TY - JOUR
T1 - Optimum Block Adaptive Algorithm For Gradient Based Independent Component Analysis(Oba/Ica) For Time Varying Wireless Channels
AU - Mikhael, W.
AU - Yang, T.
PY - 2005/1/1
Y1 - 2005/1/1
N2 - The fixed-point Independent Component Analysis (ICA) algorithm is widely used because of its fast convergence under static conditions. However, in a highly dynamic environment, it lacks the ability to adapt to the time variation of the mixing matrix. This paper develops an Optimum Block Adaptation ICA algorithm (OBA/ICA) that is capable of tracking time variation. Simulation results for mobile telecommunication applications indicate that the resulting performance, particularly with respect to convergence properties, is superior to Fast-ICA under dynamic channel conditions.
AB - The fixed-point Independent Component Analysis (ICA) algorithm is widely used because of its fast convergence under static conditions. However, in a highly dynamic environment, it lacks the ability to adapt to the time variation of the mixing matrix. This paper develops an Optimum Block Adaptation ICA algorithm (OBA/ICA) that is capable of tracking time variation. Simulation results for mobile telecommunication applications indicate that the resulting performance, particularly with respect to convergence properties, is superior to Fast-ICA under dynamic channel conditions.
KW - Adaptive signal processing
KW - Interference suppression
KW - Time-varying channels
UR - https://stars.library.ucf.edu/scopus2000/4231
U2 - 10.1109/VETECF.2005.1558946
DO - 10.1109/VETECF.2005.1558946
M3 - Article
SN - 2577-2465
VL - 4
JO - IEEE Vehicular Technology Conference
JF - IEEE Vehicular Technology Conference
ER -