This chapter focuses on the design of filtering algorithms for integrated navigation systems. It gives a brief overview of main approaches and methods used to solve estimation and filtering problems. The methods of estimation and filtering theory are extensively used in applied problems of measurement data processing. The chapter describes the statements of the filtering problems solved in integrated navigation systems. It details these statements as applied to the most popular Inertial Navigation Systems (INS) integrated with global Satellite Navigation Systems (SNS), the so called INS/SNS. The chapter explains an example of designing filtering and smoothing algorithms as applied to the problems of gravimeter and satellite data processing. One of the main trends in the development of modern navigation systems is the integration of data from an INS and SNS. It shows how the problem statements formulated can be applied to the processing of data from inertial and satellite systems.


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    Titel :

    Optimal and Suboptimal Filtering in Integrated Navigation Systems


    Beteiligte:
    Nebylov, Alexander V. (Herausgeber:in) / Watson, Joseph (Herausgeber:in) / Stepanov, Oleg A. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2016-06-17


    Format / Umfang :

    55 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch