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Volumn 2004, Issue 15, 2004, Pages 2339-2350

Joint tracking of manoeuvring targets and classification of their manoeuvrability

Author keywords

Classification; Manoeuvring targets; Particle filtering; Tracking

Indexed keywords

ERROR ANALYSIS; ESTIMATION; KALMAN FILTERING; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS;

EID: 11844287685     PISSN: 11108657     EISSN: None     Source Type: Journal    
DOI: 10.1155/S1110865704404223     Document Type: Article
Times cited : (36)

References (14)
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    • Joint target tracking and classification using radar and ESM sensors
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  • 7
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    • A particle filtering approach to FM-band passive radar tracking and automatic target recognition
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    • S. Herman and P. Moulin, "A particle filtering approach to FM-band passive radar tracking and automatic target recognition," in Proc. IEEE Aerospace Conference, vol. 4, pp. 1789-1808, BigSky, Mont, USA, March 2002.
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  • 8
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    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
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  • 9
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    • Radial basis function regression using trans-dimensional sequential Monte Carlo
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  • 11
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    • Stability and uniform approximation of nonlinear filters using the Hilbert metric, and application to particle filters
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  • 12
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    • Convergence of sequential Monte Carlo methods
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  • 13
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    • The PDF projection theorem and the class-specific method
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    • Baggenstoss, P.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.