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Volumn 4, Issue 10, 2009, Pages 548-554

Intelligent fading memory for high maneuvering target tracking

Author keywords

Fading memory; Fuzzy logic; High maneuver target tracking; Modeling uncertainties; Modified Input Estimation (MIE)

Indexed keywords


EID: 70350058710     PISSN: 19921950     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (28)

References (16)
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  • 2
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    • High Maneuvering Target Tracking Using a Novel Hybrid Kalman filter-Fuzzy Logic Architecture
    • Accepted for Publication
    • Bahari MH, Karsaz A, Pariz N (2009 Accepted for Publication). High Maneuvering Target Tracking Using a Novel Hybrid Kalman filter-Fuzzy Logic Architecture. Int. J. Innovat. Comput. Inf. Control.
    • (2009) Int. J. Innovat. Comput. Inf. Control.
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  • 3
    • 70350054135 scopus 로고    scopus 로고
    • High Maneuvering Target Tracking Using an Input Estimation Technique Associated with Fuzzy Forgetting Factor
    • Accepted for Publication
    • Bahari MH, Pariz N (2009). High Maneuvering Target Tracking Using an Input Estimation Technique Associated With Fuzzy Forgetting Factor. Sci. Res. Essays, Accepted for Publication.
    • (2009) Sci. Res. Essays
    • Bahari, M.H.1    Pariz, N.2
  • 4
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    • Radar tracking for air surveillance in a stressful environment using a fuzzy-gain filter
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  • 6
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  • 7
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    • General two-stage kalman filters
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    • Chen, F.C.1
  • 8
    • 0028195260 scopus 로고
    • Application of neural networks in target tracking data fusion
    • Chin L (1994). Application of neural networks in target tracking data fu- sion. IEEE Trans Aerosp. Electron Syst., 30:281-287.
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  • 11
    • 57649213823 scopus 로고    scopus 로고
    • A modified input estimation technique for tracking maneuvering targets
    • Khaloozadeh H, Karsaz A (2009). A Modified Input Estimation Technique for Tracking Maneuvering Targets. IET Proc. Radar, Sonar Navig. 3(1): 30-41.
    • (2009) IET Proc. Radar, Sonar Navig. , vol.3 , Issue.1 , pp. 30-41
    • Khaloozadeh, H.1    Karsaz, A.2
  • 12
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    • Gaussian membership functions are most adequate in representing uncertainty in measurements
    • North American Fuzzy Information Processing Society Conference, Puerto Vallarta
    • Kreinovich V, Quintana C, Reznik L (1992). Gaussian membership functions are most adequate in representing uncertainty in measurements. Proceedings of NAFIPS'92: North American Fuzzy Information Processing Society Conference, Puerto Vallarta.
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  • 14
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    • Generalized input-estimation technique for tracking maneuvering targets
    • Lee H, Tahk MJ (1999). Generalized Input-Estimation Technique for Tracking Maneuvering Targets, IEEE Trans. Aerosp. Elec. Syst. 35(4):1388-1402.
    • (1999) IEEE Trans. Aerosp. Elec. Syst. , vol.35 , Issue.4 , pp. 1388-1402
    • Lee, H.1    Tahk, M.J.2
  • 15
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    • John Wiley & Sons, Inc., Hoboken, New Jersey
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.