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2009 Pacific-Asia Conference on Circuits, Communications and Systems
An Empirical Likelihood Scheme for Signal Detection in MIMO Systems with Nonlinear Interference
Chengdu, China
May 16-May 17
ISBN: 978-0-7695-3614-9
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.
Index Terms:
Multi-Input Multi-Output (MIMO); nonlinear interference; Emprical Likelihood component
Citation:
Fangmin Xu, "An Empirical Likelihood Scheme for Signal Detection in MIMO Systems with Nonlinear Interference," paccs, pp.540-543, 2009 Pacific-Asia Conference on Circuits, Communications and Systems, 2009
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