Now showing items 1-6 of 6
Blind MIMO FIR Channel Identification Based on Second-Order Statistics with Multiple Signals Recovery
To separate and recover multiple signals in data communications, antenna arrays and acoustic sensor arrays, the impulse responses of multiple-input/multiple-output (MIMO) channels have to be identified explicitly or ...
On the Convergence of Blind Channel Equalization
Baud-rate blind equalization algorithms may converge to undesirable stable equilibria due to different reasons. One is the use of FIR filter as an equalizer. It is proved in this paper that this kind of local minima exist ...
Adaptive Blind Multi-Channel Equalization for Multiple Signals Separation
This paper investigates adaptive blind equalization for multiple- input and multiple-output (MIMO) channels and its application to blind separation of multiple signals received by antenna arrays in communication systems. ...
Fast Blind Adaptive Algorithms for Equalization and Diversity Reception in Wireless Communications Using Antenna Arrays
To combat the multipath and time-variant fading of wireless communication channels, antenna arrays are usually used to improve the quality and increase the capacity of communication service. This paper investigates the ...
A Fast Minimal-Symbol Subspace Approach to Blind Identification and Equalization
A subspace-based blind channel identification algorithm using only the fact that the received signal can be oversampled is proposed. No direct use is made of the statistics of the input sequence or even of the fact that ...
Static and Dynamic Convergence Behavior of Adaptive Blind Equalizers
This paper presents a theoretical analysis of the static and dynamic convergence behavior for a general class of adaptive blind equalizers. We first study the properties of prediction error functions of blind equalization ...