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A simultaneous maximum likelihood estimator based on a generalized matched filter

Author

Summary, in English

The paper discusses parameter estimation and detection in Laplace distributed noise. The received signal is modeled as r(·)=As(·,&thetas;)+n(·), where A is an unknown amplitude, &thetas; is the parameter vector to be estimated and n(·) is independent Laplace distributed noise. The simultaneous maximum likelihood estimator of (A,&thetas;) is derived. The derived estimator is based on a combination of a weighted median filter [Astola and Nuevo, 1992] and a generalized form of the ordinary matched filter [Gustavsson and Borjesson, 1992]. Examples of performance for four different detectors are given for a case of binary detection, when the amplitude A or the signal shape s(·,&thetas;) are varied. Simulations indicate that the performance of detectors based on the generalized matched filter is not particularly dependent on either the estimate of the amplitude A or the signal shape

Publishing year

1994

Language

English

Pages

481-484

Publication/Series

[Host publication title missing]

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

1994 International Conference on Acoustics, Speech & Signal Processing

Conference date

1994-04-19 - 1994-04-22

Conference place

Adelaide, Australia

Status

Published

ISBN/ISSN/Other

  • ISBN: 0-7803-1775-0