Details

Autor(en) / Beteiligte

• Feng, Junjie
• Sun, Yinan
• Ji, XiuXia
• Wan, Liangtian
• Liangtian Wan

Titel

High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm

Ist Teil von

• Wireless communications and mobile computing, 2021-04, Vol.2021, p.1-7

Ort / Verlag

Oxford: Hindawi

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In order to solve the problem of high-resolution ISAR imaging under the condition of finite pulses, an improved smoothed L0 norm (SL0) sparse signal reconstruction ISAR imaging algorithm is proposed. Firstly, the ISAR imaging is transformed into the optimization problem of minimum L0 norm. Secondly, a single-loop structure is used instead of two loop layers in SL0 algorithm which increases the searching density of variable parameter to ensure the recovery accuracy. Finally, the compared step is added to ensure the optimization solution along the steepest descent gradient direction. The experimental results show that the proposed algorithm has better imaging effect.