Title :
An Empirical Likelihood Scheme for Signal Detection in MIMO Systems with Nonlinear Interference
Author_Institution :
Inst. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
Unknown interference and colored noise which is called nonlinear interference here, reducing precision and reliability of system seriously, is ubiquitous in the complexity multi-antenna environment. A new approach, to estimate and detect signal in these multi-antenna systems, is introduced in this paper. Nonlinear interference is treated as a nonparametric component in the model and is estimated by Kernel and Empirical Likelihood method. Furthermore, MIMO capacity for these systems is derived and the asymptotic properties of the estimation for transmitted signal and BER performance for signal detection are explored via numerical simulations.
Keywords :
MIMO communication; antennas; interference (signal); signal detection; MIMO systems; colored noise; complexity multiantenna environment; empirical likelihood method; empirical likelihood scheme; kernel method; multiantenna systems; nonlinear interference; signal detection; Atmospheric modeling; Bit error rate; Circuits; Estimation; Interference; MIMO; Physical layer; Receiving antennas; Signal detection; Standardization; Emprical Likelihood component; Multi-Input Multi-Output (MIMO); nonlinear interference;
Conference_Titel :
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3614-9
DOI :
10.1109/PACCS.2009.77
