Mitigating atmospheric phase-errors in SAL data using model-based reconstruction

Depoy, Randy S.; Shaw, A.K.

doi:10.1109/naecon46414.2019.9058050

Cited by 1 publication

(2 citation statements)

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“…In the same year, Ning Wang [13] found that the influence of atmospheric turbulence was related to the time through an experiment with ISAL at 1.1 km. That aside, there are few studies on eliminating or mitigating the adverse effects of atmospheric turbulence on ISAL, such as from Randy S. Depoy and Arnab K. Shaw [14,15]. In 2019, they evaluated the performance of three model error correction algorithms to mitigate atmospheric blurring in reconstructed imagery [14].…”

Section: Introductionmentioning

confidence: 99%

“…That aside, there are few studies on eliminating or mitigating the adverse effects of atmospheric turbulence on ISAL, such as from Randy S. Depoy and Arnab K. Shaw [14,15]. In 2019, they evaluated the performance of three model error correction algorithms to mitigate atmospheric blurring in reconstructed imagery [14]. In 2020, modelbased reconstruction algorithms with model error corrections are proposed to mitigate the deleterious effects of atmospheric turbulence and restore image quality [15].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Atmospheric Coherent Time on Inverse Synthetic Aperture Ladar Imaging through Atmospheric Turbulence

et al. 2023

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Inverse synthetic aperture ladar (ISAL) can achieve high-resolution images for long-range moving targets, while its performance is affected by atmospheric turbulence. In this paper, the dynamic evolution of atmospheric turbulence is studied by using an infinitely long phase screen (ILPS), and the atmospheric coherent time is defined to describe the variation speed of the phase fluctuation induced by atmospheric turbulence. The simulation results show that the temporal decoherence of the echo induced by turbulence causes phase fluctuation and introduces an extra random phase, which deteriorates the phase stability and makes coherent synthesis impossible. Thus, we evaluated its effects on ISAL imaging and found a method to mitigate the impact of turbulence on ISAL images. The phase compensation algorithm could correct the phase variation in different pulses instead of that within the same pulse. Therefore, the relationship between the atmospheric coherent time and pulse duration time (rather than that between the atmospheric coherent time and ISAL imaging time) ultimately determines the ISAL imaging quality. Furthermore, these adverse effects could be mitigated by increasing the atmospheric coherent time or decreasing the pulse duration time, which results in an improvement in the ISAL imaging quality.

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