A Unified Approach to Nonlinear Filtering by Statistical Equivalent Linearization
统计等效线性化非线性滤波的统一方法
基本信息
- 批准号:24656264
- 负责人:
- 金额:$ 1.91万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Challenging Exploratory Research
- 财政年份:2012
- 资助国家:日本
- 起止时间:2012-04-01 至 2014-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
From the point of view of statistical equivalent linearization, we analyze algorithms of the equivalent linealization Kalman filter (EqKF), the extended Kalman filter (EKF), the Gaussian filter (GF) and the unscented Kalman filter (UKF). For a cubic sensor problem, we show that EqKF is close to GF, and UKF is in-between EqKF and GF, but the EKF is quite different from other filters. Also, with the aim to GPS applications, a new Gaussian sum equivalent linearization filter is derived by applying the Gauss-Hermite integral formula for evaluating the conditional expectations, under the assumption that the conditional probability density function of the state is a Gaussian sum. Moreover, we obtain two continuous-discrete (CD) filters, i.e. CD-EqKF and CD-GF, showing that both filters have the same time update equations, and a difference is in the observation update equations. Heun scheme-based simulations show that CD-EqKF and CD-GF are superior to the classical CD-EKF.
从统计等价线性化的角度,分析了等效线性化卡尔曼滤波(EqKF)、扩展卡尔曼滤波(EKF)、高斯滤波(GF)和无迹卡尔曼滤波(UKF)算法。对于立方传感器问题,我们证明了EqKF接近于GF,而UKF介于EqKF和GF之间,但EKF与其他滤波器有很大的不同。此外,针对GPS应用,在假设状态的条件概率密度函数为高斯和的假设下,应用计算条件期望的Gauss-Hermite积分公式,导出了一种新的高斯和等价线性化滤波器。此外,我们还得到了两个连续-离散(CD)滤波器,即CD-EqKF和CD-GF,表明这两个滤波器具有相同的时间更新方程,而不同之处在于观测更新方程。基于Heun方案的仿真结果表明,CD-EqKF和CD-GF优于经典的CD-EKF。
项目成果
期刊论文数量(24)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
RTK-VPPP algorithms in urban canyons
城市峡谷中的 RTK-VPPP 算法
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:S. Sugimoto;Y. Suzuki;Y. Kubo
- 通讯作者:Y. Kubo
Carrier Phase Based GNSS Positioning with Ambiguity Resolution Using Gaussian Sum Filter
- DOI:10.5687/sss.2013.80
- 发表时间:2013-05
- 期刊:
- 影响因子:0
- 作者:Y. Kubo;K. Ohta;Y. Ikebuchi;S. Sugimoto
- 通讯作者:Y. Kubo;K. Ohta;Y. Ikebuchi;S. Sugimoto
Regional Ionospheric VTEC Estimation applied by Spherical Cap Harmonic Analysis and Kalman Filter
通过球盖谐波分析和卡尔曼滤波器应用区域电离层 VTEC 估计
- DOI:
- 发表时间:2013
- 期刊:
- 影响因子:0
- 作者:M. Ohashi;K. Nishimoto;Y. Kubo and S. Sugimoto
- 通讯作者:Y. Kubo and S. Sugimoto
非線形関数に対する差分商近似を用いた連続‐離散非線形フィルタについて
关于使用非线性函数差商近似的连续离散非线性滤波器
- DOI:
- 发表时间:2012
- 期刊:
- 影响因子:0
- 作者:S. Sugimoto;Y. Kubo and M. Ohashi;竹野倫彰,片山徹
- 通讯作者:竹野倫彰,片山徹
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KATAYAMA Tohru其他文献
KATAYAMA Tohru的其他文献
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{{ truncateString('KATAYAMA Tohru', 18)}}的其他基金
Identification of Feedback and Nonlinear Systems by using Subspace Methods
使用子空间方法识别反馈和非线性系统
- 批准号:
20560428 - 财政年份:2008
- 资助金额:
$ 1.91万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
New Development in Subspace System Identification via Realization Theory
实现论子空间系统辨识的新进展
- 批准号:
17560389 - 财政年份:2005
- 资助金额:
$ 1.91万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Stochastic Subspace Identification Method and its Applications to Closed-Loop Identification
随机子空间辨识方法及其在闭环辨识中的应用
- 批准号:
15560376 - 财政年份:2003
- 资助金额:
$ 1.91万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Identification of Feedback Control Systems by Subspace Methods
子空间方法辨识反馈控制系统
- 批准号:
13650485 - 财政年份:2001
- 资助金额:
$ 1.91万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Realization and Subspace Identification of Continuous-Time Stochastic Systems
连续时间随机系统的实现与子空间辨识
- 批准号:
11650446 - 财政年份:1999
- 资助金额:
$ 1.91万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Realization of Stochastic Systems with Application to Subspace Identification Method
随机系统的子空间辨识方法的实现
- 批准号:
08650488 - 财政年份:1996
- 资助金额:
$ 1.91万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Study on H_2/H_* Optimal Control Using Descriptor Riccati Equation
基于描述符Riccati方程的H_2/H_*最优控制研究
- 批准号:
04650372 - 财政年份:1992
- 资助金额:
$ 1.91万 - 项目类别:
Grant-in-Aid for General Scientific Research (C)
A Study on Design of Process Control System in the Presence of Load Change
负荷变化时过程控制系统的设计研究
- 批准号:
02650303 - 财政年份:1990
- 资助金额:
$ 1.91万 - 项目类别:
Grant-in-Aid for General Scientific Research (C)