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检索条件"任意字段=2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023"

共 417 条记录，以下是61-70 订阅

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CCSDS121-based High-Performance Hardware Architecture for Real-Time data Compression

CCSDS121-based High-Performance Hardware Architecture for Re...

引用

2023 european data handling and data processing conference for space, edhpc 2023

作者： Torres-Fau, Samuel Sanchez, Antonio J. Barrios, Yubal Sarmiento, Roberto University of Las Palmas de Gran Canaria Institute for Applied Microelectronics Las Palmas35017 Spain

ISBN: (纸本)9789090379241

Imaging sensors embarked on Earth Observation satellites are increasing their acquisition capabilities in terms of resolution. The amount of data collected need to be reduced prior to be sent to ground, because of on-board storage limitations and the constrained downlink bandwidth. This results in the need of implementing compression techniques as part of the data handling system. This work presents a high-performance architecture based on the Consultative Committee for space data Systems (CCSDS) 121.0-B-3 data compression standard that is able to process collected data in real-Time and with an associated low area footprint. Starting from the basis of the Hyperspectral Lossless Compressor for space applications (SHyLoC) 3.0 CCSDS-121 IP, a highly parallelized architecture, in which an operation-based control allows the effective coordination of the independent processing pipelines, has been designed and described in VHDL. Results demonstrate that this architecture is able to process data throughputs of up to 7.776 Gbps, consuming only the 11.68% of LUTs on a Xilinx Kintex UltraScale XCKU040 FPGA and without using internal memory resources. © 2023 ESA.

关键词： data handling

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spaceflight software validation for future mission applications supported by multicore platforms

Spaceflight software validation for future mission applicati...

引用

2023 european data handling and data processing conference for space, edhpc 2023

作者： Concas, Matteo Riera, Joan Moya Fernandez Salgado, Javier Jung, Andreas Garcia, Pedro Barrios Noordwijk2200 AG Netherlands IPSA Ivry-Sur-Seine94200 France Institut Superieur de l'Aeronautique et de l'Espace Toulouse31400 France

ISBN: (纸本)9789090379241

Multicore technologies are increasingly being incorporated into mission-critical systems for space exploration, a trend notably on the rise within missions conducted by the european space Agency (ESA). While these technologies offer several benefits, they also present substantial challenges, particularly in the realm of inter-core interference. This study focuses on the validation of multicore technologies in the space domain, in accordance with the guidelines provided by the AMC 20-193. The Prospect mission being used as case study, interference mitigation strategies are deployed on the space-qualified GR740 and GP64L-QC quad-core architectures to evaluate the complexity of hosting mixed-criticality software applications on these platforms. © 2023 ESA.

关键词： space research

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Performance Evaluation of space-Grade FPGA Architectures

Performance Evaluation of Space-Grade FPGA Architectures

引用

2023 european data handling and data processing conference for space, edhpc 2023

作者： Spindeldreier, Christian Ustaoglu, Buse Kulau, Ulf Rust, Jochen DSI Aerospace GmbH Bremen Germany Hamburg University of Technology Smart Sensors Group Hamburg Germany Hamburg University of Applied Sciences Hamburg Germany

ISBN: (纸本)9789090379241

In this paper a comprehensive overview about State-of-The-Art space-Grade FPGA and SoC-FPGA platforms from AMD, Microchip, NanoXlore and Frontgrade is presented. To this end, a resource-optimized LEON3 soft-core processor system is taken into account as a core design. For evaluation, resource utilization, achievable operating frequency, power consumption as well as radiation performance are taken into account. The results clearly point out the strengths and weaknesses of all space-grade FPGAs selected as well as it helps in the assessment and selection of the optimal candidate for upcoming space applications. © 2023 ESA.

关键词： Field programmable gate arrays (FPGA)

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Current state and next generation of a systolic array SoC in space

Current state and next generation of a systolic array SoC in...

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2023 european data handling and data processing conference for space, edhpc 2023

作者： Papadas, Constantin Tsiapras, Tilemachos Wiest, Richard Katelouzos, Ioannis Papoulis, Grigorios Steenari, David Makris, Kostas Helfers, Tim Hili, Laurent ISD Athens Greece Taufkirchen Germany ISD Herakleion Greece ESA Noordwijk Netherlands

ISBN: (纸本)9789090379241

The field of space applications has always been one of the most demanding and the challenges range from low power consumption to high performance data processing capabilities and from long component lifetime to remote control and flexibility. Engineers have to exploit each attribute the hardware provides and every particular requirement has to be coupled with an adequate design choice. The use of systolic arrays in a processing units brings to the arsenal of designers the possibility to have a very flexible and easily programmable solution, capable of performing parallelization of the most advanced and complex algorithms. After a brief description of the state-of-The-Art HPDP chip and its multichip processing node, we will describe the next version of the device currently under design. © 2023 ESA.

关键词： data handling

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Characterisation of RFSoC Gen 3 data converters for satellite RF payloads

Characterisation of RFSoC Gen 3 data converters for satellit...

引用

2023 european data handling and data processing conference for space, edhpc 2023

作者： Therkelsen, Magnus Oksbol Peca, Marek Thurnes, Dirk Radio Frequency Payloads and Technology Division Noordwijk Netherlands

ISBN: (纸本)9789090379241

This research paper presents a meticulous characterization of the integrated RF data converters - specifically, the RF-ADC and RF-DAC cores - in the Xilinx Zynq UltraScale+ RFSoC XCZU48DR device. The study was conducted using the ZCU208 evaluation board and adhered to IEEE standards for empirical analysis. The motivation for this research stems from the evolving requirements in satellite communications and microwave remote sensing, which necessitate a transition from traditional payload architectures to more flexible digital RF chains and Software-Defined Radios (SDRs). The paper provides empirical data on key performance metrics such as Effective Number of Bits (ENOB), Total Harmonic Distortion (THD), and Spur-Free Dynamic Range (SFDR) across a range of frequencies. The findings contribute to a deeper understanding of the capabilities and limitations of these data converters, thereby serving as a resource for future research and practical applications in advanced RF systems. © 2023 ESA.

关键词： IEEE Standards

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A Hitchhiker's Guide to Neural Network Design for Onboard Deployment in space

A Hitchhiker's Guide to Neural Network Design for Onboard De...

引用

2023 european data handling and data processing conference for space, edhpc 2023

作者： Benoot, Wouter EDGX Ghent Belgium

ISBN: (纸本)9789090379241

The convergence of Artificial Intelligence (AI) with satellite technology is ushering in a new era of possibilities for space exploration. Onboard integration of AI emerges as a game-changer amidst the astonishing maturation of AI and the rise of small satellites. However, designing Machine Learning (ML) models for onboard applications presents unique challenges that differ from their on-ground counterparts. This paper explores the underlying differences from a model-centric point of view, such as hardware integration, memory constraints, power consumption, and radiation effects. By addressing these critical challenges, this work aims to foster the growth and accessibility of the industry. The guidelines outlined in this paper distil insights and strategies from relevant publications to integrate neural networks (NNs) into satellites. Ultimately, the goal is to enable multi-disciplinary teams to collaborate throughout the entire production line, empowering the next generation of satellite technology. With the convergence of AI and satellite technology, the possibilities for space exploration are endless. © 2023 ESA.

关键词： Machine learning

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On Board data Analysis and Realtime Information System

On Board Data Analysis and Realtime Information System

引用

2023 european data handling and data processing conference for space, edhpc 2023

作者： Kurt, Schwenk Herschmann, Daniel 82234 Germany

ISBN: (纸本)9789090379241

For many information applications like alarming services or surveillance systems, reactivity is a very important criterion. This is also true for many applications based on satellite data, for example in the field of remote sensing or space system operation. These applications are currently bottlenecked by classical satellite operation, where contact to the satellite is only established within a few communication windows, when the satellite is in reach of an assigned ground station. The amount of time between collection of the data on the space system and having it available for ground-users can take from several hours up to *** our institution, we are working on a cost-efficient method to decrease the latency until information, derived from satellite data, becomes available for usage on ground. The basic approach is trying to utilizing satellite based low-latency real-time telecommunication networks, designed for ground-based satellite phone usage in combination with on board information extraction. Information extraction on the satellite will be necessary as the telecommunication networks only offer a very limited data-transfer bandwidth in the range of a few hundred bytes and the transmission of raw sensor data is not possible. © 2023 ESA.

关键词： Quality of service

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High-Level Synthesis-Based On-board Payload data processing considering the Roofline Model

High-Level Synthesis-Based On-board Payload Data Processing ...

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2023 european data handling and data processing conference for space, edhpc 2023

作者： Lee, Seungah Sentieys, Olivier Salvador, Ruben Galizzi, Julien Kritikakou, Angeliki Casseau, Emmanuel Univ Rennes Inria CNRS IRISA France Inria Univ Rennes CNRS IRISA Centrale Supelec France CNES France

ISBN: (纸本)9789090379241

On-board payload data processing can be performed by developing space-qualified heterogeneous Multiprocessor System-on-Chips (MPSoCs). We present key compute-intensive payload algorithms, based on a survey with space science researchers, including the two-dimensional Fast Fourier Transform (2-D FFT). Also, we propose to perform design space exploration by combining the roofline performance model with High-Level Synthesis (HLS) for hardware accelerator architecture design. The roofline model visualizes the limits of a given architecture regarding Input/Output (I/O) bandwidth and computational performance, along with the achieved performance for different implementations. HLS is an interesting option in developing FPGA-based on-board processing applications for payload teams that need to adjust architecture specifications through design reviews and have limited expertise in Hardware Description Languages (HDLs). In this paper, we focus on an FPGA-based MPSoC thanks to recently released radiation-hardened heterogeneous embedded platforms. © 2023 ESA.

关键词： System-on-chip

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The Development of an Onboard processing Environment within the Flexible and Intelligent Payload Chain Sub-system for Small EO Satellites

The Development of an Onboard Processing Environment within ...

引用

2023 european data handling and data processing conference for space, edhpc 2023

作者： Davidson, Rebecca Diaz, Alejandro Hernandez Simons, Ed Hadfield, Simon Bridges, Christopher Ireland, Murray Surrey Satellite Technology Ltd On-Board Data Handling Team Guildford United Kingdom Univeristy of Surrey Surrey Space Centre Guildford United Kingdom Surrey Satellite Technology Ltd Flight Software Team Guildford United Kingdom University of Surrey Centre for Vision Speech and Signal Processing Guildford United Kingdom Craft Prospect Limited Autonomous Systems Glasgow United Kingdom

ISBN: (纸本)9789090379241

Advancements in onboard data processing capabilities of small EO satellites represent an avenue for mission integrators, satellite customers and end-users alike to maximise the return on investment of space-borne remote sensing platforms. Surrey Satellite Technology Limited's (SSTL's) Flexible and Intelligent Payload Chain (FIPC) subsystem is an integrated solution which aims to address the data bottleneck challenges of small EO satellites, leveraging capabilities which include onboard data processing. This publication describes SSTL's recent coupled developments in the FIPC space segment, towards a tightly integrated hardware architecture;a new Linux-based custom onboard processing environment;and an end-user segment with a tailored Application Development Framework. Together these facilitate the deployment of in-house and third-party developed software onboard processing Applications and pipelines, including those which exploit machine learning (ML) libraries and frameworks. © 2023 ESA.

关键词： Computer operating systems

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A Synthetic Image data Generation Pipeline for spacecraft Fly-by Scenarios

A Synthetic Image Data Generation Pipeline for Spacecraft Fl...

引用

2023 european data handling and data processing conference for space, edhpc 2023

作者： Dengel, Ric Pajusalu, Mihkel Tartu University Tartu Observatory Tartu Estonia

ISBN: (纸本)9789090379241

Accessible, high-quality datasets for machine learning activities remain limited to this date. Especially for space applications, this is relevant, but even more difficult is it for exploration missions, where the data to be obtained is not known beforehand. To reduce this lack of data, this work proposes a pipeline for automatic realistic data generation for fly-by scenarios such as planned for ESA's Comet Interceptor mission. The pipeline consists of two components. First, creating digital models of the nucleus and dust cloud using Blender and second, adding camera artefacts with Python. The camera artefacts considered here are radiation effects, image fractures, pixel errors, thermal noise, and dark current. The goal of the pipeline is to generate realistic data with camera artefacts to supplement the limited available real image footage. Additionally, the synthetic generation of data with random combinations of factors will allow to cover many possible scenarios, for example, irregular body shapes like was observed during ESA's Rosetta mission. The generated data will be used to train efficient neural networks to be deployed on-board spacecrafts' future processing systems which enable increased data reduction capabilities in space. The pipeline is also designed to create data to verify the system's behaviour in certain scenarios. © 2023 ESA.

关键词： Pipelines

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