Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 228,553,096 papers from all fields of science
Search
Sign In
Create Free Account
Radar tracker
Known as:
Multi radar tracker
, Multisensor tracker
, Multiradar tracker
Expand
A radar tracker is a component of a radar system, or an associated command and control (C2) system, that associates consecutive radar observations of…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
11 relations
Alpha beta filter
Constant false alarm rate
Extended Kalman filter
Joint Probabilistic Data Association Filter
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Distributed IMM-Unscented Kalman Filter for Speaker Tracking in Microphone Array Networks
Ye Tian
,
Zhe Chen
,
F. Yin
IEEE/ACM Transactions on Audio Speech and…
2015
Corpus ID: 15839863
In this paper, we first propose a distributed unscented Kalman filter (DUKF) to overcome the nonlinearity of measurement model in…
Expand
2008
2008
Interacting multiple model monocular SLAM
Javier Civera
,
A. Davison
,
J. Montiel
IEEE International Conference on Robotics and…
2008
Corpus ID: 2430193
Recent work has demonstrated the benefits of adopting a fully probabilistic SLAM approach in sequential motion and structure…
Expand
2008
2008
Fault detection, identification and estimation in the electro-hydraulic actuator system using EKF-based multiple-model estimation
Xudong Wang
,
V. Syrmos
Mediterranean Conference on Control and…
2008
Corpus ID: 14114626
In this paper, a fault detection, identification and estimation approach has been developed for the condition monitoring of the…
Expand
2008
2008
Stability analysis of the Interacting Multiple Model algorithm
Chze Eng Seah
,
Inseok Hwang
American Control Conference
2008
Corpus ID: 8704474
The interacting multiple model (IMM) algorithm is a well-known state estimation algorithm for hybrid systems. We derive a lower…
Expand
Highly Cited
2004
Highly Cited
2004
Particle filtering for stochastic hybrid systems
Hank A. P. Blom
,
E. A. Bloem
IEEE Conference on Decision and Control
2004
Corpus ID: 7915654
The standard way of applying particle filtering to hybrid systems is to make use of hybrid particles, where each particle…
Expand
Highly Cited
2002
Highly Cited
2002
Interacting multiple model joint probabilistic data association avoiding track coalescence
H. Blom
,
E. A. Bloem
Proceedings of the 41st IEEE Conference on…
2002
Corpus ID: 7145687
For the problem of tracking multiple targets the joint probabilistic data association (JPDA) filter approach has shown to be very…
Expand
2001
2001
An interacting multi-pattern probabilistic data association (IMP-PDA) algorithm for target tracking
L. Hong
,
N. Cui
IEEE Transactions on Automatic Control
2001
Corpus ID: 32014638
A theoretical development of a novel approach for target tracking based on multiple patterns extracted from measurement sequences…
Expand
1998
1998
IMM-based estimation for slowly evolving environments
Nam Soo Kim
IEEE Signal Processing Letters
1998
Corpus ID: 15995554
We propose a new approach to environmental parameter estimation for robust speech recognition in adverse conditions. The proposed…
Expand
1995
1995
Specification of a control system fitness function using constraints for genetic algorithm based design methods
G. Gray
,
Yun Li
,
D. Murray-Smith
,
K. Sharman
1995
Corpus ID: 62326208
The paper proposes a fitness function for genetic algorithms used in control system design based on derived response shape. A…
Expand
1991
1991
Tracking of splitting targets in clutter using an interacting multiple model joint probabilistic data association filter
Y. Bar-Shalom
,
Kuo-Chu Chang
,
Henk A. P. Blom
[] Proceedings of the 30th IEEE Conference on…
1991
Corpus ID: 61315658
The authors present a recursive algorithm that allows tracking of a target that splits into two targets in a cluttered…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE