Reduced-Complexity Channel Estimation for ISDB-T One-Seg using Modified Orthogonal Matching Pursuit

Integrated Services Digital Broadcasting for Terrestrial (ISDB-T) One-Seg is a Japanese standard for digital television specifically for mobile reception. It uses Orthogonal Frequency Division Multiplexing (OFDM) that provides robustness against multipath fading. A novel approach called Compressed Sensing (CS) has been implemented for estimating the Channel State Information (CSI). The CS improves the spectral efficiency by estimating the CSI with less measurement. However CS requires high computational cost that makes the method difficult for actual implementation. This paper proposes a new approach for channel estimation using reduced size sparse measurement matrix combined with Modified Orthogonal Matching Pursuit (MOMP) algorithm. The simulation shows that the proposed method provides less execution time for CSI calculation. Keywords—OFDM, compressed sensing, matching pursuit, channel estimation