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Proceedings Paper

A Signal Subspace Method For Interference Cancellation
Author(s): Benjamin Friedlander
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Paper Abstract

An interference cancellation technique that combines a signal subspace approach with adaptive adjustment of the weight vector is derived. The weight vector is constrained to lie in a signal subspace computed by eigendecomposition of the covariance matrix of the array outputs. The weight vector is rotated to maximize the output signal-to-interference ratio. The technique does not require array calibration as in other subspace methods. The proposed technique applies to receiver arrays for digital communication signals. The case of a BPSK signal modulating an AM transmitter is analyzed in some detail. Numerical examples illustrating the behavior of the algorithm are provided.

Paper Details

Date Published: 21 January 1988
PDF: 10 pages
Proc. SPIE 0826, Advanced Algorithms and Architectures for Signal Processing II, (21 January 1988); doi: 10.1117/12.942017
Show Author Affiliations
Benjamin Friedlander, Saxpy Computer Corporation (United States)


Published in SPIE Proceedings Vol. 0826:
Advanced Algorithms and Architectures for Signal Processing II
Franklin T. Luk, Editor(s)

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