A survey of maneuvering target tracking: approximation techniques for nonlinear filtering

2004 ◽  
Author(s):  
Xiao-Rong Li ◽  
Vesselin P. Jilkov
Keyword(s):  
Target Tracking ◽  
Nonlinear Filtering ◽  
Maneuvering Target Tracking ◽  
Approximation Techniques ◽  
Maneuvering Target

scholarly journals Distributed hybrid consensus–based square-root cubature quadrature information filter and its application to maneuvering target tracking

2019 ◽  
Vol 15 (12) ◽  
pp. 155014771989595
Author(s):  
Jun Liu ◽  
Yu Liu ◽  
Kai Dong ◽  
Ziran Ding ◽  
You He ◽  
...  
Keyword(s):  
Target Tracking ◽  
Nonlinear Filtering ◽  
Computational Cost ◽  
Quadrature Rule ◽  
Square Root ◽  
Maneuvering Target Tracking ◽  
Maneuvering Target ◽  
Matrix Operations ◽  
Information Filter ◽  
Update Strategy

To handle nonlinear filtering problems with networked sensors in a distributed manner, a novel distributed hybrid consensus–based square-root cubature quadrature information filter is proposed. The proposed hybrid consensus–based square-root cubature quadrature information filter exploits fifth-order spherical simplex-radial quadrature rule to tackle system nonlinearities and incorporates a novel measurement update strategy into the hybrid consensus filtering framework, which takes the predicted measurement error into account and hence produces more accurate estimates. In addition, the proposed hybrid consensus–based square-root cubature quadrature information filter inherits the complementary positive features of both consensus on information and consensus on measurements methods and avoids sensitive matrix operations such as square-root decompositions and inversion of covariances, which is beneficial for numerical stability. Stability analysis with respect to consensus, convergence, and consistency for the proposed hybrid consensus–based square-root cubature quadrature information filter is also developed. The effectiveness of the proposed hybrid consensus–based square-root cubature quadrature information filter is validated through a maneuvering target tracking scenario. The simulation results show that the proposed hybrid consensus–based square-root cubature quadrature information filter outperforms the existing algorithms at the expense of a slight increase in computational cost.

scholarly journals Maneuvering Target Tracking Algorithm Based on Interacting Multiple Models

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Gannan Yuan ◽  
Wei Zhu ◽  
Wei Wang ◽  
Bo Yin
Keyword(s):  
Target Tracking ◽  
Nonlinear Filtering ◽  
Information Matrix ◽  
Multiple Models ◽  
Quick Response ◽  
Multiple Model ◽  
Maneuvering Target Tracking ◽  
Filtering Algorithm ◽  
Maneuvering Target ◽  
Information Filter

Aiming at improving the accuracy and quick response of the filter in nonlinear maneuvering target tracking problems, the Interacting Multiple Models Cubature Information Filter (IMMCIF) is proposed. In IMMCIF, the Cubature Information Filter (CIF) is brought into Interacting Multiple Model (IMM), which can not only improve the accuracy but also enhance the quick response of the filter. CIF is a multisensor nonlinear filtering algorithm; it evaluates the information vector and information matrix rather than state vector and covariance, which can reduce the error of nonlinear filtering algorithm. IMM disposes all the models simultaneously through Markov Chain, which can enhance the quick response of the filter. Finally, the simulation results show that the proposed filter exhibits fast and smooth switching when disposing different maneuver models; it performs better than the IMMCKF and IMMUKF on tracking accuracy.

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