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001 9910736978903321
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010   $a981-19-9815-9
024 7 $a10.1007/978-981-19-9815-7
035   $a(MiAaPQ)EBC30673847
035   $a(Au-PeEL)EBL30673847
035   $a(DE-He213)978-981-19-9815-7
035   $a(PPN)272270431
035   $a(CKB)27906762700041
035   $a(EXLCZ)9927906762700041
100   $a20230802d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTarget Tracking with Random Finite Sets /$fby Weihua Wu, Hemin Sun, Mao Zheng, Weiping Huang
205   $a1st ed. 2023.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023.
215   $a1 online resource (449 pages)
311 08$aPrint version: Wu, Weihua Target Tracking with Random Finite Sets Singapore : Springer Singapore Pte. Limited,c2023 9789811998140 
327   $aIntroduction -- Single Target Tracking Algorithms -- Foundation of the Random Finite Set -- The Probability Hypothesis Density Filter -- The Cardinalized Probability Hypothesis Density Filter -- The Multi-Bernoulli Filter -- Labeled RFS-Based Filters -- Maneuvering Target Tracking -- Target Tracking for Doppler Radars -- Track-Before-Detect for Dim Targets -- Target Tracking With Non-Standard Measurements -- Target Tracking for Multiple Distributed Sensors -- Appendix.
330   $aThis book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. This is achieved by providing in-depth study on a number of major topics such as the probability hypothesis density (PHD), cardinalized PHD, multi-Bernoulli (MB), labeled MB (LMB), d-generalized LMB (d-GLMB), marginalized d-GLMB, together with their Gaussian mixture and sequential Monte Carlo implementations. Five extended applications are covered, which are maneuvering target tracking, target tracking for Doppler radars, track-before-detect for dim targets, target tracking with non-standard measurements, and target tracking with multiple distributed sensors. The comprehensive and systematic summarization in target tracking with RFSs is one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in target tracking with RFSs. The book benefits researchers, engineers, and graduate students in the fields of random finite sets, target tracking, sensor fusion/data fusion/information fusion, etc.
606   $aSignal processing
606   $aAutomatic control
606   $aProbabilities
606   $aDigital and Analog Signal Processing
606   $aControl and Systems Theory
606   $aProbability Theory
615  0$aSignal processing.
615  0$aAutomatic control.
615  0$aProbabilities.
615 14$aDigital and Analog Signal Processing.
615 24$aControl and Systems Theory.
615 24$aProbability Theory.
676   $a621.3848
700   $aWu$b Weihua$01381875
701   $aSun$b Hemin$01381876
701   $aZheng$b Mao$01381877
701   $aHuang$b Weiping$01381878
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910736978903321
996   $aTarget Tracking with Random Finite Sets$93424721
997   $aUNINA