Multiple importance unscented Kalman filtering with soft spatiotemporal constraint for multi‐passive‐sensor target tracking-Reference-Cited by-同舟云学术

Multiple importance unscented Kalman filtering with soft spatiotemporal constraint for multi‐passive‐sensor target tracking

Published:2022-01-30 Issue:1 Volume:33 Page:264-281
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Intl J Robust & Nonlinear

Author:

Zhang Hongwei¹²^ORCID

Affiliation:

1. School of Aeronautics and Astronautics Sun Yat‐sen University Guangzhou China

2. CAS Key Laboratory of Space Precision Measurement Technology Xi'an China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.5977

Reference30 articles.

1. Fundamental properties and performance of conventional bearings-only target motion analysis

2. Constrained Unscented Kalman Filtering for Bearings‐Only Maneuvering Target Tracking

3. Adaptive Learning-Based Observer With Dynamic Inversion for the Autonomous Flight of an Unmanned Helicopter

4. Bearing‐only formation control with prespecified convergence time;Li ZH;IEEE Trans Cybern,2020

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