Name
Title | ||
|---|---|---|
Diffusion distributed Kalman filter over sensor networks without exchanging raw measurements. |
Abstract | ||
|---|---|---|
In this paper, we propose a new diffusion strategy based distributed state estimation algorithm over sensor networks. In the proposed algorithm, every sensor only communicates with their neighboring sensors, and only intermediate estimation information is exchanged to avoid sharing raw measurements, which may be unavailable or inconvenient to be transmitted under some circumstances. Local estimations are obtained through a new method and the convex combination weights are obtained through covariance intersection (CI) technology. To further release the communication burden and energy consuming , one simplified algorithm is also given, where the local and final estimations are fused at a selected rate. We analyze the mean and convergence performances of proposed algorithms under some assumptions. Numerical simulations show that the first algorithm has better estimation accuracy when comparing with several existing diffusion based methods, and the latter simplified algorithm has good estimation accuracy but greatly reduced communication burden and energy consuming. Proposed two algorithms avoid using raw measurementsThe first one yields better estimation accuracy than existing similar solutions.The second one further releases communication burden by fusing at a selected rate.Both algorithms are unbiased and uniform stable under some assumptions.Target tracking examples demonstrate the effectiveness of proposed algorithms. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.sigpro.2016.07.033 | Signal Processing |
Keywords | Field | DocType |
Distributed Kalman filter (DKF),Diffusion strategy,Covariance intersection (CI),Sensor networks,Estimation exchange | Convergence (routing),Mathematical optimization,Convex combination,Computer science,Covariance intersection,Brooks–Iyengar algorithm,Kalman filter,Wireless sensor network | Journal |
Volume | Issue | ISSN |
132 | C | 0165-1684 |
Citations | PageRank | References |
13 | 0.55 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guoqing Wang | 1 | 75 | 17.84 |
| Ning Li | 2 | 163 | 14.85 |
| Yonggang Zhang | 3 | 247 | 27.34 |