Comprehensive Comparison and Evaluation of Interpolation Methods for Channel Estimation without Channel Statistical Information in OFDM Systems

Orthogonal frequency division multiplexing (OFDM) is a multicarrier transmission technology in wireless environment that use a large number of orthogonal subcarriers to transmit information. In order to be able to demodulate OFDM signals accurately, channel estimation is needed for received signals. It is important to select a suitable interpolation method for estimation block. The goal of this paper is compering the methods of interpolation in OFDM system without using channel statistics information. Therefore, in this paper, we used pilots for obtaining the information of channel, and by the method of estimation without use of channel statistics information, the channel primary frequency response estimated in pilot’s frequencies. At the end, the whole channel frequency response estimated of pilot frequency response by the different interpolation methods. In this paper, different interpolation methods such as Linear, Second order, Spline, Cubic Hermite and Low pass interpolation are compared.