Name
Abstract | ||
|---|---|---|
This paper addresses an optimal state estimation problem in the presence of limited communication and noiseless feedback. In this setup, the state dynamics is estimated via an additive white Gaussian channel with input power constraint. We present a new communication and estimation strategy based on Kalman-Bucy filtering theory and water filling optimization algorithm. The optimality is established with respect to the minimal mean-square estimation error. As an example, we propose an analogue amplitude modulation scheme for state-estimation of a linear planar dynamics. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CDC.2011.6161479 | CDC-ECE |
Keywords | Field | DocType |
gaussian channels,awgn channels,noiseless feedback,state-estimation,water filling optimization algorithm,optimal state estimation,input power constraint,minimal mean-square estimation error,kalman-bucy filtering theory,additive white gaussian channel,linear planar dynamics,analogue amplitude modulation scheme,mean square error methods,convergence,transmitters,channel capacity,optimization,estimation,signal to noise ratio | Convergence (routing),Mathematical optimization,Computer science,Control theory,Signal-to-noise ratio,Gaussian channels,Planar,Amplitude modulation,Optimization algorithm,Filtering theory,Channel capacity | Conference |
ISSN | ISBN | Citations |
0743-1546 E-ISBN : 978-1-61284-799-3 | 978-1-61284-799-3 | 0 |
PageRank | References | Authors |
0.34 | 15 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dapeng Li | 1 | 31 | 8.68 |
| Naira Hovakimyan | 2 | 748 | 114.25 |