for MIMO-OFDM system are investigated based on Fourier Transform and Wavelet Transform. The channel estimation algorithm based on Discrete Fourier Transform (DFT) cause energy leakage in multipath channel with non-sample-spaced time delays. Discrete Cosine Transform (DCT) based channel estimator can mitigate the drawback of Discrete Fourier Transform based channel estimator, when the non-sample spaced path delays are available in multipath fading channels. Wavelet based systems provide better spectral efficiency because of no cyclic prefix requirement, with narrow side lobes and also exhibit improved BER performance. Simulation results reveal that the DWT based transform outperforms the conventional DFT and DCT based channel estimator in terms of bit error rate and mean square error.