The application of particle filtering to MUD is not obvious because most DSSMs are indexed by time. A CDMA system is static within a symbol time but uncorrelated across different symbols. We use the whitened matched filter (WMF) for DSSM, and simulations show better performance than previous ...
Degeneracy phenomenon and large calculation are the main disadvantages of particle filtering,which restricts its application.Common re-sampling methods can resolve the degeneracy phenomenon,but the sample impoverishment and large calculation is a secondary result.So a mean approaching particle filter based ...
We discuss the merit of application of the particle filter compared with the ensemble Kalman filter in data assimilation, as well as its application to tsunami simulation model. The particle filter is one of the ensemble-based methods and is similar to the ensemble Kalman filter that is widely ...
If the change is drastic the particle filter will lose track rapidly and the increase in tracking error can be used to detect the change. In this paper we propose a new statistic for detecting 'slow' changes or abnormalities which do not cause the particle filter to lose track for a long...
the art and the proposed methods are analyzed.The proposed method is also applied to navigation.Both the results of the analysis and simulation show that the proposed method can remarkably speed up the computation for the multisensor fusion,especially for the particle filter with a lot of ...
We address the design of a particle filter (PF) that can be implemented in a distributed manner over a network of wireless sensor nodes, each of them collecting their own local data. This is a problem that has received considerable attention lately and several methods based on consensus, the...
We demonstrate the application of the SLC in a distributed particle filter with low communication requirements and low latency. Because the JLF is available at each sensor, the local particle filters at the individual sensors take into account the measurements of all sensors. The performance of the...
The existent FSO methods are derived based on the Kalman filter (KF) and extended KF (EKF). Different from classical stochastic optimization methods such as the stochastic gradient descent (SGD) and typical IPMs, such KF-type algorithms possess a desirable property, namely they do not require ...
We address this issue by proposing Particle Filter (PF)-based video decoders (MPEG2 and H.264) which exploit application-specific characteristics. More specifically, our PF-based video decoders utilize the size of each frame for the prediction of its decoding time. Compared to previous work, ...
However, the range of application of C-MC is not only restricted to the distributed scenario. We introduce two novel particle filtering schemes based on the C-MC approach. The first scheme enhances the well-known Gaussian particle filter (GPF) [23]. This proposed algorithm contains the GPF ...