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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chin-Heng Lim Chong-Meng Samson See Mulgrew, B. |
| Copyright Year | 2007 |
| Description | Author affiliation: Temasek Lab., NTU (Chin-Heng Lim; Chong-Meng Samson See) |
| 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. |
| File Size | 668231 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.366387 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Covariance matrix Clutter Laboratories Geometry Prediction theory Airborne radar Navigation Radar detection Interference Digital communication clutter suppression Space-time adaptive processing ground moving target indication non-linear prediction inverse covariance matrix |
| Content Type | Text |
| Resource Type | Article |
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