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Beamforming and Tracking Assessment with Passive Radar Experimental Data

2020 IEEE INTERNATIONAL RADAR CONFERENCE (RADAR)(2020)

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摘要
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.
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关键词
Passive radar,array beamforming,tracking,OSPAMT,compressive sensing,sparse approximation,direction-of-arrival estimation
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