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Volumn 6562, Issue , 2007, Pages

Underwater source localization based on energy measurement with randomly distributed sensor array

Author keywords

Closed form; Diver localization; Energy measurement; Least squares; Underwater

Indexed keywords

ALGORITHMS; ELECTRIC POWER MEASUREMENT; LEAST SQUARES APPROXIMATIONS; MAXIMUM LIKELIHOOD ESTIMATION; SENSOR ARRAYS;

EID: 35948968075     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.719748     Document Type: Conference Paper
Times cited : (6)

References (12)
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  • 4
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  • 5
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  • 6
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    • Energy-based collaborative source localization using acoustic microsensor array
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    • Li, D.1    Hu, Y.-H.2
  • 7
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    • Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks
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    • (2005) IEEE Transactions on Signal Processing , vol.53 , Issue.1 , pp. 44-53
    • Sheng, X.1    Hu, Y.H.2
  • 8
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    • Closed-form least-square source location estimation from range-difference measurements
    • December
    • J. O. Smith and J. S. Abel, "Closed-form least-square source location estimation from range-difference measurements," IEEE Transactions on Acoustics,Speech and Signal Processing ASSP-35, pp. 1661-1669, December 1987.
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    • Smith, J.O.1    Abel, J.S.2
  • 9
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    • An analysis of the total least squares problem
    • December
    • G. H. Golub and C. F. V. Loan, "An analysis of the total least squares problem," SIAM Journal on Numerical Analysis 17, pp. 883-893, December 1980.
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  • 11
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    • Maximum likelihood localization of multiple sources by alternating projection
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  • 12
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    • Maximum likelihood source localization and unknown sensor location estimation for wideband signals in the near-field
    • August
    • J. C. Chen, R. E. Hudson, and K. Yao, ''Maximum likelihood source localization and unknown sensor location estimation for wideband signals in the near-field," IEEE Transactions on Signal Processing 50, pp. 1843-2002, August 2002.
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    • Chen, J.C.1    Hudson, R.E.2    Yao, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.