Blind separation of OSTBC signals using ICA neural networks
J Liu, AP Iserte, MA Lagunas - Proceedings of the 3rd IEEE …, 2003 - ieeexplore.ieee.org
J Liu, AP Iserte, MA Lagunas
Proceedings of the 3rd IEEE International Symposium on Signal …, 2003•ieeexplore.ieee.orgSpace-time block coding (STBC) is a widely studied transmitter diversity scheme able to
increase the capacity of the scatter wireless channel. Most of the existing detection
techniques at the receiver assume perfect channel knowledge, requiring the use of training
sequences. Independent component analysis (ICA) neural networks are a class of non-
trained signal processing methods able to separate linearly mixed independent signals. In
this paper, we consider the possibility of applying ICA to blindly detect orthogonal STBC …
increase the capacity of the scatter wireless channel. Most of the existing detection
techniques at the receiver assume perfect channel knowledge, requiring the use of training
sequences. Independent component analysis (ICA) neural networks are a class of non-
trained signal processing methods able to separate linearly mixed independent signals. In
this paper, we consider the possibility of applying ICA to blindly detect orthogonal STBC …
Space-time block coding (STBC) is a widely studied transmitter diversity scheme able to increase the capacity of the scatter wireless channel. Most of the existing detection techniques at the receiver assume perfect channel knowledge, requiring the use of training sequences. Independent component analysis (ICA) neural networks are a class of non-trained signal processing methods able to separate linearly mixed independent signals. In this paper, we consider the possibility of applying ICA to blindly detect orthogonal STBC without channel knowledge. The recovered signals may also be used to estimate the unknown channel parameters, complementing other classical receiver schemes.
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