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Blind unitary source separation using a multidimensional phase-locked loop

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2 Author(s)
A. Batra ; Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA ; J. R. Barry

Blind source separation cannot generally be performed using second-order statistics alone because of a unitary matrix ambiguity. We present the multidimensional phase-locked loop (MPLL) as a blind algorithm for resolving this ambiguity. The MPLL is a multidimensional generalization of the scalar decision-directed PLL for resolving phase rotations in scalar digital communication systems, and as such is applicable only to discrete-alphabet sources. We compare the MPLL to other known unitary source separation algorithms, and find that the MPLL compares favorably in terms of both performance and complexity.

Published in:

Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on

Date of Conference:

16-18 April 1997