Details

Autor(en) / Beteiligte

• Tianyao Huang
• Yimin Liu
• Huadong Meng
• Xiqin Wang

Titel

Randomized step frequency radar with adaptive compressed sensing

Ist Teil von

• 2011 IEEE RadarCon (RADAR), 2011, p.411-414

Ort / Verlag

IEEE

Erscheinungsjahr

2011

Quelle

IEEE Xplore

Beschreibungen/Notizen

• We develop a novel algorithm for range and velocity joint estimating in randomized stepped frequency radar. By exploiting sparseness of the targets and invoking compressed sensing (CS) theory, higher resolution can be achieved. However, in actual radar system, some previous CS methods probably suffer from off-grid point effect, which causes performance degradation of the methods. We produce an adaptive CS method to mitigate the off-grid point effect. The performance of the proposed algorithm on accuracy and resolution of range-velocity joint estimate are illustrated by simulations and field experiments.