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Although several Kalman filtering algorithms have been presented for adaptive multiuser detection, none is “blind” due to requiring training data sequences and/or more knowledge than the spreading waveform and delay of the desired user. This paper proposes a novel blind adaptive multiuser detector based on Kalman filtering and compares it with previously(More)
This work develops a new fast recursive total least squares (N-RTLS) algorithm to recursively compute the total least squares (TLS) solution for adaptive infinite-impulse-response (IIR) filtering. The new algorithm is based on the minimization of the constraint Rayleigh quotient in which the first entry of the parameter vector is fixed to the negative one.(More)
This letter proposes a novel second-order statistics-based sequential blind extraction algorithm via approximate joint diagonalization of autocorrelation matrices. The proposed algorithm is computationally simple and efficient and can extract specific sources if some a priori knowledge is available. An experiment on real-world ECG data validates the good(More)
Radially integrated bispectra (RIB), axially integrated bispectra (AIB), and circularly integrated bispectra (CIB) were used as feature vectors of signals, but many bispectra on integration paths may be redundant, and some bispectra are even baneful for signal classification. To avoid these problems, this paper proposes using selected bispectra with the(More)
We consider coordinated linear precoding in downlink multicell multiple-input multiple-output orthogonal frequency-division multiple access (MIMO-OFDMA) systems, where multiple base stations (BSs) coordinate to mitigate the co-channel interference. Two nonconvex rate optimization problems with per-cell power constraints are addressed: weighted sum rate(More)