Modeling of Fine Tracking Sensor for Free Space Laser Communication Systems

Hu, Zhen; Song, Zhengxun; Tong, Shoufeng; Zhao, Xin; Huang, Song; Jiang, Huilin

doi:10.1109/sopo.2009.5230084

Cited by 6 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance of the 4QD determines the capability of the fine tracking system. They must have the characters such as low hidden current, high uniformity and symmetry, security and small blind area [7]. Its operation principle is based on the conversion of optical energy to electrical energy.…”

Section: B Operating Principle Of the 4-quadrant Detectormentioning

confidence: 99%

The Design and Control of Fine Tracking Loop of ATP System for Free Space Laser Communication

Wei

Liang

Liu

2010

2010 2nd International Conference on Information Engineering and Computer Science

View full text Add to dashboard Cite

High accuracy of laser-beam pointing is crucial for reliable operation of Free Space Laser Communication. The tracking accuracy and bandwidth of rejection frequency response are directly determined by the performance of the fine tracking loop of Acquisition, Tracking and Pointing (ATP) system. In this paper, the architecture of the fine tracking system for the designing optical communication terminal is described. And each component's unique function, hardware choice and operating principle will be discussed. Furthermore, in order to track with the beacon real time and high precisely, a novel control algorithm is presented in this paper--dynamic matrix control (DMC), which performs well in tracking system and compared with traditional PID control it has many advantages such as better Robust, less demanding on the system model and better control effect.

show abstract

Section: B Operating Principle Of the 4-quadrant Detectormentioning

confidence: 99%

The Design and Control of Fine Tracking Loop of ATP System for Free Space Laser Communication

Wei

Liang

Liu

2010

2010 2nd International Conference on Information Engineering and Computer Science

View full text Add to dashboard Cite

show abstract

“…Addressing urban system complexity calls for approaches that can analyze system structure and the dynamic relations among different urban components, described by non‐linear feedback loops (Bedinger et al., 2020 ; Xin et al., 2009 ). System Thinking—operationalized through System Dynamics (SD) modeling tools—help both considering the interactions between different variables and sub‐systems and dealing with dynamic problems and their combined effects (consequently highlighting potential trade‐offs and unintended consequences) (Giordano et al., 2020 ; Khan et al., 2009 ; Senge & Sterman, 1992 ; Simonovic, 2009 ).…”

Section: Introductionmentioning

confidence: 99%

Participatory Causal Loop Diagrams Building for Supporting Decision‐Makers Integrating Flood Risk Management in an Urban Regeneration Process

Coletta,

Pagano,

Pluchinotta

et al. 2024

Earth's Future

View full text Add to dashboard Cite

Several modeling tools commonly used for supporting flood risk assessment and management are highly effective in representing physical phenomena, but provide a rather limited understanding of the multiple implications that flood risk and flood risk reduction measures have on highly complex systems such as urban areas. In fact, most of the available modeling tools do not fully account for this complexity—and related uncertainty—which heavily affects the interconnections between urban systems evolution and flood risk, ultimately resulting in an ineffective flood risk management. The present research proposes an innovative methodological framework to support decision‐makers involved in an urban regeneration process at a planning/strategic level, accounting for the multi‐dimensional implications of flood risk and of different flood risk management strategies. The adopted approach is based on the use of System Thinking principles and participatory System Dynamics modeling techniques, and pursues an integration between scientific and stakeholder knowledge. Reference is made to one of the case studies of the CUSSH and CAMELLIA projects, namely Thamesmead (London), a formerly inhospitable marshland currently undergoing a process of urban regeneration, and perceived as being increasingly vulnerable to flooding. It represents an interesting opportunity for building a replicable modeling approach to integrate urban development dynamics with flood risk, ultimately supporting policy and decision‐makers in identifying mitigation/prevention measures and understanding how they could help achieve multi‐dimensional benefits (e.g., environmental, social and economic).

show abstract

“…The impact of pointing error and AOA fluctuations on alignment is particularly important owing to the point-to-point transmission mode of spatial laser. Therefore, the technology of acquisition, tracking and pointing (ATP) is usually applied to ensure the well establishment of the FSO links [6,7]. Among the composing technologies of ATP, the measurement of pointing angle deviation is particularly This paragraph of the first footnote will contain the date on which you submitted your paper for review, which is populated by IEEE.…”

Section: Introductionmentioning

confidence: 99%

DSM-Based Precise Pointing Angle Deviation Measurement Method for Beaconless Free Space Optical Communication

Ao,

Zou,

Zou

et al. 2023

IEEE Photonics J.

View full text Add to dashboard Cite

In free space optical (FSO) communication, acquisition, tracking and pointing (ATP) is the key technology to maintain a high-quality FSO link. Specifically, the detection of pointing angle deviation greatly affects the performance of ATP, especially under weak receiving power. However, the separated beacon laser beam commonly used in ATP will increase the structural complexity of the terminal such as the size, weight, and power. It is unwanted in some limited applications such as satellite. To improve the pointing accuracy with weak signal in beaconless FSO communication, we propose a delta-sigma enabled beaconless cross-correlation (CCR) method with four-quadrant detectors. In the proposed method, a low-frequency sine analog signal for CCR calculation is modulated into a 1-bit digital signal by delta-sigma modulation and then inserted into the communication data as a training sequence. The root means square error (RMSE) of the pointing angle deviation measurement is 14.17 μrad with the incident optical power of -40 dBm. Compared with the direct intensity method, of which RMSE is 67.61 μrad, the proposed method can effectively improve the pointing accuracy with weak power without a beacon laser in FSO communication.

show abstract

Modeling of Fine Tracking Sensor for Free Space Laser Communication Systems

Cited by 6 publications

References 2 publications

The Design and Control of Fine Tracking Loop of ATP System for Free Space Laser Communication

The Design and Control of Fine Tracking Loop of ATP System for Free Space Laser Communication

Participatory Causal Loop Diagrams Building for Supporting Decision‐Makers Integrating Flood Risk Management in an Urban Regeneration Process

DSM-Based Precise Pointing Angle Deviation Measurement Method for Beaconless Free Space Optical Communication

Contact Info

Product

Resources

About