Likelihood Consensus and Its Application to Distributed Particle Filtering
, 2012 We consider distributed state estimation in a wireless sensor network without a fusion center. Each sensor performs a global estimation task---based on the past and current measurements of all sensors---using only local processing and local ...
Djuric, Petar M. +4 more
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Gain-constrained recursive filtering with stochastic nonlinearities and probabilistic sensor delays [PDF]
, 2013 This is the post-print of the Article. The official published version can be accessed from the link below - Copyright @ 2013 IEEE.This paper is concerned with the gain-constrained recursive filtering problem for a class of time-varying nonlinear ...
Gao, H, Hu, J, Shen, B, Wang, Z
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Distributed consensus strong tracking filter for wireless sensor networks with model mismatches
International Journal of Distributed Sensor Networks, 2017 A distributed consensus strong tracking filter is developed and investigated for the target tracking problems with model mismatches in wireless sensor networks.
Quansheng Liu, Chongpeng Huang, Li Peng
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Frequency-domain distributed multichannel wiener filtering speech enhancement algorithm [PDF]
E3S Web of ConferencesA frequency-domain distributed microphone multi-channel Wiener filter speech enhancement algorithm is proposed in this paper. In this paper, the distributed microphone speech model is considered.
Tu Jingxian, Qin Guijiang, Lv Haifeng
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Bibliographic Review on Distributed Kalman Filtering [PDF]
, 2013 In recent years, a compelling need has arisen to understand the effects of distributed information structures on estimation and filtering. In this paper, a bibliographical review on distributed Kalman filtering (DKF) is provided.\ud The paper contains a ...
Khalid , Dr. Haris M. +1 more
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Trust-Based Distributed Set-Membership Filtering for Target Tracking Under Network Attacks
IEEE Access, 2023 For target tracking problems in wireless sensor networks subject to malicious network attacks, this paper proposes a distributed set-membership filtering algorithm based on trust dynamic combination strategy.
Haibo Wu +3 more
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Distributed Bayesian Filtering using Logarithmic Opinion Pool for Dynamic Sensor Networks [PDF]
, 2018 The discrete-time Distributed Bayesian Filtering (DBF) algorithm is presented for the problem of tracking a target dynamic model using a time-varying network of heterogeneous sensing agents.
Bandyopadhyay, Saptarshi, Chung, Soon-Jo
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Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic
International Journal of Reconfigurable Computing, 2010 Dynamic partial reconfiguration (DPR) allows us to adapt hardware resources to meet time-varying requirements in power, resources, or performance. In this paper, we present two new DPR systems that allow for efficient implementations of 1D FIR filters on
Daniel Llamocca +2 more
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Distributed Kalman Filtering Based on the Non-Repeated Diffusion Strategy
Sensors, 2020 Estimation accuracy is the core performance index of sensor networks. In this study, a kind of distributed Kalman filter based on the non-repeated diffusion strategy is proposed in order to improve the estimation accuracy of sensor networks.
Xiaoyu Zhang, Yan Shen
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PPF - A Parallel Particle Filtering Library
, 2014 We present the parallel particle filtering (PPF) software library, which enables hybrid shared-memory/distributed-memory parallelization of particle filtering (PF) algorithms combining the Message Passing Interface (MPI) with multithreading for multi ...
Demirel, Ömer +4 more
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