Proc. IEEE Global Communications Conference,
Dec. 1-5, 2008,
accepted for publication.
MIMO Receiver Design in the Presence of Radio Frequency Interference
Kapil Gulati (1),
Aditya Chopra (1),
Robert W. Heath, Jr., (1),
Brian L. Evans (1),
Keith R. Tinsley (2) and
Xintian E. Lin (2)
(1) Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
(2) System Technology Lab, Intel, Hillsborough, Oregon USA.
Paper (Draft) -
RFI Modeling and
RFI Mitigation Research at UT Austin
Multi-input multi-output (MIMO) receivers have typically been
designed and their communication performance analyzed under the
assumption of additive Gaussian noise.
Wireless transceivers, however, may be affected by radio frequency
interference (RFI) which is well modeled using non-Gaussian
In this paper, we consider the problem of receiver design for a
two transmit, two receive antenna MIMO system in the presence of RFI.
First, we show that RFI is well modeled using a bivariate Middleton
Class A model and validate the model with measured data.
Using this RFI model, we demonstrate that conventional MIMO receivers
experience significant degradation in communication performance.
Then we derive the maximum likelihood (ML) receiver assuming bivariate
Middleton Class A noise.
Furthermore, we develop a parameter estimation method for this noise
model and propose two sub-optimal ML receivers with reduced computational
Simulations show significant improvement in symbol error rate performance
of the proposed techniques over conventional receivers.
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