By using multiple receiving antennas and modeling cochannel interference (CCI) together with the noise as additive temporally white Gaussian noise with some spatial color, CCI may be suppressed. This paper proposes spatio-temporal interference rejection combining by modeling the CCI and noise as an autoregressive Gaussian process. In this way, the joint spatial-temporal properties of the CCI may be taken into account. A training sequence based estimator is proposed, and simulations show large gains in CCI rejection as compared to only spatial processing for small antenna arrays in interference limited GSM urban scenarios. An example with data collected with a dual polarized antenna in a suburban environment is also presented. 1 INTRODUCTION The use of wireless communication systems has undergone a rapid growth during the last decade. The physical limitations of the radio channel and the limited radio spectrum makes it non-trivial to meet the demands on higher data rates, quality and ..
