Name
Title | ||
|---|---|---|
Spatial information theory of sensor array and its application in performance evaluation. |
Abstract | ||
|---|---|---|
The direction of arrival (DOA) and amplitude-phase (AP) of source signal can be estimated through array signal processing, while the process of information acquisition has not been described by information theory yet. In this study, the authors propose a novel spatial information theory framework to describe the DOA and AP estimation process. Firstly, they give a sensor array system model, where t... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-com.2019.0355 | IET Communications |
Keywords | Field | DocType |
array signal processing,channel capacity,direction-of-arrival estimation,entropy,Gaussian distribution,information theory,mean square error methods,sensor arrays | Spatial analysis,Information theory,Cramér–Rao bound,Signal-to-noise ratio,Sensor array,Algorithm,Mean squared error,Real-time computing,Additive white Gaussian noise,Channel capacity,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 15 | 1751-8628 |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dazhuan Xu | 1 | 1 | 2.12 |
| Xiao Yan | 2 | 1 | 0.43 |
| Shengkai Xu | 3 | 2 | 1.13 |
| Hao Luo | 4 | 1 | 2.46 |
| Jingwei Liu | 5 | 20 | 10.65 |
| Xiao-fei Zhang | 6 | 2 | 2.13 |