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» Particle filtering for Quantized Innovations
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ICASSP
2009
IEEE
13 years 11 months ago
Particle filtering for Quantized Innovations
In this paper, we re-examine the recently proposed distributed state estimators based on quantized innovations. It is widely believed that the error covariance of the Quantized In...
Ravi Teja Sukhavasi, Babak Hassibi
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 9 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
ICASSP
2008
IEEE
13 years 11 months ago
Distributed Kalman filtering based on quantized innovations
We consider state estimation of a Markov stochastic process using an ad hoc wireless sensor network (WSN) based on noisy linear observations. Due to power and bandwidth constraint...
Eric J. Msechu, Alejandro Ribeiro, Stergios I. Rou...
SIAMNUM
2010
105views more  SIAMNUM 2010»
12 years 11 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami
ICASSP
2011
IEEE
12 years 8 months ago
Consensus-based distributed particle filtering algorithms for cooperative blind equalization in receiver networks
We describe in this paper novel consensus-based distributed particle filtering algorithms which are applied to cooperative blind equalization of frequency-selective channels in a...
Claudio J. Bordin, Marcelo G. S. Bruno