Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Square-Root Sigma-Point Information Consensus Filters for Distributed Nonlinear Estimation.

Guoliang Liu¹, Guohui Tian²

¹School of Control Science and Engineering, Shandong University, Jinan 250061, China. liuguoliang@sdu.edu.cn.

Sensors (Basel, Switzerland)

|April 12, 2017

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Bimetallic Cu/Ni-doped porous carbon fibers as high-performance adsorbents for organic dyes.

Nanoscale horizons·2026

Same author

Diene Rubber Functionalization and Degradation for Improved Materials Circularity.

ChemSusChem·2026

Same author

Condition-Associated Pattern Extraction and Recovery From Multi-Condition Single-Cell RNA-seq Data With CAPER.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

Bio-Inspired Investigation on Dual-Pore Synergistic Effect in Zirconium Supramolecular Framework for Ethane/Ethylene Separation.

Inorganic chemistry·2026

Same author

Edge Sulfur Vacancies on MoS<sub>2</sub> Enable Room-Temperature Hydrodeoxygenation of 5-Hydroxymethylfurfural.

Angewandte Chemie (International ed. in English)·2026

Same author

An EuL<sup>1</sup><sub>3</sub> with multi-recognition site used as luminescent biosensors for efficiently monitoring exercise therapy for depression.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

This study enhances object tracking in distributed sensor networks using novel nonlinear information consensus filters. These methods improve estimation accuracy and convergence rates for nonlinear distributed systems.

Area of Science:

Robotics and Control Systems
Distributed Computing
Signal Processing

Background:

Object tracking in distributed sensor networks often involves nonlinear models, posing challenges for traditional estimation methods.
Existing nonlinear filters may require computationally expensive Jacobian calculations, limiting their efficiency.
Improving convergence rates is crucial for real-time applications with limited consensus iterations.

Purpose of the Study:

To develop derivative-free nonlinear information consensus filters that enhance numerical characteristics and estimation accuracy.
To introduce square-root extensions for linearization of nonlinear models without Jacobian computation.
To propose dynamic hybrid consensus filters for accelerated convergence in distributed object tracking.

Main Methods:

Keywords:

distributed estimation information filter sensor network target tracking

Related Experiment Videos

Square-root extensions of derivative-free information weighted consensus filters (IWCFs) utilizing unscented transform, Stirling's interpolation, and cubature rules.
Development of square-root dynamic hybrid consensus filters (DHCFs) incorporating an estimated factor for weighting information contributions.
Comparative simulations against state-of-the-art methods in distributed camera network scenarios.

Main Results:

The proposed square-root IWCFs effectively linearize nonlinear models, improving numerical characteristics and estimation accuracy.
Square-root DHCFs demonstrate a faster convergence rate, particularly when the number of consensus iterations is limited.
Simulations confirm superior estimation performance compared to existing methods in distributed camera network applications.

Conclusions:

The novel square-root extensions of derivative-free information consensus filters offer a robust and efficient approach to nonlinear distributed estimation.
The dynamic hybrid consensus filters provide a significant improvement in convergence speed for object tracking tasks.
These advancements hold promise for enhancing the performance of distributed sensor networks in complex tracking scenarios.