Incorporation of aircraft orientation into automatic target recognition using passive radar
| Autor: | Aaron D. Lanterman, Lisa M. Ehrman |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Coordinated flight
Radar cross-section Radar tracker business.industry Computer science 020206 networking & telecommunications 02 engineering and technology Kalman filter law.invention Passive radar Extended Kalman filter Automatic target recognition law 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence Electrical and Electronic Engineering Radar business |
| Zdroj: | IET Radar, Sonar & Navigation. 14:1079-1087 |
| ISSN: | 1751-8792 1751-8784 |
| DOI: | 10.1049/iet-rsn.2020.0010 |
| Popis: | Most research regarding passive radar exploiting `illuminators of opportunity', such as FM radio, has focused on detecting and tracking targets. This study explores adding automatic target recognition (ATR) capabilities to such systems. The ATR algorithms described here use the radar cross-section (RCS) of potential targets, collected over a short period of time. The received signal model accounts for aircraft position and orientation, propagation losses, and antenna gain patterns. One proposed algorithm uses a coordinated flight model to estimate aircraft orientations, while a more sophisticated algorithm uses an extended Kalman filter to estimate the target orientations along with measures of uncertainty in those estimates. In both cases, the orientations are estimated using velocity measurements obtained from a tracking algorithm. The radar return of each aircraft in the target library is simulated as though each is executing the same manoeuvre as the target detected by the system. To improve the robustness of the result, the more sophisticated algorithm jointly optimises over feasible orientation profiles and target types via dynamic programming. |
| Databáze: | OpenAIRE |
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