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Volumn 95, Issue , 2009, Pages 267-282

Sensor selection for target tracking in sensor networks

Author keywords

[No Author keywords available]

Indexed keywords

CLUTTER (INFORMATION THEORY); CRAMER-RAO BOUNDS; TARGET TRACKING;

EID: 70349535784     PISSN: 10704698     EISSN: 15598985     Source Type: Journal    
DOI: 10.2528/PIER09070802     Document Type: Article
Times cited : (24)

References (16)
  • 3
    • 85032751029 scopus 로고    scopus 로고
    • Information-driven dynamic sensor collaboration
    • Zhao, F., J. Shin, and J. Reich, Information-driven dynamic sensor collaboration, IEEE Signal Processing Magazine, Vol. 19, No. 2, 61-72, May 2002.
    • (2002) IEEE Signal Processing Magazine , vol.19 , Issue.2 , pp. 61-72
    • Zhao, F.1    Shin, J.2    Reich, J.3
  • 4
    • 4344633231 scopus 로고    scopus 로고
    • Dynamic sensor collaboration via sequential Monte Carlo
    • Guo, D. and X. Wang, Dynamic sensor collaboration via sequential Monte Carlo, IEEE Journal on Selected Areas in Communications, Vol. 22, No. 6, 1037-1047, Aug. 2004.
    • (2004) IEEE Journal on Selected Areas in Communications , vol.22 , Issue.6 , pp. 1037-1047
    • Guo, D.1    Wang, X.2
  • 5
    • 33750058895 scopus 로고    scopus 로고
    • The sensor selection problem for bounded uncertainty sensing models
    • Isler, V. and R. Bajcsy, The sensor selection problem for bounded uncertainty sensing models, IEEE Trans. Automation Science and Engineering, Vol. 3, No. 4, 372-380, Oct. 2006.
    • (2006) IEEE Trans. Automation Science and Engineering , vol.3 , Issue.4 , pp. 372-380
    • Isler, V.1    Bajcsy, R.2
  • 7
    • 4644280780 scopus 로고    scopus 로고
    • The use of particle filtering with the unscented transform to schedule sensors
    • Montreal, QC, Canada
    • Chhetri, A. S., D. Morrell, and A. Papandreou-Suppappola, The use of particle filtering with the unscented transform to schedule sensors, Proc. ICASSP-04, Vol. 2, 301-304, Montreal, QC, Canada, May 2004.
    • (2004) Proc. ICASSP-04 , vol.2 , pp. 301-304
    • Chhetri, A.S.1    Morrell, D.2    Papandreou-Suppappola, A.3
  • 8
    • 46749085966 scopus 로고    scopus 로고
    • Sensor selection and power allocation for distributed estimation in sensor networks: Beyond the star topology
    • Thatte, G. and U. Mitra, Sensor selection and power allocation for distributed estimation in sensor networks: Beyond the star topology, IEEE Trans. Signal Processing, Vol. 56, No. 7, 2649-2661, Jul. 2008.
    • (2008) IEEE Trans. Signal Processing , vol.56 , Issue.7 , pp. 2649-2661
    • Thatte, G.1    Mitra, U.2
  • 11
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • Arulampalam, M. S., S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Trans. Signal Processing, Vol. 50, No. 2, 174-188, Feb. 2002.
    • (2002) IEEE Trans. Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 12
    • 0036475725 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods for multiple target tracking and data fusion
    • Hue, C., J. Cadre, and P. Perez, Sequential Monte Carlo methods for multiple target tracking and data fusion, IEEE Trans. Signal Processing, Vol. 50, No. 2, 309-325, Feb. 2002.
    • (2002) IEEE Trans. Signal Processing , vol.50 , Issue.2 , pp. 309-325
    • Hue, C.1    Cadre, J.2    Perez, P.3
  • 14
    • 0032071054 scopus 로고    scopus 로고
    • Posterior Cramer-Rao bounds for discrete-time nonlinear filtering
    • Tichavsky, P., C. H. Muravchik, and A. Nehorai, Posterior Cramer-Rao bounds for discrete-time nonlinear filtering, IEEE Trans. Signal Processing, Vol. 46, No. 5, 1386-1396, May 1998.
    • (1998) IEEE Trans. Signal Processing , vol.46 , Issue.5 , pp. 1386-1396
    • Tichavsky, P.1    Muravchik, C.H.2    Nehorai, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.