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An algorithm which uses the Kalman filter to estimate the time-varying fading coefficients in orthogonal frequency division multiplexing (OFDM) systems is addressed. The algorithm is based on a parametric channel model where the channel response is characterized as a collection of sparse propagation paths. We investigate into how to estimate the channel by the Kalman filter in the pilot-aided OFDM...
The estimation of a time-varying fading channel in multiple-input multiple-output (MIMO) wireless systems is a difficult task for the receiver. Its performance can be improved if an appropriate channel estimation filter is used according to the prior knowledge of the fading channel. The authors propose an algorithm which uses the Kalman filter based on Clarke's model to track the MIMO time-varying...
A new algorithm for tracking time-varying fading channels in impulse noise environment is proposed in this paper, which uses the Kalman filter based on Clarke's model. However, the Kalman filter is known to be sensitive to impulse noise. In this paper, we investigate into how to restrain the adverse effect of impulse noise. The impulsive noise is modeled as a two-term Gaussian mixture distribution...
Multipath is a major impairment in the wireless communication system, and the channel estimation significantly affects the performance of the receiver. Its performance can be improved if an appropriate channel estimation filter is used according to the foreknow information of the fading channel. We propose an algorithm which uses the Kalman filter based on Clarke's model to track the time-varying...
The estimation of a time-varying multipath fading channel is a difficult task for the receiver. Its performance can be improved if an appropriate channel estimation filter is used according to the prior knowledge of the fading channel. We propose an algorithm which uses the Kalman filter based on Clarke's model to track the time-varying multipath fading channel. To reduce the complexity of the high-dimensional...
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