STAP moving target position estimation accuracy improvement and false detection recognition using a priori road information
| Autor: | Andre Barros Cardoso da Silva, Stefan V. Baumgartner |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
business.industry Aperture 0211 other engineering and technologies 020206 networking & telecommunications 02 engineering and technology Accuracy improvement law.invention Azimuth law Position (vector) False detection 0202 electrical engineering electronic engineering information engineering A priori and a posteriori Computer vision Artificial intelligence Road map Radar business 021101 geological & geomatics engineering Remote sensing |
| Zdroj: | 2017 18th International Radar Symposium (IRS). |
| DOI: | 10.23919/irs.2017.8008116 |
| Popis: | We have recently presented a processor for traffic monitoring applications that combines the post-Doppler space-time adaptive processing (PD STAP) with a road map obtained from the freely available OpenStreetMap (OSM). In this paper, the positioning error model of this processor is presented and discussed. In fact, two error models are combined: one for the PD STAP detections and one for the OSM road points. The positioning error model is essential for obtaining robust and reliable results. It was tested using real 4-channel aperture switching radar data acquired by the DLR's airborne system F-SAR. The results reveal a powerful algorithm that recognizes and rejects many of the false detections, being suitable for traffic monitoring applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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