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Volumn , Issue , 2009, Pages 444-448

Particle swarm optimization based tuning of unscented kalman filter for bearings only tracking

Author keywords

Noise covariances; Particle swarm optimization; Tracking; Tuning; Unscented kalman filter

Indexed keywords

ADAPTIVE FILTERING ALGORITHMS; BEARINGS-ONLY TRACKING; HIGH DIMENSIONALITY; NOISE COVARIANCE; NOISE COVARIANCES; NON-LINEAR; PROCESS DATA; PROCESS NOISE; RELIABLE ESTIMATES; SIMULATION RESULT; SYSTEM MODELS; TARGET STATE; UNSCENTED KALMAN FILTER;

EID: 73849092776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ARTCom.2009.109     Document Type: Conference Paper
Times cited : (9)

References (11)
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  • 4
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    • March
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  • 5
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    • A ° kesson, John Bagterp Jørgensen, Niels Kjølstad Poulsen, A generalized auto covariance least-squares method for Kalman filter tuning
    • Bernt M. A ° kesson, John Bagterp Jørgensen, Niels Kjølstad Poulsen, A generalized auto covariance least-squares method for Kalman filter tuning, A journal of process control , Elsevier 2007.
    • A journal of process control , Elsevier 2007
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  • 8
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    • B.J. Odelson, M.R. Rajamani, J.B. Rawlings, A new autocovariance least-squares method for estimating noise covariances, varying stochastic process," Automatica, vol. 10, pp. 267-275, 1974 42 (2) (2006) 303-308.
  • 9
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  • 10
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    • Oleksiy V.Korniyenko, Mohammad S.Sharawi, Oklahand University ,Neural Network based approach for tuning kalman filter, 2005 IEEE International Conference on Issue , 22-25 May 2005 Page(s): 1-5.
    • Oleksiy V.Korniyenko, Mohammad S.Sharawi, Oklahand University ,"Neural Network based approach for tuning kalman filter", 2005 IEEE International Conference on Volume , Issue , 22-25 May 2005 Page(s): 1-5.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.