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Detecting a Stochastic Signal in Noise

  • Charles L. Weber
Part of the Springer Texts in Electrical Engineering book series (STELE)

Abstract

In the detection models considered thus far we have assumed that the receiver either had complete knowledge of the transmittable waveforms or knew them except for parameters such as phase, amplitude, and/or doppler rf carrier shift. However, in communication systems which, for example, employ the reflecting characteristics of the ionospheric layers of the earth’s atmosphere, the transmitted signals become distorted to such an extent that their received version can be described only statistically, in which cases they have the appearance of a narrowband stochastic process. Such systems are called scatter or multipath communication systems and are often used for conveying information beyond the horizon.

Keywords

Covariance Function Gaussian Random Vector Stochastic Signal Transmittable Waveform Gaussian Noise Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 1987

Authors and Affiliations

  • Charles L. Weber
    • 1
  1. 1.Electrical Engineering DepartmentUniversity of Southern CaliforniaLos AngelesUSA

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