Sequential Bayesian Algorithms for Identification and Blind Equalization of Unit-Norm Channels

Bordin, Claudio J.; Bruno, Marcelo G. S.

doi:10.1109/lsp.2015.2464154

Cited by 8 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Those situations arise naturally due to geometric constraints on the states or parameters in different fields such as e.g. attitude or pose estimation in navigation or robotics [1][2][3], computer vision [4], communication channel identification [5,6], and tracking problems using microphone arrays [7]. Moreover, modern engineering systems often involve cooperation between multiple agents to execute a common global task [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Parameter Tracking on the Unit Sphere Using Distributed Adapt-Then-Combine Particle Filters and Parallel Transport

Figueredo

Bordin

Bruno

2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Self Cite

View full text Add to dashboard Cite

This paper introduces a new distributed Adapt-then-Combine (ATC) diffusion algorithm for cooperative tracking of an unknown state vector that evolves on the unit hypersphere. The adapt step is implemented for a general nonlinear observation model and a dynamic state model defined on the hypersphere using a marginal particle filter (PF). The combine step in turn uses parallel transport to build Gaussian parametric approximations on a common tangent space to the spherical manifold. Performance results are compared to those of competing linear diffusion Extended Kalman Filters and non-cooperative PFs.

show abstract