Wireless ultraviolet light MIMO assisted UAV direction perception and collision avoidance method

Zhao, Taifei; Yao, Jiatong; Gong, Chunjie; Wang, Yiqiong

doi:10.1016/j.phycom.2022.101815

Cited by 7 publications

(2 citation statements)

References 15 publications

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“…The experimental results show that equalgain combining can provide significant diversity gain, provided that the transmit elevation angle is small or the transceiver distance is short. In [31], wireless UV communication is applied to UAV communication systems to solve the problem of directional awareness. In [32], the spatial diversity technique for the NLOS UV system is investigated, and the BER for different transmitter and receiver configurations is derived.…”

Section: Related Workmentioning

confidence: 99%

A Poisson Shot Noise Limited MMSE Precoding for Photon-Counting MIMO Systems with Reinforcement Learning

Li,

Zhou,

Wan

et al. 2023

Applied Sciences

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With the development of the Internet of Things (IoT), most communication systems are difficult to implement on a large scale due to their high complexity. Multiple-input multiple-output (MIMO) precoding is a generally used technique for improving the reliability of free-space optical (FSO) communications, which is a key technology in the 6G era. However, traditional MIMO precoding schemes are typically designed based on the assumption of additive white Gaussian noise (AWGN). In this paper, we present a novel MIMO precoding method based on reinforcement learning (RL) that is specifically designed for the Poisson shot noise model. Unlike traditional MIMO precoding schemes, our proposed scheme takes into account the unique statistical characteristics of Poisson shot noise. Our approach achieves significant performance gains compared to existing MIMO precoding schemes. The proposed scheme can achieve the bit error rate (BER) of 10−5 in a strong turbulence channel and exhibits superior robustness against imperfect channel state information (CSI).

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Section: Related Workmentioning

confidence: 99%

A Poisson Shot Noise Limited MMSE Precoding for Photon-Counting MIMO Systems with Reinforcement Learning

Li,

Zhou,

Wan

et al. 2023

Applied Sciences

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“…Although the VT method efectively smooths the paths, many virtual targets need to be designed for spiral path planning, which afects the efciency of path planning. Tus, Zhao proposed an improved artifcial potential feld (IAPF) method (state-of-the-art) with designed additional gravity according to the direction of the local minimum point [34]. Although the IAPF method can efectively jump out of the local minimum point, the cost is that there are redundant path points on some paths, which reduces the smoothness of the planning results and increases unnecessary movement.…”

Section: Introductionmentioning

confidence: 99%

The Path Planning and Location Method of Inspection Robot in a Large Storage Tank Bottom

Wang

Zhu

et al. 2023

Computational Intelligence and Neuroscience

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With the development of robot technology, inspection robots have been applied to the defect detection of large tanks. However, the existing path planning algorithm of the tank bottom detection robot is easy to fall into the local minimum, and the path is not smooth. Besides, the positioning of the tank bottom detection robot is not accurate. This article proposes a path planning and location algorithm for the large tank bottom detection robot. Specifically, we design a preset spiral path according to the shape of the tank bottom, and a rotating potential field (RPF) near the obstacle is added to avoid the problem of path planning falling into a local minimum. We obtained accurate and smooth planning results. Compared with the state-of-the-art, the RPF method reduced the average RMSE by 9.49%. In addition, by measuring the acoustic emission distance, the three-point positioning algorithm can be used to achieve the calculation of the robot position detection in the proposed method, and the average positioning error on the spiral path is only 0.0748 ± 0.0032.

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Multi-evader dynamic pursuit strategy based on improved AAPC and auction algorithm amidst static and dynamic obstacles

Chen,

Zhang,

et al. 2025

Expert Systems with Applications

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Wireless ultraviolet light MIMO assisted UAV direction perception and collision avoidance method

Cited by 7 publications

References 15 publications

A Poisson Shot Noise Limited MMSE Precoding for Photon-Counting MIMO Systems with Reinforcement Learning

A Poisson Shot Noise Limited MMSE Precoding for Photon-Counting MIMO Systems with Reinforcement Learning

The Path Planning and Location Method of Inspection Robot in a Large Storage Tank Bottom

Multi-evader dynamic pursuit strategy based on improved AAPC and auction algorithm amidst static and dynamic obstacles

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