Simultaneous Channel and Symbol Maximum Likelihood Estimation in Laplacian Noise

Godkänd; 1998; 20080222 (ysko)
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.

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Signalbehandling hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing hsv//eng
TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
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
Signalbehandling

Nordebo, Sven (författare)
Börjesson, Per OlaLuleå tekniska universitet,Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)tde-pbo (författare)
Institutionen för elektro- och informationsteknikInstitutioner vid LTH (creator_code:org_t)

Ingår i:[Host publication title missing]Beijing : IEEE, Piscataway, NJ, USA, s. 81-840780343255

Av författaren/redakt...: Gustavsson, Jan- ...; Nordebo, Sven; Börjesson, Per O ...

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Signalbehandling

Av lärosätet: Blekinge Tekniska Högskola; Lunds universitet; Luleå tekniska universitet

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