PMT gain self-adjustment system for high-accuracy echo signal detection

Zhou, Guoqing; Xu, Chao; Zhang, Haotian; Zhou, Xiang; Zhao, Dawei; Wu, Gongbei; Lin, Jinchun; Liu, Zhexian; Yang, Jiazhi; Nong, Xueqin; Zhang, Lieping

doi:10.1080/01431161.2022.2155089

Cited by 35 publications

(12 citation statements)

References 41 publications

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“…This paper uses MATLAB to carry out a simulation experiment. The USV used in the experiment is a bathymetric LiDAR USV developed by our research group [8][9][10][11] . The length of the USV is 1.7m, the width is 0.9m, the height is 0.36m, the weight is 32kg, and the draft is 0.12m.…”

Section: Methodsmentioning

confidence: 99%

An integral-differential LOS algorithm for USV path-tracking control

Zhou,

Lin,

et al. 2023

International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023)

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The path-tracking method of the unmanned surface vehicle (USV) consists of guidance law and heading control. For solving the problem that the LOS guidance law leads to low path-tracking accuracy, this paper proposes an integraldifferential LOS (IDLOS). The proposed algorithm innovatively introduces the adaptive integral term and the differential term on the LOS. The integration term can improve the convergence speed of the USV. The differential term can reduce the overshoot. Therefore, the USV can quickly approach the desired path and improve the accuracy of path-tracking. To verify the accuracy of the IDLOS algorithm, simulation experiments are conducted in MATLAB in this paper. The results are as follows. The convergence time of the IDLOS algorithm is 1.4s faster than that of LOS. The overshoot of IDLOS is about 13 times lower than that of ILOS (integral LOS). IAE (integral absolute error) of the cross-track error of IDLOS decreased by about 0.89 compared with LOS.

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Section: Methodsmentioning

confidence: 99%

An integral-differential LOS algorithm for USV path-tracking control

Zhou,

Lin,

et al. 2023

International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023)

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“…The underwater and surface signals from the channel are collected and stored through optical channels, PMT detectors, APD detectors, and laser echo signal collectors and other electronic equipment, followed by waveform decomposition, High-precision time identification and position calculation to achieve high-precision point cloud data generation and processing [9,[23][24][25] .…”

Section: Data Sampling and Processingmentioning

confidence: 99%

Overview of ocean bathymetric LiDAR

Xu,

Liu,

Zhou

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies

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Ocean bathymetric LiDAR relies on high efficiency, high precision, fast, safe, etc. characteristics, can used to conveniently acquire underwater terrain data, ocean surface laser scattering, near-coastal engineering, and detection of underwater mines and other targets. So, the United States, Canada, Australia, etc., have competed to develop ocean bathymetric LiDAR. Laser energy, laser repetition frequency, max sounding depth, min sounding depth, point cloud density and vertical accuracy have been greatly improved. Because the problems of large size, heavy weight, and the need to carry manned aircraft platforms and airport runways of this LiDAR, the United States, Austria and China have begun to study single-frequency LiDAR that are small in size, light in weight, capable of carrying UAV platforms, and take off anytime, anywhere.

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“…With the received pilot tones , the estimated channel coefficients at pilot tones can be calculated by different metrics 20 , e.g., the least-square (LS) channel estimation 21 , and the minimum mean square error (MMSE) channel estimation 22 . The LS estimation method has been widely adopted for its simplicity.…”

Section: Preliminariesmentioning

confidence: 99%

A new pilot shared method for saving bandwidth cost of OFDM

Ali,

Zheng,

Jiao

2024

Sci Rep

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The orthogonal frequency division multiplexing (OFDM) system applies coherent demodulation to achieve high spectral efficiency at a bandwidth cost by the pilot tones. Considering the statistical property of the down-link channels to the users, it can be found that there is an opportunity to reduce the pilot number in the conventional designs while maintaining the same signal demodulation performances. The design philosophy involves utilizing the difference of the channel coherent bandwidths (CCBs) by allocating data to appropriate positions upon the fact that different CCBs can tolerate different minimized pilot spacing. The proposed design allows each user’s equipment’s data not to exceed its CCB with the sparser pilots. The theoretical analysis is carried out based on the concept of channel frequency response using linear interpolation with channel estimation employing the least squares (LS) method. The gain of the proposed method is demonstrated in terms of the ergodic capacities and confirmed by the simulations.

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PMT gain self-adjustment system for high-accuracy echo signal detection

Cited by 35 publications

References 41 publications

An integral-differential LOS algorithm for USV path-tracking control

An integral-differential LOS algorithm for USV path-tracking control

Overview of ocean bathymetric LiDAR

A new pilot shared method for saving bandwidth cost of OFDM

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