A Novel Particle Filter Based on One-Step Smoothing for Nonlinear System with Missing Measurements

被引：0
作者：
Yang, Zhenrong [1 ]
Zhang, Xing [1 ]
Xiao, Yushan [1 ]
机构：
[1] Guangxi Univ, Sch Math & Informat Sci, Nanning 530003, Peoples R China
来源：
2024 3RD CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, FASTA 2024 | 2024年
关键词：
Particle Filter; Nonlinear Filter; One-Step Particle Smoother; Sequential Importance Sampling; Missing Measurement; STATE ESTIMATION; CONTROL DESIGN; DELAY; SUBJECT;
D O I：
10.1109/FASTA61401.2024.10595162
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a novel particle filter based on one-step smoothing for nonlinear systems with missing measurements. This filter iteratively employs a one-step smoother to improve the efficiency of importance sampling in bootstrap particle filtering through incorporating current measurement information into the apriori distribution. A simulation example of a target tracking model is given to illustrate that the proposed algorithm improves the sampling efficiency and estimation accuracy, which effectively limits the particle degradation phenomenon.
引用
收藏
页码：792 / 797
页数：6
相关论文
共 50 条
  • [21] High-degree cubature Kalman filter for nonlinear state estimation with missing measurements
    Zhang, Xing
    Yan, Zhibin
    Chen, Yunqi
    ASIAN JOURNAL OF CONTROL, 2022, 24 (03) : 1261 - 1272
  • [22] Maximum Correntropy-Based Extended Particle Filter for Nonlinear System
    Jin, Yongze
    Mu, Lingxia
    Feng, Nan
    Hei, Xinhong
    Li, Yankai
    Xie, Guo
    Ye, Xin
    Li, Jiajie
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2023, 70 (07) : 2520 - 2524
  • [23] Rayleigh Particle Filter for Nonlinear Tracking System
    Yulianti, Lenni
    Trilaksono, Bambang Riyanto
    2012 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS), VOLS 1-2, 2012, : 648 - 653
  • [24] Fault prediction for nonlinear stochastic system with incipient faults based on particle filter and nonlinear regression
    Ding, Bo
    Fang, Huajing
    ISA TRANSACTIONS, 2017, 68 : 327 - 334
  • [25] State estimation of nonlinear dynamic system using novel heuristic filter based on genetic algorithm
    Zandavi, Seid Miad
    Chung, Vera
    SOFT COMPUTING, 2019, 23 (14) : 5559 - 5570
  • [26] Particle filter method for fault diagnosis in nonlinear system
    Zhang, Ling-Xia
    Liu, Zhi-Cang
    Wang, Hui
    Qi, Hui-Yun
    Hu, Dan
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2015, 43 (03): : 615 - 619
  • [27] Strong tracking particle filter based fault diagnosis for nonlinear systems
    Liu Shirong
    He Wenbo
    PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 5, 2007, : 539 - +
  • [28] One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises
    Abolhasani, Mahdi
    Rahmani, Mehdi
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2020, 68 : 808 - 817
  • [29] An adaptive particle filter (APF) for estimating states of nonlinear system with unknown parameters
    Zhao, Dexin
    Li, Ting
    Huang, Zhiping
    Su, Shaojing
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 2987 - 2991
  • [30] Recursive Estimation for Sensor Systems With One-Step Randomly Delayed and Censored Measurements
    Wang, Zongyuan
    Zhou, Weidong
    IEEE ACCESS, 2020, 8 : 11710 - 11721
12345