%0 Journal Article
%T AdjustmentModelandColoredNoiseReductionofContinuousObservationSystem
%A ѦÊ÷Ç¿
%A ÑîԪϲ
%J ²â»æѧ±¨
%P 360-365
%D 2014
%X Theaffectioncausedbythecolorednoisesshouldbetakenintoaccounttotheadjustmentmodel.Asusefulsignals,thesecolorednoisesshouldbeaccuratelyidentifiedandextractedbyFourieranalysis.Acontinuousadjustmentmodelisintroducedwithrespecttothecolorednoises,andthenitcanbegeneralizedfromthefinitespacetotheinfinitespacesocalledasHilbertspace.Thisextensionistoprovideanewtechniquetoperformthecontinuousobservationalsystemdesign,Fourieranalysisaswellastheparameterestimation.ItshowsthattheGramer¡¯sdeterminantprovidesmaximizationcriteriainthesystemoptimizationdesignaswellasaruleindiagnosingtheadjustmentmodel.Relatedwiththedefinitionoftheintegral,theleastsquaressolutionofthecontinuousadjustmentmodelbecomesthelimitofthetraditionalleastsquaressolutioninfinitespace.Moreover,theinfluencecausedbythecolorednoisesissystematic,butitcanbeeliminatedorcompensatedbyoptimallydesigningtheobservationalsystem.
%K adjustment')"
%K href="#">vertical-align
%K middle">adjustment
%K continuous
%K observation
%K least
%K squares
%K colored
%K noise
%K Hilbert
%K space
%K Abstract
%K The
%K affection
%K caused
%K by
%K the
%K colored
%K noises
%K should
%K be
%K taken
%K into
%K account
%K to
%K the
%K adjustment
%K model.
%K As
%K useful
%K signals
%K these
%K colored
%K noises
%K should
%K be
%K accurately
%K identified
%K and
%K extracted
%K by
%K Fourier
%K analysis.
%K A
%K continuous
%K adjustment
%K model
%K is
%K introduced
%K with
%K respect
%K to
%K the
%K colored
%K noises
%K and
%K then
%K it
%K can
%K be
%K generalized
%K from
%K the
%K finite
%K space
%K to
%K the
%K infinite
%K space
%K so
%K called
%K as
%K Hilbert
%K space.
%K This
%K extension
%K is
%K to
%K provide
%K a
%K new
%K technique
%K to
%K perform
%K the
%K continuous
%K observational
%K system
%K design
%K Fourier
%K analysis
%K as
%K well
%K as
%K the
%K parameter
%K estimation.
%K It
%K shows
%K that
%K the
%K Gramer¡¯s
%K determinant
%K provides
%K maximization
%K criteria
%K in
%K the
%K system
%K optimization
%K design
%K as
%K well
%K as
%K a
%K rule
%K in
%K diagnosing
%K the
%K adjustment
%K model.
%K Related
%K with
%K the
%K definition
%K of
%K the
%K integral
%K the
%K least
%K squares
%K solution
%K of
%K the
%K continuous
%K adjustment
%K model
%K becomes
%K the
%K limit
%K of
%K the
%K traditional
%K least
%K squares
%K solution
%K in
%K finite
%K space.
%K Moreover
%K the
%K influence
%K caused
%K by
%K the
%K colored
%K noises
%K is
%K systematic
%K but
%K it
%K can
%K be
%K eliminated
%K or
%K compensated
%K by
%K optimally
%K designing
%K the
%K observational
%K system.
%U http://xb.sinomaps.com:8081/Jwk_chxb/CN/abstract/abstract6415.shtml