Comparison between nonlinear filtering techniques for spiraling ballistic missile state estimation

IEEE Transactions on Aerospace and Electronic Systems

Volumn 48, Issue 1, 2012, Pages 313-328

  Kim, Jinwhan ^a   Vaddi, S S ^b   Menon, P K ^b   Ohlmeyer, E J ^c  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b OPTIMAL SYNTHESIS INC   (United States)

^c Aero Science Applications   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION PROBLEM; MEASUREMENT EQUATIONS; NON-LINEAR FILTERING TECHNIQUES; PARTICLE FILTER; SENSOR NOISE; STRONG NONLINEARITY; SYSTEM DYNAMICS; TARGET STATE; UNSCENTED KALMAN FILTER;

BALLISTICS; ESTIMATION; KALMAN FILTERS; NONLINEAR FILTERING; STATE ESTIMATION;

BALLISTIC MISSILES;

EID: 84862926479     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2012.6129638     Document Type: Article

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