Despite its stability and computational complexity advantages, the pseudolinear Kalman
filter (PLKF) suffers from severe bias problems in bearings-only target tracking applications …

The article presents an approach to the control of a UAV on the basis of 3D landmark
observations. The novelty of the work is the usage of the 3D RANSAC algorithm developed …

This letter presents a new three-dimensional (3-D) instrumental variable based Kalman filter
(3D-IVKF) algorithm for angle-of-arrival target tracking from azimuth and elevation angle …

This work considers the tracking of the UAV (unmanned aviation vehicle) path on the basis
of bearing-only observations including azimuth and elevation angles. The significance of …

The article presents an overview of the theoretical and experimental work related to
unmanned aerial vehicles (UAVs) motion parameters estimation based on the integration of …

In bearings-only tracking systems, the pseudolinear Kalman filter (PLKF) has advantages in
stability and computational complexity, but suffers from correlation problems. Existing …

Применительно к одному стационарному пеленгатору развит метод обобщенной
идентификации группы движущихся излучающих целей, для которых априорно …

A two-step pseudolinear Kalman filter (2S-PLKF) was previously proposed for angle-of-
arrival (AOA) target tracking in three-dimensional space drawing on the pseudolinear …

The problem of indirect single-position coordinate determination based on the smoothed
measurements of bearing and the radial velocity of an object is solved considering motion …

This work considers the control of the UAV (unmanned aviation vehicle) on the basis of
bearing-only observations including azimuth and elevation angles. During the autonomous …