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Simultaneous Channel and Symbol Maximum Likelihood Estimation in Laplacian Noise
Responsible organisation
1998 (English)Conference paper, (Refereed) Published
Abstract [en]

This paper treats channel estimation and signal detection in Laplacian noise. The received signal is assumed to be a transmitted signal which has been corrupted by an unknown channel, modeled as a FIR filter, the output being further disturbed by additive independent Laplacian noise. The transmitted signal is assumed to depend on an unknown parameter belonging to a known finite set. The simultaneous maximum likelihood (ML) estimator of the unknown parameter, as well as of the FIR filter coefficients, is derived. The ML estimate of the channel can be obtained by using a linear programming approach and the decision about the parameter is based on the output from a set of generalized matched filters. Simulation results are included in order to illustrate the performance of the proposed receivers.

Place, publisher, year, edition, pages
Beijing: IEEE, Piscataway, NJ, USA , 1998.
Keyword [en]
Signal filtering and prediction, Signal detection, Communication channels (information theory), Spurious signal noise, FIR filters, Parameter estimation, Maximum likelihood estimation, Linear programming, Decision theory, Computer simulation, Additive independent Laplacian noise
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-10058ISI: 000081007500021Local ID: oai:bth.se:forskinfo4B0A73150112AB52C1256C6E00408F6AOAI: oai:DiVA.org:bth-10058DiVA: diva2:838073
Conference
International Conference on Signal Processing Proceedings, ICSP'98
Available from: 2012-09-18 Created: 2002-11-11 Last updated: 2015-06-30Bibliographically approved

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Gustavsson, Jan-Olof
Signal Processing

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