Subspace-based Semiblind Channel Estimation in MC-CDMA Systems
Li Zi①; Cai Yue-ming①②
①Institute of Communications Engineering, PLA Univ. of Sci. & Tech., Nanjing 210007, China;②National Mobile Communications Research Laboratory, South East University, Nanjing 210096, China
Abstract:This paper proposes a subspace-based semiblind channel estimation method in MC-CDMA systems. Combined with the characteristic of the signal model in MC-CDMA systems, this semiblind method solves the problem of slow convergence by the initial channel estimation, estimates the scalar ambiguities by inserting some users’ pilots and makes the algorithm complexity low by an iterative operation. All of these make the reality of semiblind channel estimation to be possible. The results of computer simulation prove the correctness of the method.