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Article . 2019
License: CC BY
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Statistical Analysis Approach to Reduce Inter Channel Interference by using Kalaman Filter in term of BER & SNR

Authors: Lokesh Kumar;

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

Abstract

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.

Keywords

Decision-feedback equalization, digital communications receiver, frequency selective time-varying fading channel, interference suppression, iteration detection, Kalman filter.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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