Broadband MIMO-OFDM channel estimation via near-maximum likelihood Time Of Arrival estimation

This paper contains a new frequency-domain multi-stream channel estimation technique for communication systems such as MIMO-OFDM. The estimator works by first determining the Time Of Arrivals (TOAs) of each data stream using a near Maximum Likelihood (ML) approach and then solving for the corresponding gains. In addition, this paper presents a training sequence that enables other TOA estimators such as ESPRIT to determine multiple data stream´s TOAs. The performance of various channel estimators is compared through simulations and experimental data and the results show that the new TOA estimator has the best overall performance.