BER Analysis of OFDM with Raised Cosine Window and Equalization using Rician Channe
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 8)Publication Date: 2014-08-30
Authors : Nikhil Bhardwaj; Ankush Kansal;
Page : 486-492
Keywords : OFDM; Rician; Equalization; RC Windowing.;
Abstract
Wireless communications is emerging as the largest sectors of telecommunications industry. It is the one area that promises a lot of prospects for growth in the coming century. The major challenges for the future research and study in this field include utilizing the limited available spectrum efficiently and improved link reliability between communicating equipment. The environment in which the communication equipments are required to be operating suffers from fading and interference from other users. Frequency selective fading channels can model such hostile conditions that exist in the environment. The Orthogonal Frequency Division Multiplexing (OFDM) technique that is a multi-carrier technique for data transmission is best suited for such channel models. OFDM is thus characterized by the presence of many sub-carriers. These sub-carriers among the different users bear an orthogonal relation with each other. Here the user spectrums have the flexibility to overlap thereby leading to an enhanced spectrum efficiency of the system. This flexibility is provided by this orthogonal relationship between the sub-carriers as it is necessary in overcoming deteriorating effects such as ICI or Inter-Carrier Interference which is responsible for reducing the BER (Bit Error Rate) performance of the system. Here, it is observed that for the traditional OFDM system the SNR of 55 dB is achieved as compared to the simulated result (involving RC (Raised Cosine) window and Equalization techniques) of an SNR value of 31 dB; for the bit error rate value of 10−2.9 under Rician channel. So, an improvement of 24 dB is achieved with the proposed OFDM system. Thus, the BER performance of the system shows improvement.
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Last modified: 2014-09-03 17:00:56