Particle Filtering for Track Before Detect Applications
Integrated tracking and detection, based on unthresholded measurements, also referred to as track before detect (TBD) is a hard nonlinear and non-Gaussian dynamical estimation and detection problem. However, it is a technique that enables the user to track and detect targets that would be extremely...
Main Authors: | Torstensson, Johan, Trieb, Mikael |
---|---|
Format: | Others |
Language: | English |
Published: |
Linköpings universitet, Institutionen för systemteknik
2005
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4046 |
Similar Items
-
Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect Algorithm
by: Han Gao, et al.
Published: (2014-06-01) -
A PHD-Based Particle Filter for Detecting and Tracking Multiple Weak Targets
by: Zhichao Bao, et al.
Published: (2019-01-01) -
Novel Bayesian Track-Before-Detection for Drones Based VB-Multi-Bernoulli Filter and a GIGM Implementation
by: I. M. Salim, et al.
Published: (2020-06-01) -
A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking
by: Xuedong Wang, et al.
Published: (2017-11-01) -
Detection and Tracking of Stealthy Targets Using Particle Filters
by: Losie, Philip M
Published: (2009)