On correspondence between training-based and semiblind second-order adaptive techniques for mitigation of synchronous CCI

Authors:
Y.I. Abramovich;A.M. Kuzminskiy
Affiliations:
Intelligence Surveillance & Reconnaissance Div., Defence Sci. & Technol. Organ., Edinburg, SA, Australia;-
Venue:
IEEE Transactions on Signal Processing - Part I
Year:
2006

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Non-stationary multiple-antenna interference cancellation for unsynchronized OFDM systems with distributed training

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Abstract

The synchronous interference cancellation problem is addressed when training and working intervals are available that contain the desired signal and completely overlapping interference. A maximum-likelihood (ML) approach is applied for estimation of the structured covariance matrices over both training and working intervals for a Gaussian data model. It is shown that the efficiency of the ML solution is close to the efficiency of the least-squares (LS) estimator, which means that the conventional training-based LS algorithm practically cannot be improved upon in the class of second-order semiblind techniques under the synchronous interference scenario.