Distributed Estimation (Wireless Sensor Network)
Distributed estimation in wireless sensor networks with semi orthogonal MAC
... perform distributed estimation using a WSN, each sensor makes an observation of the quantity of interest, generates a local signal, and then sends it to a fusion center (FC) via a wireless fading ...
17
Distributed Estimation Based on Prior Information
... approximate distributed estimation for different prior cases, with the help of Bayesian-based FB KF, The estimation is derived on a stochastic singular linear ...
34
Distributed Estimation and Inference for the Analysis of Big Biomedical Data
... use distributed systems to store data on different servers, and recent computing and algorithmic advances allow statistical methods to be run in a distributed fashion when the data on different servers are ...
212
Probabilistic distance based quantizer design for distributed estimation
... the estimation error which are the two crucial conditions for quantizer design algorithms in distributed estimation systems, several global metrics related to the estimation error were ...
8
Adaptive link selection algorithms for distributed estimation
... for distributed estimation and considers their application to wireless sensor networks and smart ...or distributed estimation strategies, the key features of the proposed algorithms are as ...
22
Distributed estimation and control in networked systems
... in distributed control in Section ...the distributed control problem that is suitable for the infinite horizon version of the ...a distributed estimation ...search-based distributed ...
266
Blind distributed estimation algorithms for adaptive networks
... a distributed algorithm is required, through which nodes can interact with each other and improve their individual estimates as well as the overall performance of the ...different distributed schemes has ...
20
A variable step size strategy for distributed estimation over adaptive networks
... A lot of work has been done recently to develop algorithms that utilize the distributed structure of an ad hoc wireless sensor network to estimate a certain parameter of interest. One such algorithm is called ...
14
DISTRIBUTED ESTIMATION OF ACTUAL EVAPOTRANSPIRATION THROUGH REMOTE SENSING TECHNIQUES
... resolution distributed estimate of ET and other energy balance ...spatially distributed ET in southern Italy. Distributed estimates of turbulent fluxes (latent flux λ E and sensible flux H) and ...
24
A robust fusion estimation with unknown cross covariance in distributed systems
... appropriate distributed fusion estimations with unknown cross-covariance of esti- mation ...a distributed fusion system, when there exist some uncertainties in state equation or sensor observation ...
16
Physics driven quantized consensus for distributed diffusion source estimation using sensor networks
... Bayesian estimation method which is suitable under strict power and computational constraints is proposed in [25], it also assumes that messages can be exchanged with infinite precision, ...fully ...
22
Distributed information consensus filters for simultaneous input and state estimation
... the distributed filtering for simultaneous input and state esti- mation over a sensor network, in which each sensor node might access to the different local measurement depending on the available ...for ...
13
Distributed Control and Computing: Optimal Estimation, Error Correcting Codes, and Interactive Protocols
... linear estimation problems. For example, [54] proposes a particle filtering solution for optimal filtering using quantized sensor measurements. But, quantizing sensor mea- surements can lead to large quantization ...
184
Probability based pilot allocation for MIMO relay Distributed compressed sensing channel estimation
... channel estimation approaches could be used to increase the bandwidth efficiency and accuracy of channel ...is distributed iden- ...the Distributed CS (DCS)-based channel estimation approaches ...
14
Link Gain Matrix Estimation in Distributed Large Scale Wireless Networks
... In [7], we considered the use of spatial interpolation for pathloss estimation. In this approach, a subset of link gains is measured, and then we invoke the assumption of smooth spatial variations to infer all ...
9
Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods
... parameter estimation can be addressed using varia- tional ...condition estimation), local sen- sitivity analysis, where also addressed in this framework in land surface hydrology (Mahfouf, 1991; Callies et ...
15
Estimation and Mitigation of Current and Voltage Harmonics in Distribution System Using Distributed Generation
... of Distributed Generation (DG)‖, Proceedings of the 5th WSEAS International Conferences on Instrumentation, Measurement, Circuits and Systems, Hangzhou, China, April 16-18, 2006 ...
7
Estimation of Fading Statistics of Nakagami Channel with Weibull Distributed Tolerable Outage Time
... In mobile radio networks the received signal envelope is modeled using certain pdf such as Rician, Rayleigh and lognormal [9-11]. For the emerging networks, operating at VHF and UHF frequencies, Rayleigh ...
6
Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote sensing data
... where the density of ground stations is poor. This leads to a panorama in which estimating the parameters of a hydrolog- ical model by using only satellite information is a real possi- bility (Silvestro et al., 2013). ...
25
Study on communication channel estimation by improved SOMP based on distributed compressed sensing
... worst estimation performance because the pilot frequency is smaller than the channel length and the algorithm itself is greatly affected by noise when estimating the sparse ...channel estimation, SOMP ...
8