PROJECT TITLE :

Position-Based Compressed Channel Estimation and Pilot Design for High-Mobility OFDM Systems

ABSTRACT:

With the development of high-speed trains (HSTs) in many countries, providing broadband wireless services in HSTs is crucial. Orthogonal frequency-division multiplexing (OFDM) has been widely adopted for broadband wireless communications due to its high spectral efficiency. But, OFDM is sensitive to the time selectivity caused by high-mobility channels, that prices abundant spectrum or time resources to obtain the correct channel state info (CSI). Thus, the channel estimation in high-mobility OFDM systems has been a protracted-standing challenge. During this paper, we tend to 1st propose a replacement position-based mostly high-mobility channel model, in which the HST's position data and Doppler shift are used to determine the positions of the dominant channel coefficients. Then, we tend to propose a joint pilot placement and pilot symbol design algorithm for compressed channel estimation. It aims to cut back the coherence between the pilot signal and also the proposed channel model and, hence, will improve channel estimation accuracy. Simulation results demonstrate that the proposed technique performs higher than existing channel estimation methods over high-mobility channels. Furthermore, we provide an example of the designed pilot codebook to indicate the sensible applicability of the proposed theme.