Name
Abstract | ||
|---|---|---|
For bistatic ground moving target indication radar, the clutter Doppler frequency depends on range for all array geometries. This range dependency leads to problems in clutter suppression through STAP techniques. In this paper, we propose a new approach of applying non-linear prediction theory to address the range dependency problem in bistatic airborne radar systems. This technique uses a non-linear function to obtain an estimate of the range-dependent inverse covariance matrix. Simulation results suggest a non-linear fit for the model (nonlinear relationship between the inverse covariance matrices) and show an improvement in processor performance as compared to conventional STAP methods. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICASSP.2007.366387 | ICASSP (2) |
Keywords | Field | DocType |
non-linear prediction,nonlinear prediction,stap,doppler radar,covariance matrices,inverse covariance matrix,space-time adaptive processing,clutter suppression,airborne radar,bistatic ground moving target indication radar,interference suppression,bistatic airborne radar systems,radar clutter,ground moving target indication,clutter doppler frequency,covariance matrix,interference,navigation,geometry,clutter,space time adaptive processing | Doppler radar,Computer science,Matrix (mathematics),Artificial intelligence,Space-time adaptive processing,Covariance,Radar,Computer vision,Pattern recognition,Clutter,Algorithm,Bistatic radar,Covariance matrix | Conference |
Volume | ISSN | ISBN |
2 | 1520-6149 E-ISBN : 1-4244-0728-1 | 1-4244-0728-1 |
Citations | PageRank | References |
3 | 0.50 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chin-heng Lim | 1 | 63 | 7.56 |
| Chong Meng Samson See | 2 | 175 | 19.41 |
| Bernard Mulgrew | 3 | 724 | 85.23 |