• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2019, Volume: 12, Issue: 46, Pages: 1-8

Original Article

Channel Estimation of DWT Based MIMO-OFDM System in Wireless Communication


Objectives: The study is to analyse the 5×5 wavelet based Multiple Inputs Multiple Outputs (MIMO)-Orthogonal Frequency Division Multiplexing (OFDM) system, considered to observe the system BER performance and system capacity for higher count of transmitter/receiver compared to conventional systems (i.e. 2×2). Methods analysis: This study basically involves the Least Square channel estimation method which helps to easily equate the higher number of transmitter and receiver. With the FFT Tool being used in OFDM systems, the problem of the higher bit error rate was still the matter of concern. To further avoid this problem, researcher’s has adopted a better method called as Wavelet Transform Tool. The results have been discussed by using BER versus SNR graph. The simulation results are being performed on MATLAB platform of R2016a version. Findings: The simulation results, have the wavelet based MIMO-OFDM system with and without channel coding, which shows that a system with channel coding has better BER performance than system without channel coding because it helps to detect and correct the errors. The simulation results for throughput performance of the system with different modulation order/schemes, and code rate shows that there is a trade-off between the BER performance and code rate of the system. When the code rate and modulation order of a system increases, there is an increase in capacity to carry more information at a time along with the tendency of occurring error too. The proposed work is being compared with the conventional system (2×2) showing use of higher count of transmitter/receiver helps in transmitting more bits at a time but with a drawback of higher BER. It can further be the area of research of transmitting data by multiple users simultaneously, using most appropriate tool/methods that cause better system performance. Application: This study results can be used for further analysis in the wireless communication field and for achieving higher data rate for multiple users. 
Keywords: Multiple Inputs Multiple Outputs, Orthogonal Frequency Division Multiplexing, Intersymbol Interference, Discrete Wavelet Transform.


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