内容简介
Thisbookintroducesreaderstothefundamentalsofestimationanddynamicalsystemtheory,andtheirapplicationsinthefieldofmulti-sourceinformationfusedautonomousnavigationforspacecraft.Thecontentisdividedintotwoparts:theoryandapplication.Thetheorypart(PartI)coversthemathematicalbackgroundofnavigationalgorithmdesign,includingparameterandstateestimatemethods,linearfusion,centralizedanddistributedfusion,observabilityanalysis,MonteCarlotechnology,andlinearcovarianceanalysis.Inturn,theapplicationpart(PartII)focusesonautonomousnavigationalgorithmdesignfordifferentphasesofdeepspacemissions,whichinvolvesmultiplesensors,suchasinertialmeasurementunits,opticalimagesensors,andpulsardetectors.Byconcentratingontherelationshipsbetweenestimationtheoryandautonomousnavigationsystemsforspacecraft,thebookbridgesthegapbetweentheoryandpractice.Awealthofhelpfulformulasandvarioustypesofestimatorsarealsoincludedtohelpreadersgraspbasicestimationconceptsandofferthemareadyreferenceguide.