Distributed fusion algorithm based on IMM-PF

Kongzhi yu Juece/Control and Decision

Volumn 23, Issue 7, 2008, Pages 837-840

  Peng, Zhi Zhuan ^a   Feng, Jin Fu ^a   Zhong, Yong Bing ^a   Wu, You Li ^a   Liang, Xiao Long ^a  

^a AIR FORCE ENGINEERING UNIVERSITY   (China)

Author keywords

Distributed fusion; Interacting multiple model; Nonlinear non Gaussian; Particle filter

Indexed keywords

BOOLEAN FUNCTIONS; CELLULAR RADIO SYSTEMS; COMPUTER NETWORKS; CONTROL THEORY; EXTENDED KALMAN FILTERS; NONLINEAR FILTERING; NONLINEAR SYSTEMS; NUCLEAR PHYSICS; SIGNAL FILTERING AND PREDICTION; STATE ESTIMATION; TRELLIS CODES; WAVE FILTERS;

DISTRIBUTED FUSION; INTERACTING MULTIPLE MODEL; NONLINEAR/NON-GAUSSIAN; PARTICLE FILTER;

SENSOR DATA FUSION;

EID: 51149095606     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Li X R, Zhu Y M, Wang J, et al. Optimal linear estimation fusion-Part I: Unified fusion rules[J]. IEEE Trans on Information Theory, 2003,49(9):2192-2208.
2. Ya Xue, Morrell Darryl. Target tracking and data fusion using multiple adaptive fovea sensors[C]. The 6th Int Conf of Information Fusion. Fairborn, 2003:326-333.
3. Brehard T, Cadre J P. Distributed target tracking for nonlinear systems: Application to bearings-only tracking[C]. The 7th Int Conf on Information Fusion.Philadelphia, 2005:77-84.
4. Zhu Y M, Li X R. Best linear unbiased estimation fusion[C]. The 2nd Int Conf on Information Fusion. Sunnyvale, 1999:1054-1061.
5. Arulampalam M S, Maskell S, Gordon N, et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking[J]. IEEE Trans on Signal Processing, 2002,50(2):174-188.
6. Xiong W, He Y, Zhang J. Particle filter method for a centralized multisensor system[J]. Berlin: Springer-Verlag, 2006:64-69.
7. Nguyen T M, Jilkov V P. Comparison of sampling algorithms for multisensor distributed target tracking[C]. The 6th Int Conf on Information Fusion. Queensland, 2003:114-121.
8. Yang N, Tian W, Jin Z. An interacting multiple model particle filter for maneuvering target location [J]. Measurement Science and Technology, 2006,17(6):1307-1311.
9. Deng X L, Xie J Y, Yang Y P. Particle filter based on interacting multiple model[J].J of System Simulation, 2005,17(10):2360-2362.
10. Bugallo M F, Xu Shanshan, Petar M D. Performance comparison of EKF and particle filtering methods for maneuvering targets[J]. Digital Signal Process, 2006,16(10):67-78.
11. Li X R, Zhang S. Optimal linear estimation fusion-Part IV: Optimality and efficiency of distributed fusion[C]. Int Conf on Information Fusion. Montreal, 2001:19-26.
12. Doucet A, Godsill S, Andrieu C. On sequential Monte Carlo sampling methods for Bayesian filtering [J]. Statistics and Computing, 2000,10(3):197-208.
13. Ningzhou Cui, Lang Hong, Layne J R. A comparison of nonlinear filtering approaches with an application to ground target tracking[J]. Signal Processing, 2005,85(9):1469-1492.