Abstract
Circular ground-based synthetic aperture radar (GBSAR) is a new type of GBSAR with three-dimensional (3D) imaging capability. Its relatively low bandwidth-to-frequency ratio and donut shaped spectrum cause high sidelobes problem, which seriously affects the quality of SAR images. To solve this problem, a multi-phase-center sidelobe suppression method for circular GBSAR based on sparse spectrum is proposed in this paper. This method optimizes the sparse spectrum distribution of multi-phase-center circular GBSAR to suppress the originally high sidelobes. In this paper, the signal model of multi-phase-center circular GBSAR is established, the point spread function (PSF) is derived, and the relationship between the sparse spectrum distribution and the sidelobe level is also analyzed. Moreover, we provide the optimal distribution of the sparse spectrum, thus the optimal distribution of multiple phase centers can be calculated with given imaging geometry, providing the best sidelobe performance. The proposed method is verified via simulation experiments.
Highlights
In recent years, ground-based synthetic aperture radar (GBSAR) has been used in multiple applications, like landslide monitoring [1], [2], volcano monitoring [3], [4], glacier monitoring [5], [6], open pit monitoring [7], [8], bridge and building monitoring [9]–[12], and so on
Equation (22) can be simplified to r1 r3 ≈ b1 max b3 max r2 r3 ≈ b2 max b3 max According to the above analysis, we find that the multi-phase-center circular GBSAR with randomly sparse spectrum distribution has lower sidelobe
In this paper, a new multi-phase-center sidelobe suppression method for circular GBSAR based on sparse spectrum is proposed
Summary
GBSAR has been used in multiple applications, like landslide monitoring [1], [2], volcano monitoring [3], [4], glacier monitoring [5], [6], open pit monitoring [7], [8], bridge and building monitoring [9]–[12], and so on. For the high sidelobe problem of circular GBSAR, a new circular array SAR (CASAR) was proposed in reference [25] It uses the rotation of an array to form multiple concentric circular apertures, and the final spectrum is still donut shaped but broadened as shown in Figure 3 (b), achieving lower sidelobes. In order to effectively solve this problem, a multi-phasecenter sidelobe suppression method for circular GBSAR based on sparse spectrum is proposed in this paper. The new sidelobe suppression method based on sparse spectrum is proposed to solve the high sidelobe problem of circular GBSAR. It can effectively suppress the high sidelobe, only using a limited phase centers number.
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