Abstract
Any signal processing methodology when blindly applied to realistic data sets generates a significant number of false targets along with estimates for the true moving targets. In an effort to isolate the true movers from the false targets, a new approach exploiting spatio-temporal connectivity in addition to signal processing algorithms involving imaging and interferometry is proposed here to geolocate the movers in a measured data set.
| Original language | English (US) |
|---|---|
| Article number | 7130964 |
| Pages (from-to) | 21-26 |
| Number of pages | 6 |
| Journal | IEEE National Radar Conference - Proceedings |
| Volume | 2015-June |
| Issue number | June |
| DOIs | |
| State | Published - Jun 22 2015 |
| Event | 2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States Duration: May 10 2015 → May 15 2015 |
Keywords
- Clutter Suppression
- Cross-channel interferometry
- Ground Moving Target Indication (GMTI)
- Synthetic Aperture Radar (SAR)
- Target Geolocation
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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Cite this
Pillai, U., Li, K. Y., & Scarborough, S. (2015). Target geolocation in Gotcha data using panoramic processing. IEEE National Radar Conference - Proceedings, 2015-June(June), 21-26. [7130964]. https://doi.org/10.1109/RADAR.2015.7130964