NDLI: Maximum likelihood estimation of constellation vectors for blind separation of co-channel BPSK signals and its performance analysis

Content Provider	IEEE Xplore Digital Library
Author	Kannan, A. Reddy, V.U.
Copyright Year	1991
Abstract	In this paper, we present a method for blind separation of co-channel BPSK signals arriving at an antenna array. This method consists of two parts: the maximum likelihood constellation estimation and assignment. We show that at high SNR, the maximum likelihood constellation estimation is well approximated by the smallest distance clustering algorithm, which we proposed earlier on heuristic grounds. We observe that both these methods for estimating the constellation vectors perform very well at high SNR and nearly attain Cramer-Rao bounds. Using this fact and noting that the assignment algorithm causes negligible error at high SNR, we derive upper bounds on the probability of bit error for the above method at high SNR. These upper bounds fall very rapidly with increasing SNR, showing that our constellation estimation-assignment approach is very efficient. Simulation results are given to demonstrate the usefulness of the bounds.
Sponsorship	IEEE Signal Processing Society
Starting Page	1736
Ending Page	1741
Page Count	6
File Size	289795
File Format	PDF
ISSN	1053587X
Volume Number	45
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Binary phase shift keying Signal processing algorithms Clustering algorithms Equations Antenna arrays Upper bound Performance analysis Signal to noise ratio Antenna accessories
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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