Improved Pseudolinear Kalman Filter Algorithms for Bearings-Only Target Tracking

DOI10.1109/TSP.2017.2749207zbMath1415.94195OpenAlexW2751800313MaRDI QIDQ4628112

Kutluyıl Doǧançay, Ngoc-Hung Nguyen

Publication date: 6 March 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2017.2749207

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Novel pseudo-linear Kalman filtering for 3D angle-only tracking in the presence of observer's location errors ⋮ Receding horizon least squares estimator with application to estimation of process and measurement noise covariances ⋮ Robust maneuver strategy of observer for bearings‐only tracking

This page was built for publication: Improved Pseudolinear Kalman Filter Algorithms for Bearings-Only Target Tracking