Name
Abstract | ||
|---|---|---|
Filtering over noisy channels is of interest in many network applications, in which a node infers a time-varying state by using messages received from another node that can observe such a state. This letter explores filtering with general models for state disturbance and communication channels by deriving a sufficient condition for which the estimation error is bounded. Specifically, the sufficient condition is expressed in terms of anytime capacity, a notion that characterizes the maximum sequential communication rate. The joint design of encoder and estimator with bounded estimation error is also presented. |
Year | DOI | Venue |
|---|---|---|
2023 | 10.1109/LCSYS.2022.3189972 | IEEE Control Systems Letters |
Keywords | DocType | Volume |
Non-Gaussian filtering,networks,anytime capacity,distributed inference | Journal | 7 |
ISSN | Citations | PageRank |
2475-1456 | 0 | 0.34 |
References | Authors | |
17 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenyu Liu | 1 | 0 | 0.34 |
| Andrea Conti | 2 | 1594 | 106.05 |
| Sanjoy K. Mitter | 3 | 1226 | 156.06 |
| Moe Z. Win | 4 | 2225 | 196.12 |