Groh, Ingmar und Staudinger, Emanuel und Sand, Stephan (2011) Low Complexity High Resolution Maximum Likelihood Channel Estimation in Spread Spectrum Navigation Systems. 74th IEEE Vehicular Technology Conference (VTC-FAll), 2011-09-05 - 2011-09-08, San Francisco, CA, USA.
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Kurzfassung
Traditionally, the low complexity maximum likelihood (ML) estimation of several closely-spaced superimposed signal replicas in a communications or navigation receiver is per-formed using expectation maximization (EM) or space alternating generalized expectation maximization (SAGE) methods. However, the componentwise decomposition of a multidimensional log-likelihood function according to the EM or SAGE algorithm fails for realistic time-variant channels. Thus, we consider the minimization of a multidimensional log likelihood function for the closely-spaced channel delays. To get this log-likelihood function, we use a decomposition of the highly time-variant channel path phasors based on Slepian’s subspaces. The obtained log-likelihood function enables a coherent averaging over several hundred codewords even for high-mobility receivers. Therefore, we avoid the squaring loss (SL) that appears for the conventional incoherent averaging and incoherent log likelihood functions. Our simulations show that the minimization of coherent log-likelihood functions based on Slepian’s functions yields a root mean square error (RMSE) of the line of sight (LOS) delay estimation that approximates the Cramer-Rao bound (CRB) rather closely.
elib-URL des Eintrags: | https://elib.dlr.de/69861/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Low Complexity High Resolution Maximum Likelihood Channel Estimation in Spread Spectrum Navigation Systems | ||||||||||||||||
Autoren: |
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Datum: | 2011 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | spread spectrum system, synchronization, maximum likelihood estimation, multipath mitigation | ||||||||||||||||
Veranstaltungstitel: | 74th IEEE Vehicular Technology Conference (VTC-FAll) | ||||||||||||||||
Veranstaltungsort: | San Francisco, CA, USA | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 5 September 2011 | ||||||||||||||||
Veranstaltungsende: | 8 September 2011 | ||||||||||||||||
Veranstalter : | IEEE Vehicular Technology Society | ||||||||||||||||
HGF - Forschungsbereich: | Verkehr und Weltraum (alt) | ||||||||||||||||
HGF - Programm: | Weltraum (alt) | ||||||||||||||||
HGF - Programmthema: | W KN - Kommunikation/Navigation | ||||||||||||||||
DLR - Schwerpunkt: | Weltraum | ||||||||||||||||
DLR - Forschungsgebiet: | W KN - Kommunikation/Navigation | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | W - Vorhaben GNSS2/Neue Dienste und Produkte (alt) | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Kommunikation und Navigation > Nachrichtensysteme | ||||||||||||||||
Hinterlegt von: | Sand, Dr Stephan | ||||||||||||||||
Hinterlegt am: | 07 Okt 2011 09:25 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 19:35 |
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