An Image Focusing Method for Sparsity-Driven Radar Imaging of Rotating Targets

作者：Ngoc Hung Nguyen^*; Dogancay Kutluyil; Hai Tan Tran; Berry Paul

来源：Sensors, 2018, 18(6): 1840.

DOI：10.3390/s18061840

• radar imaging
• rotating target
• sparsity
• image focusing
• high-resolution ISAR
• sparse reconstruction
• compressive sensing
• micro-motion
• micro-Doppler

This paper presents a new image focusing algorithm for sparsity-driven radar imaging of rotating targets. In the general formulation of off-grid scatterers, the sparse reconstruction algorithms may result in blurred and low-contrast images due to dictionary mismatch. Motivated by the natural clustering of atoms in the sparsity-based reconstructed images, the proposed algorithm first partitions the atoms into separate clusters, and then the true off-grid scatterers associated with each cluster are estimated. Being a post-processing technique, the proposed algorithm is computationally simple, while at the same time being capable of producing a sharp and correct-contrast image, and attaining a scatterer parameter estimation performance close to the Cramer-Rao lower bound. Numerical simulations are presented to corroborate the effectiveness of the proposed algorithm.

• 出版日期2018-6