Compensation for target speckle phase by use of the combination of the adaptive particle swarm optimization algorithm and the array detector method in heterodyne detection

Liu, Yutao; Zeng, Xiaodong; Cao, Changqing; Feng, Zhouming; Lai, Zhi; Fan, Zhaojin; Wang, Ting; Yan, Xu; Geng, Lixin; Zhu, Min; Su, Xiyuan

doi:10.1016/j.optcom.2019.124812

Cited by 9 publications

(2 citation statements)

References 25 publications

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“…phase noise suppression by post-processing algorithms to compensate for the phase of the heterodyne photocurrent generated by each detector. This scheme is more for the suppression of phase noise caused by the spatial phase of the target echo not coinciding with the LO light [12,18,19,[24][25][26][27][28][29]. However, the suppression of phase noise that changes rapidly over time due to rapid changes in the target surface is not satisfactory.…”

Section: While For the Case Ofmentioning

confidence: 99%

Laser Heterodyne Detection Based on Photon Time–Domain Differential Detection Avoiding the Effect of Decoherence Phase Noise

Guan,

Zhang,

Jia

et al. 2023

Sensors

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Laser heterodyne detection (LHD) is a key velocimetry technique that provides better accuracy and sensitivity than direct laser detection. However, random phase noise can be introduced by the surface topography of the moving target undulation or atmospheric turbulence during transmission. The random phase noise causes the target echo to undergo decoherence, resulting in degradation of the signal-to-noise ratio (SNR). Here, we propose a novel LHD method based on photon time–domain differential detection. It can infer the heterodyne spectrum of the target echo and the local oscillator light from the time intervals of the photon arrival. The time interval statistic is a relative quantity, which can effectively avoid the effect of random phase noise in LHD. With our method, the SNR of LHD can be improved in application scenarios where the target echo is decoherent. We developed a complete solution model for acquiring the heterodyne spectrum based on photon time–domain differential detection and performed proof-of-principle experiments. The experimental results show that in the presence of random phase noise, the SNR and velocity measurement error of our method are significantly better than that of the conventional method, and the larger the phase noise is, the more the SNR and velocity measurement error of our method are improved. Moreover, along with the increase in phase noise, the SNR of our method is basically unchanged, which also indicates that our method is not affected by random phase noise. This advantage is significant for photon-level weak echoes that require long detection times to be detected.

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Section: While For the Case Ofmentioning

confidence: 99%

Laser Heterodyne Detection Based on Photon Time–Domain Differential Detection Avoiding the Effect of Decoherence Phase Noise

Guan,

Zhang,

Jia

et al. 2023

Sensors

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show abstract

“…After being proposed, this method has been further investigated by other scholars 15 – 17 Different from the genetic algorithm used in our studies, they have tried different optimization algorithms from the perspective of algorithm efficiency. However, it is difficult to avoid that, the optimization algorithms consume long iterative processing time, along with unstable search result and other problems.…”

Section: Introductionmentioning

confidence: 99%

Compensation method for spatial phase distortion based on autocorrelation in laser heterodyne detection

Dong

et al. 2022

Opt. Eng.

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The signal-to-noise ratio (SNR) of heterodyne detection is seriously reduced by the spatial phase distortion, so the compensation method of the phase distortion is of great significance for improving the performance of the heterodyne system. By replacing the single detector with an array detector in the system, the previous compensation method based on sequence shift and optimization algorithm has a certain effect. However, the method also has various shortcomings, such as long processing time, poor search stability, and possible false alarm, which severely limits its practical application. To solve the above-mentioned problems, the autocorrelation operation is used to achieve the equiphase superposition of the signals output by the elements of the array detector, thereby realizing the phase compensation. In comparison to the previous method, our method does not need an optimization algorithm, which avoids the long iterative operations and considerably improves the processing efficiency. Besides, this method avoids the false alarm caused by the optimization algorithm. The numerical calculation indicates that in case of severe phase distortion, the proposed method can increase the SNR by dozens of dB compared with the single-point detector system, thus proving the effectiveness of this method. The study results may provide a feasible and effective phase compensation method for improving and promoting the laser heterodyne detection performance.

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Analysis of coherent laser echo characteristics back scattered from rough Gaussian target

Dong

2022

Optik

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Compensation for target speckle phase by use of the combination of the adaptive particle swarm optimization algorithm and the array detector method in heterodyne detection

Cited by 9 publications

References 25 publications

Laser Heterodyne Detection Based on Photon Time–Domain Differential Detection Avoiding the Effect of Decoherence Phase Noise

Laser Heterodyne Detection Based on Photon Time–Domain Differential Detection Avoiding the Effect of Decoherence Phase Noise

Compensation method for spatial phase distortion based on autocorrelation in laser heterodyne detection

Analysis of coherent laser echo characteristics back scattered from rough Gaussian target

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