Selective Interference Cancellation using Kalman Filtering

In present paper we have investigated a co-channel interference cancellation technique based on the tracking a limited number of strongest interferers only. With the assumption of synchronous base stations operation with overlapping but different training signals (pilots). Kalman filtering may be used for interfering channels estimation and further calculation of interference correlation matrix. This correlation matrix estimate is exploited in ZF or MMSE based interference cancellation scheme. Developed approach for synchronous interference mitigation may be used in next generation of the WiMAX systems.