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Volumn 37, Issue 1, 2010, Pages 426-433

Improvement of Kalman filters for WLAN based indoor tracking

Author keywords

Indoor positioning; Indoor tracking; Kalman filter; Location Based Service; Wireless Local Area Network

Indexed keywords

INDOOR POSITIONING; INDOOR TRACKING; LOCATION BASED SERVICE; LOCATION-BASED SERVICES; PARAMETER VALUES; POSITIONING METHODS; WLAN (WIRELESS LOCAL AREA NETWORK);

EID: 70349442311     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.05.047     Document Type: Article
Times cited : (66)

References (14)
  • 1
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    • RADAR: An in-building RF-based user location and tracking system
    • Bahl, P., & Padmanabhan, V. (2000). RADAR: An in-building RF-based user location and tracking system. In Proceedings of INFOCOM (pp. 775-784).
    • (2000) Proceedings of INFOCOM , pp. 775-784
    • Bahl, P.1    Padmanabhan, V.2
  • 2
    • 0031248512 scopus 로고    scopus 로고
    • A new location technique for the active office
    • Harter A., and Hopper A. A new location technique for the active office. IEEE Personal Communications 4 5 (1997) 43-47
    • (1997) IEEE Personal Communications , vol.4 , Issue.5 , pp. 43-47
    • Harter, A.1    Hopper, A.2
  • 11
    • 36148992254 scopus 로고    scopus 로고
    • Introducing a decision tree-based indoor positioning technique
    • Yim J. Introducing a decision tree-based indoor positioning technique. Expert Systems with Applications 34 2 (2008) 1296-1302
    • (2008) Expert Systems with Applications , vol.34 , Issue.2 , pp. 1296-1302
    • Yim, J.1
  • 12
    • 33646128480 scopus 로고    scopus 로고
    • Timed net with choice probability and its minimum cycle time - the case of location based service
    • Yim J., Joo J., and Lee Y. Timed net with choice probability and its minimum cycle time - the case of location based service. Expert Systems With Applications 31 2 (2006) 221-230
    • (2006) Expert Systems With Applications , vol.31 , Issue.2 , pp. 221-230
    • Yim, J.1    Joo, J.2    Lee, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.