Performance Analysis of a signal by removing ICI using Kalman Filter for OFDM Channel

Abstract

The OFDM communication is very much inspired from the channel frequencies over the network. In such network some kind of orthogonal di stortion occur over the channel called Inter carrier Interference. Here we will improve the ICI using Kalman Filtering improv ed by using repetitive slot and correlated channel tap. The Kalman Filter is been improved by implementing the two stage kalman fil ter. In first stage the Kalman based statistical analysis is performed to estimate the PAPR and the respective Phase variated PAPR reduction is performed. In second stage the ICI reduction is performed by implementing the Kalman filter based carrier offset values. The proposed work of this paper is when data travel over some channel it suffers from the problem of interference. The interf erence results the high signal to noise ratio as well as high bit error rate. The proposed system will improved the si gnal by removing the different kind of impurities over the signal. These impurities includes the ICI, PAPR and the noise over the signal. The signal will be more ef fective than standard OFDM. S o we neednt many pilot symbols in practice, still can ensure the algorithm performance and reduce the time - delay and complexity of this algorithm