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020 _a9789819771356
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082 0 4 _a006.3
_223
100 1 _aZhao, Donghua.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntelligent Information Processing for Polarization Compass and Inertial Integrated Navigation System
_h[electronic resource] /
_cby Donghua Zhao.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aIX, 123 p. 79 illus., 5 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aNavigation: Science and Technology,
_x2522-0462 ;
_v15
505 0 _aIntroduction -- Orientation Method and System for Atmospheric Polarization Pattern -- Processing technology for Bioinspired polarization compass noise -- Orientation error modeling and compensation technology for Bioinspired polarization compass -- Seamless Combined Orientation Method and System for Bioinspired Polarization Compass/Inertial Navigation -- Summary and Prospect.
520 _aThis book systematically elaborates on the intelligent information processing technology for a bioinspired polarization compass and inertial integrated navigation system. It consists of three parts. Firstly, the research background and significance of intelligent information processing technology for a bioinspired polarization compass are introduced. It analyzes the research status, development trends, and comparisons with foreign countries in the field of orientation methods based on atmospheric polarization patterns. The processing methods of the orientation error for a bioinspired polarization compass and integrated system information processing are also covered. Subsequently, the noise components of a bioinspired polarization compass and the impact of noise on its directional accuracy are discussed. It also introduces the denoising and orientation error compensation technique based on intelligent algorithms such as multi-scale principal component analysis and multi-scale adaptive time-frequency peak filtering. The third part focuses on the application of cubature Kalman filter and their improvement methods in seamless combination orientation systems based on a bioinspired polarization compass. A seamless combination orientation model under discontinuous observation conditions is proposed and a discontinuous observation algorithm based on neural networks is designed.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aWireless communication systems.
650 0 _aMobile communication systems.
650 0 _aSignal processing.
650 0 _aMachine learning.
650 1 4 _aComputational Intelligence.
650 2 4 _aWireless and Mobile Communication.
650 2 4 _aDigital and Analog Signal Processing.
650 2 4 _aMachine Learning.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819771349
776 0 8 _iPrinted edition:
_z9789819771363
776 0 8 _iPrinted edition:
_z9789819771370
830 0 _aNavigation: Science and Technology,
_x2522-0462 ;
_v15
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-7135-6
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
999 _c276874
_d276873