Maximum Fuzzy Correntropy Kalman Filter and Its Application to Bearings-Only Maneuvering Target Tracking

Liangqun Li; Yingchun Sun; Zongxiang Liu

doi:10.1007/s40815-020-00956-0

ScienceGate Book Chapters

JOURNAL ARTICLE

Maximum Fuzzy Correntropy Kalman Filter and Its Application to Bearings-Only Maneuvering Target Tracking

Liangqun Li Yingchun Sun Zongxiang Liu

Year: 2021 Journal: International Journal of Fuzzy Systems Vol: 23 (2)Pages: 405-418 Publisher: Springer Science+Business Media

DOI: 10.1007/s40815-020-00956-0

Get Full-Text PDF Get Analytical Report

Keywords:

Kalman filter Invariant extended Kalman filter Computer science Fast Kalman filter Control theory (sociology) Extended Kalman filter Fuzzy logic Tracking (education) Filter (signal processing) Algorithm Artificial intelligence Mathematics Computer vision

Metrics

Cited By

1.69

FWCI (Field Weighted Citation Impact)

Refs

0.86

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Maximum Fuzzy Correntropy Kalman Filter and Its Application to Bearings-Only Maneuvering Target Tracking

Metrics

Citation History

Topics

Related Documents

A Pseudolinear Maximum Correntropy Kalman Filter Framework for Bearings-Only Target Tracking

Maximum correntropy-based pseudolinear Kalman filter for passive bearings-only target tracking

Mixture Maximum Correntropy Unscented Kalman Filter for Angles-Only Target Tracking Problem

Multiplatform Bearing-Only Target Tracking Algorithm Based on Maximum Likelihood Maximum Correntropy Kalman Filter

Maximum correntropy quadrature Kalman filter based interacting multiple model approach for maneuvering target tracking