A SAGE-Based Joint Parameter Estimation of OFDM System
In this paper, by using an approximate application of the space-alternating generalized expectation-maximization (SAGE) algorithm, we propose an iterative residual frequency offset (RFO) tracking and channel state information (CSI) estimation as well as data detection scheme for orthogonal frequency division multiplexing (OFDM) systems. In the proposed scheme, two processes are considered. The expectation step divided the received signals into multiple hidden signals in time domain. The hidden signals, as complete data, will be used to calculate the expectation of the likelihood function. In the maximum step, by maximize the expectation of likelihood function, the required parameters -RFO, CSI and data symbols-are estimated sequentially in an approximate method by expanding second-order Taylor series. Simulation results confirm the performance and effectiveness of the proposed algorithm.
Orthogonal frequency division multiplexing (OFDM) iterative residual frequency (RFO) space-alternating generalized expectation-maximization (SAGE)
Degang Wang Jibo Wei Jixiang Sun
School of Electronic Science and Engineering National University of Defense Technology, 410073, Changsha, P. R. China
国际会议
上海
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）