基于压缩感知的频率分集阵列SAR三维成像方法

Subjects: Information Science and Systems Science >> Basic Disciplines of Information Science and Systems Science submitted time 2023-02-14 Cooperative journals: 《桂林电子科技大学学报》

崔昆仑 欧阳缮 廖可非 李晶晶

Abstract： The hardware design of phased array three-dimension synthetic aperture radar (SAR) system based on wideband
transmission signals is complicated, and the received signals are difficult to separate. By applying the frequency diverse array
(FDA) to 3D-SAR, each array element only needs to transmit a single frequency signal to obtain wideband observation performance,
which greatly reduces the hardware requirements of system. However, due to the space-frequency sparseness of
FDA echo signals, the resolution is limited and the sidelobes of radar images are relatively high when using the back projection
(BP) algorithm based on matched filtering. To solve this problem, this paper proposes a random frequency diverse array
3D-SAR imaging method based on compressed sensing (CS). The array elements in the tangent-track and the observation
positions in the along-track are selected randomly and sparsely to realize two-dimensional sparse sampling of echo data.
In the imaging part, orthogonal matching pursuit (OMP) algorithm is used to reconstruct the scattering coefficient of targets.
Simulation and experimental results show that CS method not only reduces the data processing amount of FDA-3DSAR
system during imaging, but also effectively suppresses the sidelobes of radar images, and the imaging quality is significantly
improved. By using the compressed sensing algorithm, FDA-3D-SAR can accurately reconstruct the information of
space targets when the echo is sparse, which verifies the rationality and effectiveness of the proposed method.

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