Knowledge‐based multiple hypothesis tracking and identification of manoeuvring reentry targets
Abstract This paper addresses the integrated tracking and identification problem of a manoeuvring reentry target that performs intentional lateral manoeuvres to disrupt ground radars. Unlike previous approaches, prior knowledge of the lift‐induced drag is incorporated into a new manoeuvring model to...
Main Authors: | Chan‐Seok Lee, Ick‐Ho Whang, Won‐Sang Ra |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-10-01
|
Series: | IET Radar, Sonar & Navigation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rsn2.12436 |
Similar Items
-
Application of Strong Tracking Cubature Kalman Filter in Air-to-Air Missile Guidance
by: Liang Jinxin, Tang Qi, Cui Hao, Zhang Gongping
Published: (2024-10-01) -
3D Turning Target Tracking Method Based on Particle Filter
by: Feng Yaqiang, Song Long, Zhang Gongping
Published: (2022-06-01) -
Beyond the Kalman Filter : particle filters for tracking applications /
by: 259100 Ristic, Branko, et al.
Published: (2004) -
Multiple‐model generalised labelled multi‐Bernoulli filter with distributed sensors for tracking manoeuvring targets using belief propagation
by: Chenghu Cao, et al.
Published: (2023-05-01) -
Application of Mixed Kalman Filter to Passive Radar Target Tracking
by: Wu Yong, et al.
Published: (2015-01-01)