Title:
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Conditional maximum likelihood frequency estimation for staggered modulations
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Author:
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Riba Sagarra, Jaume; Vázquez Grau, Gregorio
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
Abstract:
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The use of spectrally efficient continuous phase modulations for mobile communications may lead to a serious performance degradation of the classical frequency error detectors (FEDs) due to the presence of self-noise. This article presents a new statistically efficient frequency estimation algorithm for staggered modulations. The cancellation of the self-noise is accomplished by the use of the conditional ML principle, well known in the context of array processing, as an alternative to the unconditional ML, typically applied in the communications field. The paper also provides a new Cramer Rao bound (CRB) which is more accurate than the so-called modified CRB (MCRB) extensively applied to synchronization problems. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Telecommunication -Mobile radio -Continuous phase modulation -Frequency estimation -Maximum likelihood estimation -Noise -Statistical analysis -Signal detection -Synchronisation -Telecomunicació |
Rights:
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Document type:
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Article - Published version Conference Object |
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