Daniel Selva, A. Golkar, Olga O. Korobova, I. L. I. Cruz, Paul D. Collopy, O. Weck
{"title":"Distributed Earth Satellite Systems: What Is Needed to Move Forward?","authors":"Daniel Selva, A. Golkar, Olga O. Korobova, I. L. I. Cruz, Paul D. Collopy, O. Weck","doi":"10.2514/1.I010497","DOIUrl":"https://doi.org/10.2514/1.I010497","url":null,"abstract":"","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115578511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flight Extraction and Phase Identification for Large Automatic Dependent Surveillance-Broadcast Datasets","authors":"Junzi Sun, J. Ellerbroek, J. Hoekstra","doi":"10.2514/1.I010520","DOIUrl":"https://doi.org/10.2514/1.I010520","url":null,"abstract":"AUTOMATIC dependent surveillance–broadcast (ADS-B) [1,2] is widely implemented in modern commercial aircraft and will become mandatory equipment in 2020. Flight state information such as position, velocity, and vertical rate are broadcast by tens of thousands of aircraft around the world constantly using onboard ADS-B transponders. These data are identified by a 24-bit International Civil Aviation Organization (ICAO) address, are unencrypted, and can be received and decoded with simple ground station set-ups. This large amount of open data brings a huge potential for ATM research. Most studies that rely on aircraft flight data (historical or real-time) require knowledge on the flight phase of each aircraft at a given time [3–7]. However, when dealing with large datasets such as from ADS-B, which can contain many tens of thousands of flights, exceptions to deterministic definitions of flight phases are inevitable, due to large variances in climb rate, altitude, velocity, or a combination of these. In this case, instead of using deterministic logic to process and extract flight data based on flight conventions, robust and versatile identification algorithms are required. In this paper, a twofold method is proposed and tested: 1) a machine learning clustering step that can handle large amounts of scattered ADS-B data to extract continuous flights, and 2) a flight phase identification step that can segment flight data of any type of aircraft and trajectory by different flight phases.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"40 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129383665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. S. Net, Iñigo Del Portillo, B. Cameron, E. Crawley
{"title":"Architecting Information Security Services for Federated Satellite Systems","authors":"M. S. Net, Iñigo Del Portillo, B. Cameron, E. Crawley","doi":"10.2514/1.I010425","DOIUrl":"https://doi.org/10.2514/1.I010425","url":null,"abstract":"This paper investigates the provision of information security services in federated satellite systems. The discussion is initiated by describing possible threats that the system faces, as well as the specific security services that have to be provided in order to mitigate them. Next, a set of five primal security functions that a federated satellite system has to implement is defined, and an interaction state model is propose to characterize the security state when two federates are interacting with each other. Differences in these security states are then used to define the interaction state machine, which is a transition state diagram that can be used to rapidly identify which security functionality has to be provided in order to securitize an unreliable interaction. Finally, the interaction state model and interaction state machine are applied in a multihop setting where information is relayed through multiple federated satellite system participants. Based on this discussion, the concept of best-effort...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124007654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear Uncertainty Propagation in Astrodynamics Using Differential Algebra and Graphics Processing Units","authors":"M. Massari, P. Lizia, M. Rasotto","doi":"10.2514/1.I010535","DOIUrl":"https://doi.org/10.2514/1.I010535","url":null,"abstract":"In this paper, two numerical methods for nonlinear uncertainty propagation in astrodynamics are presented and thoroughly compared. Both methods are based on the Monte Carlo idea of evaluating multiple samples of an initial statistical distribution around the nominal state. However, whereas the graphics processing unit implementation aims at increasing the performances of the classical Monte Carlo approach exploiting the massively parallel architecture of modern general-purpose computing on graphics processing units, the method based on differential algebra is aimed at the improvement and generalization of standard linear methods for uncertainty propagation. The two proposed numerical methods are applied to test cases considering both simple two-body dynamics and a full n-body dynamics with accurate ephemeris. The results of the propagation are thoroughly compared with particular emphasis on both accuracy and computational performances.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131908488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compression Rates and Spatial Judgment Biases Made from Synthetic Vision Perspective Displays","authors":"Jiajun Wei, M. Bolton","doi":"10.2514/1.I010519","DOIUrl":"https://doi.org/10.2514/1.I010519","url":null,"abstract":"In this work, the relationship between error in human spatial judgments made from perspective displays with the compression rates used to represent the judged spatial quantities was investigated. Two-dimensional perspective displays are often used to represent three-dimensional information to humans. Such displays can use different compression rates (actual distance conveyed per unit of screen distance) for identical spatial quantities. An existing data set was used, in which spatial judgments (relative distance, angle, and elevation) were made about the relative location of a terrain point shown on a simulated aircraft synthetic vision systems display. The correlations between compression rates and associated judgment error were then measured. Correlations were computed for average participant judgments as well as for each participant, from which an average correlation was computed. Significant negative correlations were found between compression rates and judgment error for all of the analyzed spatial j...