Name
Abstract | ||
|---|---|---|
Previous studies of statistical MIMO radar detection performance have used a target model that consists of a large number of point scatterers located within a rectangular target area. These point scatterers have scattering amplitudes that are complex random variables and are spatially uncorrelated, so that the target is a white noise process in space. Spatial correlations are introduced into the target model in this paper, and the impact of these correlations on MIMO radar system detection performance is analyzed. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/LSP.2010.2048138 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
MIMO radar,radar detection,scattering,white noise,point scatterers,scattering amplitudes,spatial correlations,statistical MIMO radar target model,white noise,Statistical MIMO rada | Random variable,Pattern recognition,Scattering amplitude,MIMO,Uncorrelated,White noise,Artificial intelligence,Scattering,Acoustics,Mimo radar,Mathematics,Radar cross-section | Journal |
Volume | Issue | ISSN |
17 | 6 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark T. Frankford | 1 | 20 | 2.86 |
| Joel T. Johnson | 2 | 926 | 116.14 |
| Emre Ertin | 3 | 766 | 63.22 |