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Volumn , Issue , 2007, Pages

Gaussian particle implementations of probability hypothesis density filters

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; KALMAN FILTERS; MONTE CARLO METHODS; PROBABILITY; PROBABILITY DENSITY FUNCTION;

EID: 34548800807     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2007.353049     Document Type: Conference Paper
Times cited : (65)

References (27)
  • 1
    • 85024429815 scopus 로고    scopus 로고
    • R. E. Kalman. A new approach to linear filtering and prediction problems. Transactions of the ASME-Journal of Basic Engineering, 82(Series D):35-45, 1960.
    • R. E. Kalman. A new approach to linear filtering and prediction problems. Transactions of the ASME-Journal of Basic Engineering, 82(Series D):35-45, 1960.
  • 2
    • 0001332237 scopus 로고
    • Stochastic processes and filtering theory
    • A. Jazwinski. Stochastic processes and filtering theory. Academic Press, 1970.
    • (1970) Academic Press
    • Jazwinski, A.1
  • 3
    • 34548720703 scopus 로고    scopus 로고
    • S. Julier and J. Uhlmann. A new extension of the kalman filter to nonlinear systems. In Int. Symp. Aerospace/Defense Sensing, Simul. and Controls, Orlando, FL., 1997.
    • S. Julier and J. Uhlmann. A new extension of the kalman filter to nonlinear systems. In Int. Symp. Aerospace/Defense Sensing, Simul. and Controls, Orlando, FL., 1997.
  • 7
    • 1642401353 scopus 로고    scopus 로고
    • Multitarget Bayes filtering via first-order multitarget moments
    • R. Mahler. Multitarget Bayes filtering via first-order multitarget moments. IEEE Transactions on Aerospace and Electronic Systems, 39, No.4:1152-1178, 2003.
    • (2003) IEEE Transactions on Aerospace and Electronic Systems , vol.39 , Issue.4 , pp. 1152-1178
    • Mahler, R.1
  • 8
    • 27544460134 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods for Multi-target Filtering with Random Finite Sets
    • B. Vo, S. Singh, and A. Doucet. Sequential Monte Carlo methods for Multi-target Filtering with Random Finite Sets. IEEE Trans. Aerospace Elec Systems, 41, No.4:1224-1245, 2005.
    • (2005) IEEE Trans. Aerospace Elec Systems , vol.41 , Issue.4 , pp. 1224-1245
    • Vo, B.1    Singh, S.2    Doucet, A.3
  • 9
    • 34548774282 scopus 로고    scopus 로고
    • Multi-target State Estimation and Track Continuity for the Particle PHD Filter
    • D. E. Clark and J. Bell. Multi-target State Estimation and Track Continuity for the Particle PHD Filter. IEEE Transactions on Aerospace and Electronic Systems. Vol 43 No 5., 2007.
    • (2007) IEEE Transactions on Aerospace and Electronic Systems , vol.43 , Issue.5
    • Clark, D.E.1    Bell, J.2
  • 10
    • 33747343251 scopus 로고    scopus 로고
    • The Gaussian Mixture Probability Hypothesis Density Filter
    • B. Vo and W. K. Ma. The Gaussian Mixture Probability Hypothesis Density Filter. IEEE Transactions on Signal Processing, Vol 54 No 11, pages 4091-4104, 2006.
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.11 , pp. 4091-4104
    • Vo, B.1    Ma, W.K.2
  • 15
    • 34548715558 scopus 로고    scopus 로고
    • PHD Filters of Higher Order in Target Number
    • R. Mahler. PHD Filters of Higher Order in Target Number, submitted to IEEE Trans. AES., 2005.
    • (2005) submitted to IEEE Trans. AES
    • Mahler, R.1
  • 16
    • 34548710012 scopus 로고    scopus 로고
    • D.L. Hall and J. Llinas, editors, chapter 7. CRC Press
    • D.L. Hall and J. Llinas, editors. Handbook of Multisensor Data Fusion, chapter 7. CRC Press, 2001.
    • (2001) Handbook of Multisensor Data Fusion
  • 17
    • 33750414652 scopus 로고    scopus 로고
    • Technical aspects of the Probability Hypothesis Density recursion
    • Tech. Rep. TR05-006 EEE Dept. The University of Melbourne, Australia
    • B. Vo and S. Singh. Technical aspects of the Probability Hypothesis Density recursion. Tech. Rep. TR05-006 EEE Dept. The University of Melbourne, Australia, 2005.
    • (2005)
    • Vo, B.1    Singh, S.2
  • 19
    • 1642401353 scopus 로고    scopus 로고
    • Multi-target Bayes filtering via first-order multi-target moments
    • R. Mahler. Multi-target Bayes filtering via first-order multi-target moments. IEEE Trans. AES, 39(4): 1152-1178, 2003.
    • (2003) IEEE Trans. AES , vol.39 , Issue.4 , pp. 1152-1178
    • Mahler, R.1
  • 23
  • 24
    • 0015399967 scopus 로고
    • Finite-dimensional sensor orbits and optimal non-linear filtering
    • J. T.-H. Lo. Finite-dimensional sensor orbits and optimal non-linear filtering. IEEE Trans. IT, IT-18(5):583-588, 1972.
    • (1972) IEEE Trans. IT , vol.IT-18 , Issue.5 , pp. 583-588
    • Lo, J.T.-H.1
  • 25
    • 33745684755 scopus 로고    scopus 로고
    • Convergence Results for the Particle PHD Filter
    • D. E. Clark and J. Bell. Convergence Results for the Particle PHD Filter. IEEE Transactions on Signal Processing. Vol 54 No 7, pages 2652-2661, 2006.
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.7 , pp. 2652-2661
    • Clark, D.E.1    Bell, J.2
  • 27
    • 84916593381 scopus 로고
    • A Bayesian approach to problems in stochastic estimation and control
    • Y. C. Ho and R. C. K. Lee. A Bayesian approach to problems in stochastic estimation and control. IEEE Trans. AC, AC-9:333-339, 1964.
    • (1964) IEEE Trans. AC , vol.AC-9 , pp. 333-339
    • Ho, Y.C.1    Lee, R.C.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.