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A robust reduced-rank adaptive beamforming method based on the joint iterative optimization direction-adaptive (JIO-DA) scheme is developed for the large array scenarios based on the linear constraint minimum variance (L-CMV) criterion. The JIO-DA scheme jointly optimizes a reduced-rank filter and a transforming matrix. The columns of the transforming matrix are considered as direction vectors and...
Independent Component Analysis (ICA) is a technique which separates statistically independent component from a set of measured signals. However, in many applications where prefer to extract only one desired signal, it requires an extra post-selection method. This paper develops a sequential blind signal extraction algorithm that attempts to extract cyclostationary sources with unique cyclic frequencies...
The noncircular maximum likelihood (NC-ML) algorithm proposed in this paper is an extension of the maximum likelihood (ML) algorithm to the case of noncircular signals which are used in communication systems. Due to the utilization of noncircular information of signals, the root mean square error (RMSE) performance of NC-ML is better than ML algorithm for noncircular signals. The proposed NC-ML algorithm...
Recently, the attentions of communication societies are paid to MIMO-OFDM systems. In this paper we propose a new beamforming method to the receive end of MIMO-OFDM systems. To make the method work with fewer known OFDM symbols, oversampling samples are employed and multistage decomposition based on orthogonality of sub-carriers of OFDM signal is used to formulate the beamforming weight vector for...
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