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Volumn , Issue , 2003, Pages 492-496

Optimal adaptive waveform selection for target detection

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC PROGRAMMING; RADAR; STOCHASTIC SYSTEMS;

EID: 84944893560     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RADAR.2003.1278791     Document Type: Conference Paper
Times cited : (46)

References (19)
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    • (1994) Proc. of SPIE Conference on Signai and Data Processing of Small Targets , vol.2235 , pp. 303-316
    • Blair, W.D.1
  • 4
    • 0008084202 scopus 로고
    • Optimal policies for solving partially observed Markov decision processes
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    • Cassandra, A.R.1
  • 6
    • 0019611013 scopus 로고
    • Probability of detecting a Swerling i target on two correlated observations
    • R. A. Dana and D. Moraitis. Probability of detecting a Swerling I target on two correlated observations. IEEE Trans, on Aerospace and Electronic Systems, 17(5):727-730, 1981.
    • (1981) IEEE Trans, on Aerospace and Electronic Systems , vol.17 , Issue.5 , pp. 727-730
    • Dana, R.A.1    Moraitis, D.2
  • 10
    • 0035674892 scopus 로고    scopus 로고
    • Hidden Markov model rmiltiarm bandits: A methodology for beam scheduling in mullitarget tracking
    • V. Krishnamurthy and R. I. Evans. Hidden Markov model rmiltiarm bandits: A methodology for beam scheduling in mullitarget tracking. IEEE Trans, on Signal Processing, 49(12):2893-2908, 2001.
    • (2001) IEEE Trans, on Signal Processing , vol.49 , Issue.12 , pp. 2893-2908
    • Krishnamurthy, V.1    Evans, R.I.2
  • 11
    • 33847165832 scopus 로고
    • The Witness algorithm for solving partially observed Markov decision processes
    • Providence, RI, USA
    • M. l. Littleman. The Witness algorithm for solving partially observed Markov decision processes. Technical Report CS-94-40, Brown University. Providence, RI, USA, 1994.
    • (1994) Technical Report CS-94-40, Brown University
    • Littleman, M.L.1
  • 12
    • 0002679852 scopus 로고
    • A survey of algorithmic methods for partially observed markov decision processes
    • W. S. Lovejoy. A survey of algorithmic methods for partially observed markov decision processes. Annals of Operations Research, 28:47-66, 1991.
    • (1991) Annals of Operations Research , vol.28 , pp. 47-66
    • Lovejoy, W.S.1
  • 13
    • 0019909899 scopus 로고
    • A survey of partially observable markov decision processes: Theory, models and algorithms
    • G. E. Monahan. A survey of partially observable markov decision processes: Theory, models and algorithms. Management Science, 28(3): 1-16, 1982.
    • (1982) Management Science , vol.28 , Issue.3 , pp. 1-16
    • Monahan, G.E.1
  • 14
    • 0036544157 scopus 로고    scopus 로고
    • Tracking considerations in selection of radar waveform for range and range-rate measurements
    • R. Niu, P. Willett, and Y. Bar-Shalom. Tracking considerations in selection of radar waveform for range and range-rate measurements. IEEE Trans, on Aerospace and Electronic Systems, 38(2):467-487, 2002.
    • (2002) IEEE Trans, on Aerospace and Electronic Systems , vol.38 , Issue.2 , pp. 467-487
    • Niu, R.1    Willett, P.2    Bar-Shalom, Y.3
  • 17
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    • Scheduling of track updates in phased array radars
    • Ann Arbor, Michigan, USA
    • D. Strömberg. Scheduling of track updates in phased array radars. In Proc. of 1996 National Radar Conference, pages 214-219, Ann Arbor, Michigan, USA, 1996.
    • (1996) Proc. of 1996 National Radar Conference , pp. 214-219
    • Strömberg, D.1
  • 18
    • 0029211370 scopus 로고
    • Phased array parameter optimization for low-altitude targets
    • Washington, D.C., USA
    • G. V. Trunk, J. D. Wilson, and P. K. Hughes, II. Phased array parameter optimization for low-altitude targets. In Proc. of IEEE Radar Conference, pages 196-200, Washington, D.C., USA, 1995.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.