Suppression of co-channel interference in the receiver of a MIMO-OFDM system is considered. The interference and noise spatial covariance matrix measured on the pilot subcarriers is used in data detection and channel estimation. The impact of the accuracy of the matrix decomposition on the structure of the covariance matrix is studied. An algorithm to adapt the accuracy of the matrix decomposition and the use of interference suppression is proposed. The complexity and performance of eigenspace tracking is also considered. The different interference mitigation methods are implemented and the performance-complexity tradeoffs are found out. Eigenspace tracking performs well in some scenarios but the complexity and memory requirements are higher than those of the unstructured model or the adaptive algorithm. A good performance is achieved with the adaptive algorithm in all interference scenarios and the power consumption of the receiver can be reduced by adapting the interference mitigation.
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