Blind identification of FIR channels carrying multiple finite alphabet signals

Authors:
A.-J. van der Veen;S. Talwar;A. Paulraj
Affiliations:
Inf. Syst. Lab., Stanford Univ., CA, USA;Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA;Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
Venue:
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Year:
1995

Citing 0
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Abstract

The finite alphabet property of digital communication signals, along with oversampling techniques, enables the blind identification and equalization of an unknown FIR channel carrying a superposition of such signals, provided they have the same (known) period. Applied to multi-user wireless communications, the same framework allows the blind separation of multiple finite alphabet signals received at all arbitrary antenna arrays through an unknown multipath propagation environment with finite delay spread. An algorithm is proposed and tested on simulated data.