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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bergin, J.S. Guerci, J.R. Guerci, R.M. Rangaswamy, M. |
| Copyright Year | 2015 |
| Description | Author affiliation: Air Force Res. Lab., RYAP/WPAFB, Dayton, OH, USA (Rangaswamy, M.) || Inf. Syst. Labs., Inc., Vienna, VA, USA (Bergin, J.S.) || Cognitive Technol. Div., Guerci Consulting LLC, Arlington, VA, USA (Guerci, J.R.; Guerci, R.M.) |
| Abstract | A new airborne radar mode is introduced that addresses the problem of high false alarm rates due to strong clutter discretes in the radar field of regard. The new mode takes advantage of emerging cognitive and fully adaptive radar (CoFAR) architectures that support rapid adaptation of the radar space-time transmit waveform. The new mode exploits this flexibility to both rapidly characterize strong clutter discretes and minimize their impact on target detection performance, while minimizing impact to radar timeline. The new mode leverages a MIMO probing approach that rapidly characterizes the clutter discretes in the scene and uses the received signals to form an appropriate space-time waveform response that minimizes their radar return and impact on radar performance during the processing of subsequent radar pulses. The paper provides details about the processing algorithms and presents a performance assessment based on a simulation of an airborne GMTI radar system. |
| Starting Page | 1666 |
| Ending Page | 1670 |
| File Size | 742779 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479982325 |
| DOI | 10.1109/RADAR.2015.7131266 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clutter MIMO Radar clutter Radar antennas Radar cross-sections Spaceborne radar GMTI Cognitive radar MIMO radar adaptive waveforms channel estimation space-time adaptive processing (STAP) knowledge-aided (KA) processing clutter probing |
| Content Type | Text |
| Resource Type | Article |
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