2022
DOI: 10.1016/j.optlastec.2022.108329
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Inverse synthetic aperture lidar imaging and compensation in slant atmospheric turbulence with phase gradient algorithm compensation

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Cited by 4 publications
(3 citation statements)
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“…It makes the Snr (signal-to-noise ratio) of micro-Doppler information decrease seriously. The double pulse laser [ 6 , 7 ] can emit higher energy under the condition that a single pulse has the same ranging ability, which is conducive to the detection of weak signals. Therefore, it is suitable for measuring the echo energy and intensity of a target.…”
Section: Introductionmentioning
confidence: 99%
“…It makes the Snr (signal-to-noise ratio) of micro-Doppler information decrease seriously. The double pulse laser [ 6 , 7 ] can emit higher energy under the condition that a single pulse has the same ranging ability, which is conducive to the detection of weak signals. Therefore, it is suitable for measuring the echo energy and intensity of a target.…”
Section: Introductionmentioning
confidence: 99%
“…Over the past decade, most previous simulation and experiment works on ISAL and SAL imaging in atmospheric turbulence have been demonstrated [4][5][6][7][8][9][10][11]. In 2014, the performance characterization of phase gradient autofocus for ISAL was studied by CJ Pellizzari [12], who showed that the phase gradient algorithm (PGA) can still maintain its advantage of automatic focusing under atmospheric turbulence and low signal-to-noise ratio (SNR) conditions.…”
Section: Introductionmentioning
confidence: 99%
“…In 2022, Ming Liu studied the imaging performance and anti-interference ability of an SAL with photonic lantern coupling under atmospheric turbulence [16]. At the same time, Jiyu Xue employed the PGA algorithm to study the ISAL imaging of rough targets in slant atmospheric turbulence through the use of an atmospheric random phase screen [11]. It was found that ISAL images with rough targets could be resolved not only under under weak turbulence but strong turbulence.…”
Section: Introductionmentioning
confidence: 99%