Mr. Huan Li Profile

Huan Li

at Beijing Institute of Technology

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Publications (4)

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Proceedings Article | 10 May 2019 Paper

Research on ultraviolet imaging detection of high-speed aircrafts

Yan-mei Zhang, Huan Li, Cheng-cheng Yu, Chao Ji, Hai-chao Guo

Proceedings Volume 11068, 110682J (2019) https://doi.org/10.1117/12.2524741

KEYWORDS: Ultraviolet radiation, Scattering, Absorption, Atmospheric particles, Ultraviolet detectors

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Ultraviolet spectroscopy analysis of aircraft plume region is a new breakthrough in high-speed aircrafts detection technology. The main difficulty lies in obtaining spectral information and flow field information of aircraft plume. Firstly, based on the high-temperature radiation of high-temperature alumina particles and the secondary combustion theory of unburned fuel, the flow field of the tail flame is simulated. The simulation chamber adopts a variety of solutions and network convergence methods. The temperature, pressure and gas density distribution of the tail flame field can be obtained by simulating the tail flame flow field. Secondly, the atmospheric channel characteristics of ultraviolet detection are studied in this paper. The calculation of spectral irradiance of the plume target and the earth background ultraviolet radiation reaching the pupil of the camera is very important for the design of the detection system. Combining the absorption and scattering characteristics of the atmosphere to the ultraviolet wave band, the ultraviolet imaging detection scheme for the target tail flame is established. For the research of ultraviolet detection channel, the atmospheric radiation transmission software MODTRAN is selected to carry on the preliminary simulation research. The absorption and scattering of all atmospheric molecules and the absorption and scattering effects of aerosols and clouds are calculated by calculating the path transmittance, atmospheric emissivity, single or multiple scattering of solar and lunar emissivity and direct transmission of solar radiation.

Proceedings Article | 19 October 2016 Paper

High speed sampling circuit design for pulse laser ranging

Rui-hai Qian, Xuan-yi Gao, Yan-mei Zhang, Huan Li, Hai-chao Guo, Xiao-kang Guo, Shi-jie He

Proceedings Volume 10153, 101531A (2016) https://doi.org/10.1117/12.2247533

KEYWORDS: Pulsed laser operation, Ranging, Laser development

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In recent years, with the rapid development of digital chip, high speed sampling rate analog to digital conversion chip can be used to sample narrow laser pulse echo. Moreover, high speed processor is widely applied to achieve digital laser echo signal processing algorithm. The development of digital chip greatly improved the laser ranging detection accuracy. High speed sampling and processing circuit used in the laser ranging detection system has gradually been a research hotspot. In this paper, a pulse laser echo data logging and digital signal processing circuit system is studied based on the high speed sampling. This circuit consists of two parts: the pulse laser echo data processing circuit and the data transmission circuit. The pulse laser echo data processing circuit includes a laser diode, a laser detector and a high sample rate data logging circuit. The data transmission circuit receives the processed data from the pulse laser echo data processing circuit. The sample data is transmitted to the computer through USB2.0 interface. Finally, a PC interface is designed using C# language, in which the sampling laser pulse echo signal is demonstrated and the processed laser pulse is plotted. Finally, the laser ranging experiment is carried out to test the pulse laser echo data logging and digital signal processing circuit system. The experiment result demonstrates that the laser ranging hardware system achieved high speed data logging, high speed processing and high speed sampling data transmission.

Proceedings Article | 19 October 2016 Paper

Improved pulse laser ranging algorithm based on high speed sampling

Xuan-yi Gao, Rui-hai Qian, Yan-mei Zhang, Huan Li, Hai-chao Guo, Shi-jie He, Xiao-kang Guo

Proceedings Volume 10153, 1015316 (2016) https://doi.org/10.1117/12.2247342

KEYWORDS: Ranging, Pulsed laser operation, Optical filters

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Narrow pulse laser ranging achieves long-range target detection using laser pulse with low divergent beams. Pulse laser ranging is widely used in military, industrial, civil, engineering and transportation field. In this paper, an improved narrow pulse laser ranging algorithm is studied based on the high speed sampling. Firstly, theoretical simulation models have been built and analyzed including the laser emission and pulse laser ranging algorithm. An improved pulse ranging algorithm is developed. This new algorithm combines the matched filter algorithm and the constant fraction discrimination (CFD) algorithm. After the algorithm simulation, a laser ranging hardware system is set up to implement the improved algorithm. The laser ranging hardware system includes a laser diode, a laser detector and a high sample rate data logging circuit. Subsequently, using Verilog HDL language, the improved algorithm is implemented in the FPGA chip based on fusion of the matched filter algorithm and the CFD algorithm. Finally, the laser ranging experiment is carried out to test the improved algorithm ranging performance comparing to the matched filter algorithm and the CFD algorithm using the laser ranging hardware system. The test analysis result demonstrates that the laser ranging hardware system realized the high speed processing and high speed sampling data transmission. The algorithm analysis result presents that the improved algorithm achieves 0.3m distance ranging precision. The improved algorithm analysis result meets the expected effect, which is consistent with the theoretical simulation.

Proceedings Article | 15 October 2015 Paper

Clutter discrimination algorithm simulation in pulse laser radar imaging

Yan-mei Zhang, Huan Li, Hai-chao Guo, Xuan Su, Fule Zhu

Proceedings Volume 9674, 967409 (2015) https://doi.org/10.1117/12.2196933

KEYWORDS: Detection and tracking algorithms, LIDAR, Pulsed laser operation, Computer simulations, Optical simulations, Algorithm development, Optical filters, Radar imaging, Semiconductor lasers, Signal processing

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Pulse laser radar imaging performance is greatly influenced by different kinds of clutter. Various algorithms are developed to mitigate clutter. However, estimating performance of a new algorithm is difficult. Here, a simulation model for estimating clutter discrimination algorithms is presented. This model consists of laser pulse emission, clutter jamming, laser pulse reception and target image producing. Additionally, a hardware platform is set up gathering clutter data reflected by ground and trees. The data logging is as clutter jamming input in the simulation model. The hardware platform includes a laser diode, a laser detector and a high sample rate data logging circuit. The laser diode transmits short laser pulses (40ns FWHM) at 12.5 kilohertz pulse rate and at 905nm wavelength. An analog-to-digital converter chip integrated in the sample circuit works at 250 mega samples per second. The simulation model and the hardware platform contribute to a clutter discrimination algorithm simulation system. Using this system, after analyzing clutter data logging, a new compound pulse detection algorithm is developed. This new algorithm combines matched filter algorithm and constant fraction discrimination (CFD) algorithm. Firstly, laser echo pulse signal is processed by matched filter algorithm. After the first step, CFD algorithm comes next. Finally, clutter jamming from ground and trees is discriminated and target image is produced. Laser radar images are simulated using CFD algorithm, matched filter algorithm and the new algorithm respectively. Simulation result demonstrates that the new algorithm achieves the best target imaging effect of mitigating clutter reflected by ground and trees.

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