Title :
Joint ML and MMSE Estimation Based Signal Detection for MIMO-OFDM Radio over Fiber System
Author :
Xuekang, Sun ; Rong, Qiao
Author_Institution :
Sch. of Telecommun. Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Signal detection plays an important role in the combination system of Radio over Fiber (ROF) link and MIMO-OFDM wireless channel. In this paper, a joint Maximum Likelihood (ML) and Minimum Mean Square Error (MMSE) estimation based signal detection, called as ML-MMSE, is firstly proposed for the MIMO-OFDM Radio over Fiber linear system. Then considering the increase of remote range and the use of nonlinear components in ROF link, we present a further improved scheme to overcome the nonlinear affect, which employs nonlinear channel estimation with fractional sampling technology. The simulation results demonstrate that the proposed detection method under the low SNR condition can improve the detection performance and control its system complexity at a lower level.
Keywords :
MIMO communication; OFDM modulation; channel estimation; least mean squares methods; linear systems; maximum likelihood estimation; optical links; optical signal detection; radio-over-fibre; signal sampling; wireless channels; MIMO-OFDM radio over fiber system; ML estimation based signal detection; MMSE estimation based signal detection; ROF link; fractional sampling technology; linear system; low SNR condition; maximum likelihood; minimum mean square error; nonlinear channel estimation; system complexity; wireless channel; Conferences; Decision support systems; High performance computing; MIMO-OFDM; ML; MMSE; Radio over Fiber; fractional sampling;
Conference_Titel :
High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2164-8
DOI :
10.1109/HPCC.2012.33
