Mr. Zhengxian Wang Profile

Zhengxian Wang

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Proceedings Article | 27 September 2024 Paper

Incoherent spectral imaging based on Bessel beams

Xukun Cheng, Xuelian Yu, Zhengxian Wang, Hao Yin, Lihang Zhao, Jia Li, Jia Niu

Proceedings Volume 13282, 132820J (2024) https://doi.org/10.1117/12.3046313

KEYWORDS: Bessel beams, Point spread functions, Imaging spectroscopy, Holograms, Spectral resolution, Multiplexing, Imaging systems, Holography, Spatial light modulators

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The patch shape of microstrip patch antenna is an important factor affecting the performance of the antenna, in order to make the microwave antenna miniaturization, high gain performance requirements, respectively, k-band operating frequency at 24GHz rectangular and circular coaxial fed microstrip antenna simulation, compare the performance and size of the circular and rectangular microstrip antenna, the dielectric substrate using Rogers 4350, the dielectric constant of 3.66, the thickness of substrate is 0.5mm. The simulation results show that the circular coaxial fed microstrip antenna operating at 24GHz is superior to the rectangular microstrip antenna in terms of size and performance, and this structure can be used in the development of small microwave sensors for the transmission and reception of microwave signals.

Proceedings Article | 13 December 2023 Paper

Research on the Wirtinger Flow algorithm based on quadratic distribution initial value

Zhenfei Xie, Xuelian Yu, Zhengxian Wang, Heng Li

Proceedings Volume 12942, 1294205 (2023) https://doi.org/10.1117/12.3005650

KEYWORDS: Phase retrieval, Reconstruction algorithms, Holography, 3D image reconstruction, Optical simulations, Mathematical optimization, Digital holography, Wave propagation

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Phase retrieval algorithms, such as the Wirtinger Flow (WF) algorithm, are widely used in various fields. As a nonconvex optimization algorithm for phase retrieval, WF is commonly employed in the reconstruction of holograms in holographic image projection. These types of algorithms typically involve two stages: an initialization stage and an iterative optimization stage. In the initialization stage, an initial value is provided, and a spectral method is used to calculate an approximate solution as the initial guess. The iterative optimization stage then utilizes the Wirtinger gradient to iteratively compute and converge the initial guess to a nearby real solution, thereby obtaining the global optimal solution. However, due to the random nature of the initial values, the computed results often exhibit significant instability. To address this issue, this paper proposes an approach based on a quadratic distribution for improving the stability of the results. In the initialization stage, the initial value is set as the quadratic distribution initial value. Then, the spectral method is applied again to calculate the initial guess. Since the quadratic distribution initial value is artificially assigned, it enhances the stability of the computed results. To validate this method, the paper applies the quadratic distribution initial value to both the initialization stage of the WF algorithm and the Truncated Amplitude Flow (TAF) algorithm. A comparison is made between the results obtained using random initial value and those obtained using the quadratic distribution initial values. The results demonstrate that compared to random initial values, the quadratic distribution initial values can achieve faster and equally accurate computation results with higher stability. Finally, this method is applied to simulation experiments of in-line digital holography, and the reconstruction results from the experiments further confirm the effectiveness of our approach.

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