Abstract
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
| Original language | English |
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| Title of host publication | [Host publication title missing] |
| Pages | 481-484 |
| DOIs | |
| Publication status | Published - 1994 |
| Event | 1994 International Conference on Acoustics, Speech & Signal Processing - Adelaide, Australia Duration: 1994 Apr 19 → 1994 Apr 22 |
Conference
| Conference | 1994 International Conference on Acoustics, Speech & Signal Processing |
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| Country/Territory | Australia |
| City | Adelaide |
| Period | 1994/04/19 → 1994/04/22 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering