ABSTRACT
In a real-world scenario, a node is not necessarily bound to be stationary all the time. Hence, when the communicating nodes are associated with fast time-varying fading due to large mobility range, the channel estimation problem becomes highly complicated because of large Doppler spreads in received signal which have detrimental effects on the system’s overall performance. In such cases, to completely and accurately obtain the channel characteristics, the estimation process should be capable of estimating the values of Doppler offset and the coefficients of the channel, which renders the overall estimation of the channel non-linear. Moreover the process of channel estimation for obtaining the channel state information and Doppler offset influences has to be computationally efficient, in order to avoid delays, and to ensure better battery performance. In this paper, we address this non-linear channel estimation problem of obtaining the channel coefficients and Doppler offset via the proposed hybrid Takagi-Sugeno (TS) fuzzy Kalman filter based channel estimation technique over Nakagami-m fading channel conditions over a range of fade severity.
