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    Caracterización de la compresión en LNAs para aplicaciones de astronomía

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    Caracterización de la ... (610.3Kb)
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    URI: http://hdl.handle.net/10902/2754
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    Author
    Casas Reinares, Francisco Javier; Pascual Gutiérrez, Juan PabloAutoridad Unican; Portilla Rubín, Joaquín; Fuente Rodríguez, Luisa María de laAutoridad Unican; Aja Abelán, BeatrizAutoridad Unican; Artal Latorre, EduardoAutoridad Unican
    Date
    2009-09
    Derechos
    © 2009 URSI España
    Publicado en
    URSI 2009, XXIV Simposium Nacional de la Unión Científica Internacional de Radio, Santander
    Abstract:
    In this work, system level modelling and realistic simulation and measurement results of a 31 GHz Back-End Module (BEM) Low-Noise Amplifier (LNA), designed for the QUIJOTE CMB (Q U I JOint TEnerife CMB) experiment radiometer, are reported. The signals received by radiometers can be identified as continuous spectre gaussian white noise signals. This makes necessary time-domain simulation techniques and appropriate models for the realistic analysis of radiometers behaviour. The measured-based modelling of one BEM´s LNA, its simulation in nominal conditions and the measurement of the nonlinear characteristic by using filtered white noise excitation signals, will be shown. Typically, in the LNAs design process the linearity is not taken into account but, as we will see, in the radiometers case, the nature of Gaussian noise excitation signals makes amplifiers to present higher nonlinearity in their characteristics than when using single tone excitation signals. Therefore, in order to analyze the suitability of the LNAs nominal operation, linearity figures of merit have to be obtained, but using realistic excitation signals. In this paper, the LNAs nonlinear characteristics with gaussian noise excitation signals have been obtained.
    Collections to which it belong
    • D12 Congresos [542]
    • D52 Congresos [36]

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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contact Us | Send Feedback
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 3.0 España