NDLI: A subspace approach to adaptive narrow-band interference suppression in DSSS

Content Provider	IEEE Xplore Digital Library
Author	Fathallah, H. Rusch, L.A.
Copyright Year	1972
Abstract	We address the problem of suppression of a digital narrow-band interferer in direct-sequence spread spectrum (DSSS) communications. We focus on the adaptive suppression method proposed by Honig, Madhow and Verdti (see IEEE Trans. Inform. Theory, vol.41, p.944-960, 1995) for wide-band interference, applying it to a narrow-band interferer. We identify the eigenspaces of the system dynamics to analyze the convergence of the adaptive version of the minimum mean square error (MMSE) algorithm for this application. Using this subspace approach we are able to: (1) significantly decrease the convergence times via a new constraint on the step size in adaptation; (2) introduce a simple parameterization of the mean output energy (MOE) and signal-to-interference ratio (SIR) to compare performance of various receivers; and (3) identify modes of operation where the algorithm will cease to effectively cancel interference. We propose a new adaptive receiver that avoids the convergence anomalies identified, while capitalizing on the new step size for faster convergence. Simulation results to support theoretical results are presented.
Starting Page	1575
Ending Page	1585
Page Count	11
File Size	506509
File Format	PDF
ISSN	00906778
Volume Number	45
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Narrowband Convergence Spread spectrum communication Wideband Algorithm design and analysis Mean square error methods Interference constraints Subspace constraints Signal processing Interference cancellation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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