JOURNAL ARTICLE

A Survey of Maneuvering Target Tracking Using Kalman Filter

Abstract

Maneuvering target tracking technology is widely used in both military and civilian fields.Kalman filtering technique is the key technology for maneuvering target tracking.However, due to the uncertainty of the environment and the diversity of the sensors, the defects of traditional Kalman filter are revealed.To solve these problems, a variety of new Kalman filters have been proposed.In this paper, we sum up the application of different Kalman filters for target tracking in various environments, including the adaptive Kalman filter, the extended Kalman filter(EKF), and the unscented Kalman filter(UKF), and analyze the key problems including the improvement of accuracy, real time performance and robustness.

Keywords:
Kalman filter Fast Kalman filter Extended Kalman filter Invariant extended Kalman filter Alpha beta filter Computer science Robustness (evolution) Unscented transform Control theory (sociology) Ensemble Kalman filter Tracking (education) Computer vision Artificial intelligence Moving horizon estimation

Metrics

13
Cited By
1.26
FWCI (Field Weighted Citation Impact)
23
Refs
0.91
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
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering

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