Name
Title | ||
|---|---|---|
Maximum likelihood array processing in spatially correlated noise fields using parameterized signals |
Abstract | ||
|---|---|---|
This paper deals with the problem of estimating signal parameters using an array of sensors. This problem is of interest in a variety of applications, such as radar and sonar source localization. A vast number of estimation techniques have been proposed in the literature during the past two decades. Most of these can deliver consistent estimates only if the covariance matrix of the background nois... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/78.564187 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Array signal processing,Maximum likelihood estimation,Sensor arrays,Parameter estimation,Working environment noise,Radar applications,Sonar applications,Covariance matrix,Background noise,Estimation error | Cramér–Rao bound,Array processing,Background noise,Control theory,Sensor array,Algorithm,Covariance matrix,Estimation theory,Statistics,Mathematics,Covariance,Estimator | Journal |
Volume | Issue | ISSN |
45 | 4 | 1053-587X |
Citations | PageRank | References |
42 | 3.22 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Viberg | 1 | 917 | 188.13 |
| Petre Stoica | 2 | 7959 | 915.30 |
| Björn E. Ottersten | 3 | 6418 | 575.28 |