Beamforming and Tracking Assessment with Passive Radar Experimental Data

被引：0

作者：

Tri-Tan Van Cao ^{[1
]}

Vu, Tuyet ^{[1
]}

Byrne, Marion ^{[1
]}

Dahal, Nabaraj ^{[1
]}

Berry, Paul E. ^{[1
]}

Iji, Ayobami B. ^{[1
]}

Gustainis, Daniel ^{[1
]}

Ummenhofer, Martin ^{[2
]}

Kohler, Michael ^{[2
]}

机构：

[1] Def Sci & Technol DST Grp, Adelaide, SA, Australia

[2] Fraunhofer Inst High Frequency Phys & Radar Tech, Wachtberg, Germany

来源：

2020 IEEE INTERNATIONAL RADAR CONFERENCE (RADAR) | 2020年

关键词：

Passive radar; array beamforming; tracking; OSPAMT; compressive sensing; sparse approximation; direction-of-arrival estimation; PERFORMANCE EVALUATION;

D O I：

10.1109/radar42522.2020.9114715

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页码：49 / 54

页数：6

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