Learn 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)
—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)