Location:
Search - kalman pda
Search list
Description: Probabilistic Data Association Filter跟踪算法示例-Probabilistic Data Association Filter Tracking Algorithm example
Platform: |
Size: 3072 |
Author: liushan |
Hits:
Description: 一种用于多目标跟踪的改进PDA算法，北京理工大学学报上面的文章，、概率数据
关联滤波(p robab ility data associat ion f ilter, PDA )-A multi-target tracking algorithm improvements PDA, Beijing Institute of Technology Journal of the above articles, probabilistic data association filter (p robab ility data associat ion f ilter, PDA)
Platform: |
Size: 135168 |
Author: 孟钢 |
Hits:
Description: 一种实现机动目标跟踪的STF动态模型PDA算法
我存的一篇论文，拿来与大家共享-An algorithmSTF-PDAhas been presented based on the strongtracking filterwith dynamicallymodifying structure of
model.The performance of probability data association (PDA) can be improved by this algorithm.The theoretic analysis shows the al-
gorithm is superiortothe PDAwithKalman or extented Kalman filter.Comparedwiththe latter one on simulations the simulations show
that this new algorithm is more effective.
Platform: |
Size: 38912 |
Author: dailu |
Hits:
Description: Bearing Only Tracking在多场景下的仿真程序 是本人在国外读书时研究项目中的导师和同事等共同开发 使用EKF(扩展KALMAN Filter)与PDA联合算法对target进行定位追踪-Bearing Only Tracking in a multi-scenario is the simulation program to study abroad when I research projects, such as mentors and colleagues to develop the use of EKF (extended KALMAN Filter) algorithm combined with the PDA to locate target tracking
Platform: |
Size: 9216 |
Author: chris |
Hits:
Description: Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detection range, strong anti-stealth ability,
the capability of the long early warning time, and so on.
In OTHR, a significant problem is the effect of multipath
propagation, which causes multiple detections via
different propagation paths for a target with missed detections
and false alarms at the receiver [1–6]. Nevertheless,
the conventional tracking algorithms, such as
probabilistic data association (PDA) [7–9], presume that
a single-measurement per target, it may consider the
other measurements of the same target as clutter, and
multiple tracks are produced when a single target is
present. Therefore, these methods cannot effectively
solve the multipath propagation problem.(Conventional multitarget tracking systems presume that each target can produce at most one measurement
per scan. Due to the multiple ionospheric propagation paths in over-the-horizon radar (OTHR), this assumption is
not valid. To solve this problem, this paper proposes a novel tracking algorithm based on the theory of finite set
statistics (FISST) called the multipath probability hypothesis density (MP-PHD) filter in cluttered environments.
First, the FISST is used to derive the update equation, and then Gaussian mixture (GM) is introduced to derive
the closed-form solution of the MP-PHD filter. Moreover, the extended Kalman filter (EKF) is presented to deal
with the nonlinear problem of the measurement model in OTHR. Eventually, the simulation results are provided
to demonstrate the effectiveness of the proposed filter.)
Platform: |
Size: 18432 |
Author: ioeyoyo |
Hits: