A simultaneous maximum likelihood estimator based on a generalized matched filter

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


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


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering
Original languageEnglish
Title of host publication[Host publication title missing]
StatePublished - 1994
Publication categoryResearch
Event1994 International Conference on Acoustics, Speech & Signal Processing - Adelaide, Australia
Duration: 1994 Apr 191994 Apr 22


Conference1994 International Conference on Acoustics, Speech & Signal Processing

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