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Volumn , Issue , 2013, Pages 7499-7504

The analysis of localization algorithm of unscented particle filter based on RSS for linear wireless sensor networks

Author keywords

Linear Wireless Sensor Networks; Localization; RSS; Unscented Particle Filter

Indexed keywords

ALGORITHMS; ANCHORS; MOBILE ROBOTS; MONTE CARLO METHODS; ROBOT APPLICATIONS; RSS; SENSOR NODES;

EID: 84890461633     PISSN: 19341768     EISSN: 21612927     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (16)
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  • 5
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    • Záruba, G.V.1    Huber, M.2    Kamangar, F.3    Chlamtac, I.4
  • 8
    • 78649312099 scopus 로고    scopus 로고
    • RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers
    • A. S. Paul and E. A. Wan, "RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers," Selected Topics in Signal Processing, IEEE Journal of, vol. 3, pp. 860-873, 2009.
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    • Paul, A.S.1    Wan, E.A.2
  • 9
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    • W. D. Wang and Q. X. Zhu, "RSS-based Monte Carlo localisation for mobile sensor networks," Communications, IET, vol. 2, pp. 673-681, 2008.
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  • 14
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    • Simultaneous RSS-based Localization and Model Calibration in Wireless Networks with a Mobile Robot
    • J. Vallet, O. Kaltiokallio, M. Myrsky, J. Saarinen and M. Bocca, "Simultaneous RSS-based Localization and Model Calibration in Wireless Networks With a Mobile Robot," Procedia Computer Science, vol. 10, pp. 1106-1113, 2012.
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.