Unscented Kalman Filter and Gauss-Hermite Kalman Filter for Range-Bearing Target Tracking

Gabriel Sánchez Barragán; Saba Infante; Aracelis Hernández

doi:10.1007/978-3-030-75680-2_59

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Unscented Kalman Filter and Gauss-Hermite Kalman Filter for Range-Bearing Target Tracking

Gabriel Sánchez Barragán Saba Infante Aracelis Hernández

Year: 2021 Smart innovation, systems and technologies Pages: 537-544 Publisher: Springer Nature

DOI: 10.1007/978-3-030-75680-2_59

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Keywords:

Kalman filter Control theory (sociology) Unscented transform Invariant extended Kalman filter Extended Kalman filter Ensemble Kalman filter Estimator Fast Kalman filter Nonlinear system Computer science Engineering Mathematics Artificial intelligence Physics Statistics

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

GNSS positioning and interference

Physical Sciences → Engineering → Aerospace Engineering

Unscented Kalman Filter and Gauss-Hermite Kalman Filter for Range-Bearing Target Tracking

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