Name
Title | ||
|---|---|---|
A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems |
Abstract | ||
|---|---|---|
Compressive sensing (CS), as a new sensing/sampling paradigm, facilitates signal acquisition by reducing the number of samples required for reconstruction of the original signal, and thus appears to be a promising technique for applications where the sampling cost is high, e.g., the Nyquist rate exceeds the current capabilities of analog-to-digital converters (ADCs). Conventional CS, although effective for dealing with one signal, only leverages the intrasignal correlation for reconstruction. This paper develops a decentralized Bayesian reconstruction algorithm for networked sensing systems to jointly reconstruct multiple signals based on the distributed compressive sensing (DCS) model that exploits both intra- and intersignal correlations. The proposed approach is able to address-networked sensing system applications with privacy concerns and/or for a fusion-center-free scenario, where centralized approaches fail. Simulation results demonstrate that the proposed decentralized approaches have good recovery performance and converge reasonably quickly. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TWC.2015.2487989 | IEEE Transactions Wireless Communications |
Keywords | Field | DocType |
Bayes methods,compressed sensing,correlation methods,signal detection,signal reconstruction,signal sampling,ADCs,DCS model,analog-to-digital converters,decentralized Bayesian reconstruction algorithm,distributed compressive sensing,fusion-center-free scenario,intersignal correlations,intrasignal correlation,networked sensing systems,sampling cost,signal acquisition,signal reconstruction,Bayesian inference,Distributed compressive sensing (DCS),signal reconstruction | Flight dynamics (spacecraft),Real-time computing,Converters,Exploit,Reconstruction algorithm,Sampling (statistics),Nyquist rate,Compressed sensing,Mathematics,Bayesian probability | Journal |
Volume | Issue | ISSN |
15 | 2 | 1536-1276 |
Citations | PageRank | References |
7 | 0.41 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Chen | 1 | 56 | 4.40 |
| Ian J. Wassell | 2 | 288 | 35.10 |