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Particle filter based on iterated importance density function and parallel resampling 被引量:1
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作者 武勇 王俊 曹运合 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第9期3427-3439,共13页
The design, analysis and parallel implementation of particle filter(PF) were investigated. Firstly, to tackle the particle degeneracy problem in the PF, an iterated importance density function(IIDF) was proposed, wher... The design, analysis and parallel implementation of particle filter(PF) were investigated. Firstly, to tackle the particle degeneracy problem in the PF, an iterated importance density function(IIDF) was proposed, where a new term associating with the current measurement information(CMI) was introduced into the expression of the sampled particles. Through the repeated use of the least squares estimate, the CMI can be integrated into the sampling stage in an iterative manner, conducing to the greatly improved sampling quality. By running the IIDF, an iterated PF(IPF) can be obtained. Subsequently, a parallel resampling(PR) was proposed for the purpose of parallel implementation of IPF, whose main idea was the same as systematic resampling(SR) but performed differently. The PR directly used the integral part of the product of the particle weight and particle number as the number of times that a particle was replicated, and it simultaneously eliminated the particles with the smallest weights, which are the two key differences from the SR. The detailed implementation procedures on the graphics processing unit of IPF based on the PR were presented at last. The performance of the IPF, PR and their parallel implementations are illustrated via one-dimensional numerical simulation and practical application of passive radar target tracking. 展开更多
关键词 particle filter iterated importance density function least squares estimate parallel resampling graphics processing unit
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Study on Visualization Simulation of Soybean Leaf Based on IFS
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作者 XING Lichao SU Zhongbin ZHENG Pin JING Liqun 《Journal of Northeast Agricultural University(English Edition)》 CAS 2008年第4期38-40,共3页
This article applied the self-similarity of fractal theory to the soybean leaf with the aid of powerful iterative computation ability of computer,analyzed the generation principle of IFS code in the iterated function ... This article applied the self-similarity of fractal theory to the soybean leaf with the aid of powerful iterative computation ability of computer,analyzed the generation principle of IFS code in the iterated function system,calculated the IFS code of the simulation soybean leaf.It basically realized the visualization simulation of soybean leaf and laid a foundation for the visualization simulation of the whole soybean plant. 展开更多
关键词 iterated function system(IFS) IFS code simulation of soybean leaf
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