Developing A Highly Accurate Pointing System for Free Space Optical Communications

Stepanova, Daria; Pryanichnikov, Valentin; Khandorin, Sergey; Kulchitsky, Andrey; Kuznetsov, Alexey

doi:10.12720/jcm.14.12.1127-1133

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…The field programming gate array (FPGA) implementation for the algorithm enhanced the pointing and tracking accuracy by reducing the control system latency. Also, (Stepanova et al 2019) is concerned with the precise pointing and tracking through integrating image processing algorithm with an advanced RISC machine (ARM)-FPGA implementation. It investigated the PAT system from a mass, cost, and size point of view.…”

Section: Visual Tracking Approachesmentioning

confidence: 99%

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A review on pointing, acquisition, and tracking approaches in UAV-based fso communication systems

2022

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The challenge of tracking unmanned aerial vehicles (UAVs) is arising out of increasing their market and spread usage in many applications. Miscuing UAVs can lead to potential threats as they are considered an essential part of national security. One of the major issues in communication with UAVs is the enormous amount of data generated by UAVs that requires a high data rate link, making the free space optics (FSO) communication, with very high bandwidth, an appropriate choice. Consequently, current developments in UAVs have provided new horizons for establishing UAV-based FSO links. However, FSO is a narrow line of sight (LoS) technology that is highly affected by the misalignment between the transmitter and receiver. So, tracking mechanisms are of vital importance when considering UAV-based FSO communication systems. This paper addresses coarse to fine pointing, acquisition, and tracking (PAT) approaches and the recently developed tracking approaches to establish a reliable link for communication. Also, the various approaches are discussed and compared for precise alignment between the ground station and its associated UAV, highlighting their advantages and limitations. Current challenges and future research directions are addressed and integrated by combining different ideas.

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Section: Visual Tracking Approachesmentioning

confidence: 99%

“…Visual tracking approaches (Quintana et al 2016(Quintana et al , 2021Trinh et al 2021;Carrasco-Casado et al 2011a, b;Ortiz et al 2003;Xiu et al 2020;Ryu et al 2018;Talmor et al 2016;Stepanova et al 2018Stepanova et al , 2019.…”

Section: Beam Tracking Approachmentioning

confidence: 99%

A review on pointing, acquisition, and tracking approaches in UAV-based fso communication systems

2022

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“…Other algorithms do not provide the required image processing speed. Several works have evaluated the noise characteristics of centroid detection algorithms, but do not take into account the complexity of their implementation on FPGAs and do not allow splitting the image into blocks to speed up the process (Zhou et al, 2016), (Stepanova et al, 2019). Some algorithms for an optical spot determination described in (Boev et al, 2015) take into account noise characteristics comparison.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based Image Processing Laser Spot Detection Algorithm Implementation for the Optical Guidance System

Stepanova¹,

Pryanichnikov²

2020

DAAAM International Scientific Book

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The task of high precision instrumentation pointing is critical for robotic systems and mobile platforms. The pointing accuracy and stability can be significantly improved by introducing an optical spot detector for feedback in the tracking control loop. Several points affect the performance of such machine vision systems. The key factors are the time delay between sensors readings and the control signal generation. The standard approach is to use the centroid algorithm implementation on the processor system to perform computation and generate a control signal. This might block other commands from execution until all output image has been saved to the device's internal memory. While it is possible to use an external computational module for this task, this approach increases the system cost and complexity. In this work, an approach to image processing and the optical spot centroid search is implemented using parallel processing of pixel blocks after receiving them from the sensor is discussed together with its implementation on FPGA. This approach provides the acceleration in processing speed and thus increase the pointing accuracy of the system.

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Multi-tag Information Interactive Communication Model based on Precise Position Detection in Vehicle-Infrastructure Collaboration Environment

Yatao

Sijie

Gao

et al. 2020

2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)

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Developing A Highly Accurate Pointing System for Free Space Optical Communications

Cited by 3 publications

References 10 publications

A review on pointing, acquisition, and tracking approaches in UAV-based fso communication systems

A review on pointing, acquisition, and tracking approaches in UAV-based fso communication systems

FPGA-Based Image Processing Laser Spot Detection Algorithm Implementation for the Optical Guidance System

Multi-tag Information Interactive Communication Model based on Precise Position Detection in Vehicle-Infrastructure Collaboration Environment

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