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Simultaneous channel and symbol maximum likelihood estimation in Laplacian noise

In English

Författare

Summary, in English

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

Publiceringsår

1998

Språk

Engelska

Sidor

81-84

Publikation/Tidskrift/Serie

[Host publication title missing]

Dokumenttyp

Konferensbidrag

Ämne

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

Fourth International Conference onSignal Processing Proceedings, 1998. ICSP '98.

Conference date

1998-10-12 - 1998-10-16

Conference place

Beijing, China

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 0-7803-4325-5