| Autor: |
Nabaraj Dahal, Martin Ummenhofer, Tri-Tan Van Cao, Tuyet Vu, Ayobami B. Iji, Michael Kohler, Marion Byrne, Paul E. Berry, Daniel Gustainis |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 IEEE International Radar Conference (RADAR). |
| Popis: |
Using experimental data captured with a passive radar linear array built by Defence Science and Technology (DST) Group, the performance of various beamforming algorithms (beamformers) for direction-of-arrival (DoA) estimation is comparatively assessed. Beamformers' DoA estimates are passed to a tracker which performs angle tracking, and the resulting track quality is examined based on the Optimal Sub-Pattern Assignment Metric for Multiple Tracks (OSPAMT). By matching the ground-truth tracks with the confirmed tracks, the OSPAMT takes into account both the locality error (how close the confirmed tracks are to the ground-truth tracks) and the cardinality error (the numbers of false tracks, track breaks and missed tracks). The best OSPAMT score is achieved by a newly-designed sparse solution beamformer derived from a compressive sensing principle and based on off-grid approaches. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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