NDLI: Polarization-based zero forcing suppression with multiple degrees of freedom

Content Provider	IEEE Xplore Digital Library
Author	Pratt, T.G. Tapse, H. Fette, B. Baxley, R. Walkenhorst, B. Acosta-Marum, G.
Copyright Year	2011
Description	Author affiliation: DARPA, Arlington, VA 22205, USA (Fette, B.) \|\| Georgia Tech Research Institute, Atlanta, 30318, USA (Baxley, R.; Walkenhorst, B.; Acosta-Marum, G.) \|\| University of Notre Dame, IN 46556, USA (Pratt, T.G.; Tapse, H.)
Abstract	Polarization-based suppression with zero forcing (ZF) is limited by similarities in the polarization-frequency response of the desired and interference signals. At subcarriers where the responses are similar, suppression of the interference also leads to suppression of the desired signal, and achievable cancellation ratios are correspondingly limited. A measure called the polarization power coupling (PPC) function is introduced for determining the impact of ZF on desired signal suppression. The PPC function provides a useful measure for predicting the magnitude of the suppression of the desired signal as a function of the subcarrier frequency. We consider the use of an additional degree of freedom (DOF), e.g., with a partially correlated or uncorrelated PPC response, to provide diversity detection for improving symbol error rate (SER) performance associated with recovery of the desired signal. The approach employs suppression diversity on a subcarrier-by-subcarrier basis and uses the PPC function to identify the ZF filter response leading to a better estimate of the desired signal symbols in each subcarrier. The method is shown to provide reduced suppression of the desired signal and to improved SER performance. An alternative use of the additional DOF is considered for suppression of a second source in a two-stage processing scheme, and a receiver architecture is proposed that exploits the diversity and suppression extensions enabled by an additional degree of freedom.
Starting Page	2246
Ending Page	2251
File Size	2537031
Page Count	6
File Format	PDF
ISBN	9781467300797
ISSN	21557578
e-ISBN	9781467300810
DOI	10.1109/MILCOM.2011.6127654
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Receivers Channel estimation Antennas Vectors Couplings Program processors Diversity Polarization Zero Forcing Suppression Degree of Freedom
Content Type	Text
Resource Type	Article

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