BOOK-CHAPTER

Position, Velocity and Acceleration Tracking Using Kalman Filter

Abstract

Constant acceleration movement in one, two and three dimensions can be modeled using time invariant models. Position, velocity and acceleration tracking is obtained using time invariant Kalman filter and steady state Kalman filter. The derived estimation and prediction are reliable.

Keywords:
Kalman filter Acceleration Control theory (sociology) Alpha beta filter Invariant extended Kalman filter Tracking (education) Extended Kalman filter Position (finance) Fast Kalman filter Invariant (physics) Mathematics Computer science Physics Moving horizon estimation Artificial intelligence Classical mechanics Psychology Control (management)

Metrics

2
Cited By
0.90
FWCI (Field Weighted Citation Impact)
0
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Geophysics and Sensor Technology
Physical Sciences →  Engineering →  Ocean Engineering

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