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133118466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling, Optimization, and Operation of Large-Scale Air Traffic Flow Management on Spark","authors":"Jun Chen, Yi Cao, Dengfeng Sun","doi":"10.2514/1.I010533","DOIUrl":"https://doi.org/10.2514/1.I010533","url":null,"abstract":"The nationwide air traffic flow management problem often encounters computational difficulty because it is generally modeled as an integer programming problem that requires computationally expensiv...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Minimum Required Detection Range for Detect and Avoid of Unmanned Aircraft Systems","authors":"J. Wikle, T. McLain, R. Beard, L. Sahawneh","doi":"10.2514/1.I010479","DOIUrl":"https://doi.org/10.2514/1.I010479","url":null,"abstract":"For unmanned aircraft systems to gain full access to the National Airspace System, they must have the capability to detect and avoid other aircraft. To safely avoid another aircraft, an unmanned ai...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122426116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Branch-and-Bound Global-Search Algorithm for Aircraft Ground Movement Optimization","authors":"Pushkar J. Godbole, A. Ranade, R. Pant","doi":"10.2514/1.I010344","DOIUrl":"https://doi.org/10.2514/1.I010344","url":null,"abstract":"Optimal aircraft ground scheduling is a well-known nondeterministic polynomial-time-hard problem; hence, many heuristics are used to generate schedules within realistic runtimes. These heuristics are designed to run fast, but they often do not promise any guarantee about the solution quality. Inspired by two existing algorithms for scheduling of railway operations, this paper introduces a branch-and-bound-based aircraft routing and scheduling approach with guaranteed global optimality as a real-time decision support tool for air traffic controllers. The performance of the algorithm is benchmarked against two previous approaches: a combinatorial approach using mixed-integer linear programming, and a heuristic approach based on bacterial foraging. The configuration agnostic design of the algorithm makes it suitable for applications: even to unconventional airport layouts. The globally optimal nature of the current solution exhibits a distinct improvement over the respective solutions while maintaining minim...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130463382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Steve Ankuo Chien, J. Doubleday, D. Thompson, K. Wagstaff, J. Bellardo, Craig Francis, Eric Baumgarten, Austin Williams, Edmund Yee, E. Stanton, Jordi Piug-Suari
{"title":"Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission","authors":"Steve Ankuo Chien, J. Doubleday, D. Thompson, K. Wagstaff, J. Bellardo, Craig Francis, Eric Baumgarten, Austin Williams, Edmund Yee, E. Stanton, Jordi Piug-Suari","doi":"10.2514/1.I010386","DOIUrl":"https://doi.org/10.2514/1.I010386","url":null,"abstract":"The Intelligent Payload Experiment (IPEX) is a CubeSat that flew from December 2013 through January 2015 and validated autonomous operations for onboard instrument processing and product generation for the Intelligent Payload Module of the Hyperspectral Infrared Imager (HyspIRI) mission concept. IPEX used several artificial intelligence technologies. First, IPEX used machine learning and computer vision in its onboard processing. IPEX used machine-learned random decision forests to classify images onboard (to downlink classification maps) and computer vision visual salience software to extract interesting regions for downlink in acquired imagery. Second, IPEX flew the Continuous Activity Scheduler Planner Execution and Re-planner AI planner/scheduler onboard to enable IPEX operations to replan to best use spacecraft resources such as file storage, CPU, power, and downlink bandwidth. First, the ground and flight operations concept for proposed HyspIRI IPM operations is described, followed by a description ...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124524071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Image Segmentation-Based Unmanned Aerial Vehicle Safe Navigation","authors":"P. Agrawal, Ashwini Ratnoo, Debasish Ghose","doi":"10.2514/1.I010457","DOIUrl":"https://doi.org/10.2514/1.I010457","url":null,"abstract":"This work proposes a vision-based guidance scheme for an unmanned aerial vehicle navigating through urban environments while seeking a predefined goal point. Optical flow of image corner feature points is considered to segment obstacles from the image. An obstacle-avoidance guidance law is proposed to avoid the segmented obstacles. Additionally, detecting open space between segmented obstacles, a passage-following guidance law also presented for intelligent decision making. Analytic comparison with an existing methodology is carried out to highlight superior obstacle-avoidance properties of the proposed strategy. Simulations are carried out in a three-dimensional environment for single and multiple obstacles. Results comply with the analytic findings and present a much improved avoidance performance as compared to existing optical flow-based methods.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}