Analytical field-of-regard representation for rapid and accurate prediction of agile satellite imaging opportunities

Wang, Huijiang; Chen, Han; Sun, Xiucong

doi:10.1117/1.jatis.5.3.037001

Cited by 12 publications

(3 citation statements)

References 22 publications

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“…For a practical implementation of the proposed method, the network server or system coordinator must know the trajectory of the LEO satellite and the location of the IoT devices. First, we note that satellite visibility can be predicted with great accuracy using techniques from the perspective of either the LEO satellite [28]- [30] or the ground nodes [31]- [33]. Furthermore, the location of the devices can be informed to the network server during the installation and registration of each IoT device.…”

Section: Practical Considerationsmentioning

confidence: 99%

Multiple Channel LoRa-to-LEO Scheduling for Direct-to-Satellite IoT

Tondo,

Afhamisis,

Montejo-Sánchez

et al. 2024

IEEE Access

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The exponential growth of Internet of Things (IoT) applications led to the deployment of IoT devices in remote areas beyond the reach of terrestrial networks, calling for satellite network solutions. Indeed, Low-Earth Orbit (LEO) satellites can provide global connectivity to direct-to-satellite (DtS)-IoT applications, with remarkable impact in several areas, as environmental monitoring, precision agriculture, and disaster prevention. One of the key challenges in DtS-IoT is supporting energy and spectral efficient multiple access, which has attracted a lot of attention recently. This work presents two novel multipleaccess scheduling strategies for DtS-IoT networks, both inspired by the scheduling algorithm for LoRa to LEO satellites (SALSA). The latter prevents collisions by applying a first-come-first-served (FCFS) policy to allocate dedicated time slots according to the devices' rise times. However, the effectiveness of SALSA decreases in high-density scenarios, for which the visibility time of many devices is insufficient to successfully schedule their transmission. In the proposed scheduling methods, we take advantage of the availability of multiple frequency channels and the ability to change the transmission scheduling order of some devices within a visibility time window to improve uplink efficiency. The numerical results show that the average number of uplinks per lap and per visible device increases with the number of available channels, providing an improvement of almost 80% in terms of system uplink efficiency, and the proposed scheduling methods are more effective with smaller packet sizes. Additionally, we explore that the fusion of both scheduling strategies can further boost the system performance while guaranteeing an uplink efficiency greater than 50%, as elucidated across the implementation algorithms with four, six, and eight multiple channels.INDEX TERMS Internet of Things (IoT), Low-Earth Orbit (LEO) satellites, LoRa, medium access control, multiple channels.

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Section: Practical Considerationsmentioning

confidence: 99%

Multiple Channel LoRa-to-LEO Scheduling for Direct-to-Satellite IoT

Tondo,

Afhamisis,

Montejo-Sánchez

et al. 2024

IEEE Access

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“…The TM method can get the accurate VTW; however, it appears laborious and inefficient for more and more space missions. The dramatic increase in space missions urgently requires improving computational efficiency, which has received extensive attention from researchers (also visit other articles such as Han et al, 2017;Han et al, 2019;Han et al, 2021;Nugnes et al, 2019;Ulybyshev, 2014;Wang et al, 2019aWang et al, , 2019bWu andPalmer, 2002 andYang et al, 2009). Some detailed literature reviews on this topic using the numerical method.…”

Section: Introductionmentioning

confidence: 99%

“…Some detailed literature reviews on this topic using the numerical method. For example, in Han et al (2017) and Wang et al (2019aWang et al ( , 2019b, the Hermite interpolation technique is used for rapid satellite-to-target visibility determination. A novel method was presented for calculating the satellite-ground visibility periods for an arbitrary field of view (FOV) of the sensor by Han et al (2021).…”

Section: Introductionmentioning

confidence: 99%

Visible time window calculation based on map segmentation for task planning

Wang,

Zhao,

Yang

et al. 2023

AEAT

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Purpose The visible time window (VTW) calculation of satellites to ground targets is significant for Earth observation satellites' operation management and control. With the improvement of satellite maneuvering capability and the complexity of on-orbit observation tasks, the traditional VTW calculation methods can no longer meet the demands of satellite operation management and control due to a large amount of calculation and low efficiency. The purpose of this study is to propose a fast VTW calculation method based on map segmentation named map segmentation method (MSM), to improve the calculation efficiency, and further solve this problem. Design/methodology/approach The main feature of the MSM method is to segment the map and subsatellite trajectories and traverse the subsatellite points within a specific range around the target, significantly reducing the search space and the amount of computation and improving computational efficiency. Findings Numerical simulations for two satellite orbits are implemented to verify the feasibility of the proposed VTW calculation method, and the traditional traversal method (TM) is also performed for comparative analysis. The results show that the proposed method can obtain the same VTW, using less calculation time than the TM. The computational efficiency is significantly improved, especially for many tasks. The calculation time of observing 500 targets is saved by more than 70%, indicating a broad application prospect. Originality/value This paper proposes an original VTW calculation method based on map segmentation to improve the calculation efficiency. The simulation scenarios are designed to verify the accuracy and effectiveness of the proposed method, and the observation targets are randomly distributed on the map. For comparative analysis, the TM is also performed under the same simulation conditions.

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