Details

Autor(en) / Beteiligte

• Linghao Zeng
• Jing Liu
• Chongzhao Han

Titel

Dynamic compressed sensing based track-before-detect algorithm for dim target tracking

Ist Teil von

• 2016 19th International Conference on Information Fusion (FUSION), 2016, p.1434-1439

Ort / Verlag

ISIF

Erscheinungsjahr

2016

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• This paper presents a novel dynamic compressed sensing based track-before-detect (DCS-TBD) algorithm. The proposed DCS-TBD algorithm reconstructs the radar scenario at each scan, and extracts the states of potential targets from the reconstructed radar scenario. The proposed algorithm distinguishes the true targets from clutter via a Kalman filter based potential targets management scheme. Following this, the proposed algorithm sends the predicted states of the true targets to the dynamic compressed sensing framework as prior information of the next scan. Finally, it is demonstrated that the proposed DCS-TBD algorithm is capable of track dim targets effectively.