Statistical Analysis Approach to Reduce Inter Channel Interference by using Kalaman Filter in term of BER & SNR

Abstract Many wireless networks have adapted the same communication approach. The OFDM communication is very much inspired from the channel frequencies over the network.  In such a network some kind of orthogonal distortion occurs over the channel called Inter Carrier Interference. In this work, we are presenting the concept of mathematical model called Kalman filter to analyze the signal interference and to resolve the problem. In first phase the signal is analyzed for the disruption using Kalman filter and adaptive filter is implemented to reduce the ICI over the signal. The mathematical analysis is performed by using Extended Kalman filter. The result analysis has been performed with respect to BER and the SNR. A novel spatial Kalman filtering scheme is proposed as the second stage to successively cancel the ICI. Simulation results show the effectiveness of the proposed two-stage method and its robustness to channel estimation uncertainties that may arise in practical systems.

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Engineering Journal: Statistical Analysis Approach to Reduce Inter Channel Interference by using Kalaman Filter in term of BER & SNR

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