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Particle Filter Target Tracking Algorithm Based on MCMC Iteration Cubature
Song Gao,Yenan Liu,Chaobo Chen 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.9
In view of the problem of particle degradation and tracking accuracy in the standard particle filter tracking target algorithm, a new improved particle filter algorithm called Iterated Cubature Kalman Particle Filter (ICKPF) is proposed in this paper. The new ICKPF algorithm is based on the Markov Chain Monte Carlo (MCMC), and the cubature rule based on numerical integration method is used to calculate the mean and covariance, which generates the proposal distribution for the particle filter. The current measurements are integrated into the proposal distribution. Therefore, degree of approximation to the system posterior density is improved. Simulation results show that the estimation error of the ICKPF-MCMC algorithm is much better than other algorithms.
Peng Zhao,우재완,박용성,Yenan Song,Fushi Zhang 한국고분자학회 2010 Macromolecular Research Vol.18 No.5
Novel phthalocyanine sulfonate (H2PPcSx) was synthesized from the sulfonation of a steric polymeric phthalocyanine and investigated as a photocatalyst in a homogenous system. The molecular weight of H2PPcSx was characterized as 9213-11692 by MALDI-TOF MS, classified as an oligomer with a 14-18 degree of polymerization. The electronic spectrum indicated a less aggregative tendency of H2PPCSx than the usual monomeric phthalocyanine photocatalyst. Efficient photodegradation of butyl Rhodamine B (bu Rh B) catalyzed by H2PPcSx was achieved in a homogenous solution; the spectral character indicated that decomposition occurred on the benzene ring in the Rh B molecular. For a 50 mg L-1 bu Rh B solution, the percentage degradation reached 95% in 4 h using 100 mg H2PPcSx as a photocatalyst. A mechanism involving the participation of both singlet oxygen and radicals was established for the photodegradation.