A digital communication system is developed, using moving average matched filter (MAMF) detectors, for environments where the noise is unknown a priori and may change constantly and significantly. A system in which basis vectors representing a signal subspace are transmitted rather than a fixed signal vector is described. At the receiver the transmitted basis-vectors are linearly combined so that the output signal-to-noise ratio (OSNR) of the MAMF is maximized. This linear combination represents an adaptation of the transmitted signal to changes in the noise environment. A system combining the fixed vector and the signal subspace approaches is simulated and shown to potentially outperform either system alone for an arbitrary distribution of narrowband noise center frequencies
Published in:
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
(Volume:5
)
Date of Conference: 23-26 Mar 1992