Particle Estimation Algorithm Using Sh Correlation Coefficient for Nonlinear System State

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Particle Estimation Algorithm Using Sh Correlation Coefficient for Nonlinear System State

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- Particle Estimation Algorithm Using Sh Correlation Coefficient for Nonlinear System State
- Acta Electronica Sinica Vol. 38, Issue 2A, Pages: 165-168(2010)
- 作者机构：
  
  （哈尔滨工业大学自动化测试与控制系，）,黑龙江,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2010
- 稿件说明：
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FONT face, Verdana, LIANG Jun, et al. Particle Estimation Algorithm Using Sh Correlation Coefficient for Nonlinear System State[J]. Acta Electronica Sinica, 2010, 38(2A): 165-168.
DOI：

FONT face, Verdana, LIANG Jun, et al. Particle Estimation Algorithm Using Sh Correlation Coefficient for Nonlinear System State[J]. Acta Electronica Sinica, 2010, 38(2A): 165-168. DOI：

摘要

<FONT face=Verdana>本文提出一种适用于非线性系统状态的粒子估计算法——基于Sh相关系数的粒子估计（PE）算法.该算法主要由预测、更新和平滑组成，利用被估计状态观测值路径和粒子观测值路径之间的Sh相关系数来修正粒子权值.仿真实验结果表明，该算法在状态估计精度上优于序列重要性重采样（SIR）算法、辅助粒子滤波（APF）算法、正则化粒子滤波（RPF）算法、高斯粒子滤波（GPF）算法和高斯混合粒子滤波（GSPF）算法.

Abstract

<FONT face=Verdana>This paper introduces a particle estimation algorithm using Shcorrelation coefficient (PE) for nonlinear system state.It consists ofprediction

update

and smoothing.It modifies the weights of the particles using the Sh correlation coefficient between the observations of the estimated state and the observations of the particles.The simulation results are presented to demonstrate the improved performanc <FONT face=Verdana>e of the SCPF over those known particle filters including the sequential importance resampling algorithm

the auxiliary particle filter

the regularized particle filter

the Gaussian particle filter

and the Gaussian sum particle filter.

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