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) - Slides

RFI Modeling and Mitigation Toolbox

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 impulsive statistics. 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 complexity. Simulations show significant improvement in symbol error rate performance of the proposed techniques over conventional receivers.

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Last Updated 12/21/09.