Compressed sensing based non-sample spaced sparse channel estimation in OFDM system
Résumé
This paper investigates the non-sample spaced sparse channel estimation in OFDM system. Aims to pursuing effective estimation performance for the non-sample spaced channel with statistical delays of the multipath, the concept of the redundant dictionary is introduced and the compressed sensing (CS) theory is discussed and employed. In the simulations, the performances of the conventional method and the CS based method are compared.