Semiblind Channel Estimation and Signal Detection for OFDM System with Receiver Diversity

In this paper, we address the problem of channel estimation and signal detection for orthogonal frequency division multiplexing (OFDM) system with multiple receive antennas. The received signal can be denoted as a trilinear model, and then a trilinear decomposition-based channel estimation and signal detection algorithm is proposed. Scalar ambiguity which is inherent in the blind algorithms can be easily resolved by insertion fewer pilots in the proposed algorithm. Compared with conventional subspace approaches, the proposed algorithm has improved estimation performance, and the signal detection performance of the proposed algorithm is very close to non-blind minimum mean square error (MMSE) receiver. Furthermore, our proposed algorithm works well in the presence/absence of virtual carriers, and it does not require knowledge of statistical characteristics. Simulation results illustrate performance of the algorithm.