Search
Search Results
-
Bearings-Only Multi-Target Tracking via Multi-LOS Fusion
This paper addresses the issue of selecting multiple aircrafts for multi-target tracking. It particularly focuses on scenarios involving...
-
Maximum correntropy-based pseudolinear Kalman filter for passive bearings-only target tracking
This paper proposes a new approach for solving the bearings-only target tracking (BoT) problem by introducing a maximum correntropy criterion to the...
-
A Maneuver Detection-Range Parameterized Cubature Kalman Filter for Bearings-Only Maneuvering Target Tracking
A maneuver detection-range parameterized cubature Kalman filter (MD-RPCKF) is proposed for bearings-only tracking of ground maneuvering target....
-
Bearings-Only Maneuvering Target Tracking Based on Modified Range Parameterized - Bias Compensation Pseudo Linear Kalman Filter Algorithm
A modified range parameterized bias compensation pseudo linear Kalman filter (MRP-BCPLKF) algorithm is proposed for single station bearings-only...
-
On distributed Kalman filter based state estimation algorithm over a bearings-only sensor network
This paper studies the distributed state estimation problem for a class of discrete-time linear time-varying systems over a bearings-only sensor...
-
Three-Dimensional Bearings-Only Target Tracking: Comparison of Few Sigma Point Kalman Filters
Three-dimensional bearings-only target tracking problem is considered in this work. To solve this problem, highly accurate nonlinear filtering...
-
Maximum Fuzzy Correntropy Kalman Filter and Its Application to Bearings-Only Maneuvering Target Tracking
In this paper, a novel maximum fuzzy correntropy Kalman filter (MFC-KF) algorithm is proposed to solve the problem that the effect of different...
-
Bayesian Single Target Tracking
This chapter develops the Bayes-Markov recursion for single target tracing. It begins by introducing Bayesian inference and the Bayesian inference...
-
Simple Multiple Target Tracking
This chapter develops a basic multiple target tracker which will be useful in relatively simple multiple target tracking situations. The difficulties...
-
A novel density-based clustering method for effective removal of spurious intersections in bearings-only localization
In bearings-only localization, clustering-based methods have been widely used to remove spurious intersections by fusing multiple bearing...
-
Iterated Orthogonal Simplex Cubature Kalman Filter for Target Tracking
In this paper, an iterated orthogonal simplex cubature Kalman filter (IOSCKF) for target tracking is proposed. The Gaussian weighted integral is...
-
System Error Registration Method of Bearings-Only Passive Location System for Surface Ships
Aiming at the problem of system error registration in the bearings-only location system for surface ships, this paper proposes a registration method...
-
Maneuvering Target Tracking using T-S Fuzzy Model of Physical Membership Function
A T-S fuzzy model identification method based on physical membership function is proposed for maneuvering target tracking. T-S fuzzy model is a good...
-
Performance Analysis of Bayesian Filtering and Smoothing Algorithms for Underwater Passive Target Tracking
Passive target tracking deals with nonlinear filtering in which dynamics of the system are considered to be linear, while the target state is built...
-
Sequential Harmonic Component Tracking for Underdetermined Blind Source Separation in a Multitarget Tracking Framework
Smart factories are composed of heterogeneous cyber-physical systems. In light of their complexity and the lack of transparency in their design,...
-
Performance Analysis of Gaussian Optimal Filtering for Underwater Passive Target Tracking
The problem of passive target tracking in the underwater environment is usually handled with nonlinear filtering algorithms, in which nonlinear...
-
On Distributed State Estimation with Bearing Measurements
State estimation with multiple sensors is an important topic in guidance and target tracking problems. This paper is concerned with the distributed...
-
Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach
This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial...
-
Prediction of target state using angles-only ensemble Kalman filter
This study deals with the problem of underwater target tracking using bearing and elevation measurements in passive mode without knowing the range...
-
Identification of Aerial Objects during Detection and Tracking by the All-Atmosphere Radar
AbstractThe paper investigates laws and ways to improve the efficiency of identification of objects with a rational selection of algorithms filtering...