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Volumn 5429, Issue , 2004, Pages 222-232

Multisensor-multitarget sensor management with target preference

Author keywords

Bayes Filtering; Nonlinear Filtering; Objective Functions; Random Sets; Sensor Management

Indexed keywords

BAYES FILTERING; OBJECTIVE FUNCTIONS; RANDOM SETS; SENSOR MANAGEMENT;

EID: 8844231869     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.543822     Document Type: Conference Paper
Times cited : (12)

References (8)
  • 4
    • 0345153330 scopus 로고    scopus 로고
    • Random set theory for target tracking and identification
    • D.L. Hall and J. Llinas (eds.), CRC Press, Boca Raton FL, Chapter 14
    • R. Mahler (2002) "Random Set Theory for Target Tracking and Identification," in D.L. Hall and J. Llinas (eds.), Handbook of Multisensor Data Fusion, CRC Press, Boca Raton FL, Chapter 14
    • (2002) Handbook of Multisensor Data Fusion
    • Mahler, R.1
  • 5
    • 1442338380 scopus 로고    scopus 로고
    • Statistics 101' for multisensor-multitarget data fusion
    • to appear
    • R. Mahler (2004) "'Statistics 101' for Multisensor-Multitarget Data Fusion," IEEE Aerospace Systems Magazine Tutorials, to appear.
    • (2004) IEEE Aerospace Systems Magazine Tutorials
    • Mahler, R.1
  • 8
    • 27544514586 scopus 로고    scopus 로고
    • Multitarget sensor management of dispersed mobile sensors
    • S. Butenko, R. Murphey, and P. Paralos (eds.), Kluwer, New York
    • R. Mahler, "Multitarget sensor management of dispersed mobile sensors," in S. Butenko, R. Murphey, and P. Paralos (eds.), Theory and Algorithms for Cooperative Systems, Kluwer, New York, 2005.
    • (2003) Theory and Algorithms for Cooperative Systems
    • Mahler, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.