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A Simultaneous Maximum Likelihood Estimator Based on a Generalized Matched Filter
Responsible organisation
1994 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

This paper discusses parameter estimation and detection in laplace distributed noise. The received signal is modeled as r($DOT@) $EQ As($DOT@,$theta@) $PLU n($DOT@), where A is an unknown amplitude, $theta is the parameter vector to be estimated and n($DOT@) is independent laplace distributed noise. The simultaneous maximum likelihood estimator of (A,$theta@) is derived. The derived estimator is based on a combination of a weighted median filter$LB@1$RB and a generalized form of the ordinary matched filter$LB@2$RB@. Examples of performance for four different detectors are given for a case of binary detection, when the amplitude A or the signal shape s($DOT@,$theta@) 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.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE , 1994.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-10011Local ID: oai:bth.se:forskinfo56D809D94AD1B8A1C12568A3002CAA4CISBN: 0-7803-1775-0 (hft.) 0-7803-1776-9 (inb.) 0-7803-1777-7 (mikrofiche) (print)OAI: oai:DiVA.org:bth-10011DiVA: diva2:838018
Conference
ICASSP-94 / 1994 International Conference on Acoustics, Speech and Signal Processing, April 19-22, 1994, Adelaide, South Australia
Available from: 2012-09-18 Created: 2000-03-15 Last updated: 2015-06-30Bibliographically approved

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Gustavsson, Jan-Olof
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