Name
Abstract | ||
|---|---|---|
We address adaptive detection of Swerling 2 pulse trains by an array of antennas. The disturbance is modeled in terms of a state space model and the ideas of subspace identification are used to come up with a GLRT-based detector. Such detector is compared by Monte Carlo simulation with a Kelly's detector derived assuming that returns are temporally uncorrelated (but spatially correlated) and that a proper set of secondary data is available. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CIP.2010.5604250 | CIP |
Keywords | Field | DocType |
monte carlo methods,adaptive radar,antenna arrays,radar detection,state-space methods,glrt based detector,kelly detector,monte carlo simulation,adaptive radar detection,antenna array,pulse train,state space model,subspace identification approach,subspace identification,detectors,spatial correlation,signal to noise ratio,covariance matrix | Monte Carlo method,Subspace topology,Signal-to-noise ratio,State-space representation,Algorithm,Antenna array,Electronic engineering,Pulse wave,Covariance matrix,Detector,Physics | Conference |
ISBN | Citations | PageRank |
978-1-4244-6457-9 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bandiera, F. | 1 | 0 | 0.34 |
| Orlando, D. | 2 | 0 | 0.34 |
| Ricci, G. | 3 | 1 | 0.82 |
| Louis L. Scharf | 4 | 2525 | 414.45 |