Numerical study of infrared radiation characteristics of a boost-gliding aircraft with reaction control systems

Niu, Qinglin; Yang, Sen; Zhang, He; Dong, Shikui

doi:10.1016/j.infrared.2018.06.033

Cited by 20 publications

(10 citation statements)

References 39 publications

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“…Figure 4 outlines the overall data pipeline. Important to note is, that this pipeline and chapter only refers to the nominal operational levels five (5) and six (6) as defined by the levels of success (refer chapter 2.1). Key characteristic of these levels is, that only processed data is stored and downlinked to save storage capacity.…”

Section: Mosaic's Data Piplinementioning

confidence: 99%

“…43 HGVs have a strong radiation signature in the MWIR spectrum during their glide phase. 2,4,5,44 Although this signature is comparatively strong due to their high surface temperature, the detection of these vehicles presents unique challenges. On the contrary, considering the typical use-cases for object detection and tracking applications from satellite imagery, certain favourable conditions can be identified.…”

Section: Infrared Data Pipelinementioning

confidence: 99%

“…A promising approach to detect such objects is the space-based sensing of their characteristic thermal radiation, which is emitted from their aerothermodynamically heated surface while gliding through the Earth's atmosphere. 2,4,5 The characteristics of HGVs, as described above, make it necessary to implement real-time tracking to increase the duration of visibility. This, in turn, will improve the reliability of the results.…”

Section: Introductionmentioning

confidence: 99%

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Data pipeline of a multi-spectral satellite experiment for object detection and artificial intelligence-based processing

Müller,

Swami,

Haser

et al. 2023

Automatic Target Recognition XXXIII

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Recent developments in the military domain introduce the need to detect and track hypersonic glide vehicles in Earth's atmosphere.The Multispectral Object Sensing by Artificial Intelligence-processed Cameras (MOSAIC) experiment is part of the small-satellite ATHENE-1 of the Universität der Bundeswehr München. The primary scientific objective of MOSAIC is to demonstrate reliable detection, identification a nd t racking o f h ypersonic g lide v ehicles using primarily a cooled infrared camera and complementary a visual camera. To cope with a large amount of data from both high-resolution cameras in real-time, state-of-the-art computer vision on-board processing methods are used for detection and tracking. The secondary scientific objective is to investigate the efficiency and reliability of Artificial Intelligence (AI) based image processing algorithms and data compression for space a pplications. This is of particular importance given the high volumes and rates of data. The application of such algorithms requires a reliable and resource-efficient On -Board Co mputer (O BC) th at ca n wi thstand th e ha rsh sp ace environment. The approach outlined in this paper envisions a dedicated OBC to manage the AI-based experiments of the satellite, called the Artificial Intelligence capable On-Board Computer ( AI-OBC). The AI-OBC includes multiple hardware-based AI accelerators to meet the computational requirements and ensure real-time processing for object detection and tracking. This paper describes the structure of the data processing pipeline and includes the AI-OBC architecture with its connections to both the cameras and the platform's OBC. Further, the study discusses the training and validation steps of the intended use-cases.

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Section: Mosaic's Data Piplinementioning

confidence: 99%

Section: Infrared Data Pipelinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Data pipeline of a multi-spectral satellite experiment for object detection and artificial intelligence-based processing

Müller,

Swami,

Haser

et al. 2023

Automatic Target Recognition XXXIII

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“…Thus, the LOS method was applied in this study due to a compromise between computational cost and accuracy. The LOS method was introduced in our previous studies [5,38]. LOS starts with a surface element, and the surface emission I λ,sur can be treated as the initial value of the RTE.…”

Section: Optical Radiative Properties Of High-temperature Surfacesmentioning

confidence: 99%

Infrared Optical Observability of an Earth Entry Orbital Test Vehicle Using Ground-Based Remote Sensors

et al. 2019

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Optical design parameters for a ground-based infrared sensor rely strongly on the target’s optical radiation properties. Infrared (IR) optical observability and imaging simulations of an Earth entry vehicle were evaluated using a comprehensive numerical model. Based on a ground-based IR detection system, this model considered many physical mechanisms including thermochemical nonequilibrium reacting flow, radiative properties, optical propagation, detection range, atmospheric transmittance, and imaging processes. An orbital test vehicle (OTV) was selected as the research object for analysis of its observability using a ground-based infrared system. IR radiance contours, maximum detecting range (MDR), and thermal infrared (TIR) pixel arrangement were modeled. The results show that the distribution of IR radiance is strongly dependent on the angle of observation and the spectral band. Several special phenomena, including a strong receiving region (SRR), a characteristic attitude, a blind zone, and an equivalent zone, are all found in the varying altitude MDR distributions of mid-wavelength infrared (MWIR) and long-wavelength infrared (LWIR) irradiances. In addition, the possible increase in detectivity can greatly improve the MDR at high altitudes, especially for the backward and forward views. The difference in the peak radiance of the LWIR images is within one order of magnitude, but the difference in that of the MWIR images varies greatly. Analyses and results indicate that this model can provide guidance in the design of remote ground-based detection systems.

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“…Ref. [5][6][7] illustrated that at Mach 6, the skin temperature may exceed 900 K, and the leading edge temperature will easily exceed 1000 K, which presents significant challenges for thermal protection. Thermal protection system (TPS) can provide hypersonic vehicles the thermal insulation from the aerodynamic heating [5,8,9].…”

Section: Introductionmentioning

confidence: 99%

CFD Simulation Strategy for Hypersonic Aerodynamic Heating around a Blunt Biconic

Chen

2021

International Journal of Aerospace Engineering

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The design of the thermal protection system requires high-precision and high-reliability CFD simulation for validation. To accurately predict the hypersonic aerodynamic heating, an overall simulation strategy based on mutual selection is proposed. Foremost, the grid criterion based on the wall cell Reynolds number is developed. Subsequently, the dependence of the turbulence model and the discretization scheme is considered. It is suggested that the appropriate value of wall cell Reynolds number is 1 through careful comparison between one another and with the available experimental data. The excessive number of cells is not recommended due to time-consuming computation. It can be seen from the results that the combination of the AUSM+ discretization scheme and the Spalart-Allmaras turbulence model has the highest accuracy. In this work, the heat flux error of the stagnation point is within 1%, and the overall average relative error is within 10%.

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Numerical study of infrared radiation characteristics of a boost-gliding aircraft with reaction control systems

Cited by 20 publications

References 39 publications

Data pipeline of a multi-spectral satellite experiment for object detection and artificial intelligence-based processing

Data pipeline of a multi-spectral satellite experiment for object detection and artificial intelligence-based processing

Infrared Optical Observability of an Earth Entry Orbital Test Vehicle Using Ground-Based Remote Sensors

CFD Simulation Strategy for Hypersonic Aerodynamic Heating around a Blunt Biconic

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