Abstract:
In the single-user scenario in data communications, the identification and equalization of the channel can be accomplished blindly (i.e., without training sequences) usin...Show MoreMetadata
Abstract:
In the single-user scenario in data communications, the identification and equalization of the channel can be accomplished blindly (i.e., without training sequences) using second-order statistics (SOS) if suitable diversity in the received signal is exploited. Diversity can be temporal, spatial, or both. In this paper one well known SOS based blind identification and equalization (BIE) of communication channels is extended to the multi-input scenario. It is shown that the application of this SOS-BIE procedure reduces the system to a problem of blind source separation (BSS) of instantaneous linear mixtures. The users' signals can then be recovered in a second stage through appropriate BSS techniques, typically requiring higher-order statistics.
Published in: 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)
Date of Conference: 01-03 July 2002
Date Added to IEEE Xplore: 15 April 2003
Print ISBN:0-7803-7503-3