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

Junjie Feng, Yinan Sun, XiuXia Ji, Liangtian Wan
2021 Wireless Communications and Mobile Computing  
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
more » ... added to ensure the optimization solution along the steepest descent gradient direction. The experimental results show that the proposed algorithm has better imaging effect.
doi:10.1155/2021/5541116 fatcat:olvpowgzvrduvbarhm25dsg4te