Recent Submissions

  • Interferometric SAR deformation timeseries: a quality index 

    Abera Wassie, Yismaw; Mirmazloumi, Seyedmohammad; Monserrat Hernández, Oriol; Crippa, Bruno; Palamá, Riccardo; Barra, Anna; Crosetto, Michele (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2021)
    Conference report
    Open Access
    Estimating unknown absolute phase from a wrapped observation is a challenging and ill-posed problem that possibly leads to misinterpretation of interferometric SAR (InSAR) deformation results. In this study, we introduce ...
  • A secure broadcast service for LDACS with an application to secure GBAS 

    Maurer, Nils; Caamaño Albuerne, María; Gerbeth, Daniel; Graupl, Thomas; Schmitt, Corinna (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    The VHF Data Broadcast (VDB) data link is responsible for transmitting Ground Based Augmentation System (GBAS) corrections from the GBAS ground station to the aircraft. Thus, it is a major bottleneck for the evolution and ...
  • LES study of the impact of fuel composition on a swirl spray flame approaching blow-off 

    Both, Ambrus; Mira, Daniel; Lehmkuhl Barba, Oriol (2021)
    Conference lecture
    Open Access
    The present paper focuses on the large eddy simulation (LES) of the n-heptane and n-dodecane flames of the Cambridge swirl flames data repository (Sidey et al., 2017). The applied tabulated chemistry spray combustion model ...
  • Assessment of chemistry reduction in high-pressure spray flames of oxymethylene ethers using large-eddy simulations 

    Mira, Daniel; Surapaneni, Anurag; Pérez, Eduardo; Both, Ambrus; Lehmkuhl Barba, Oriol; Houzeaux, Guillaume (2021)
    Conference lecture
    Open Access
    This study is focused on the numerical investigation of reduced chemical schemes for high pressure spray flames of oxymethylene ethers (OMEx). A reduced mechanism using Path Flux Analysis (PFA) technique is tested using ...
  • Detection of GNSS multipath with time-differenced code-minus-carrier for land-based applications 

    Caamaño Albuerne, María; Garcia Crespillo, Omar; Gerbeth, Daniel; Grosch, Anja (IEEE Press ; Wiley, 2020)
    Conference report
    Open Access
    Ground transportation systems demand accurate and robust localizationfunctions. Satellite navigation is considered a key element in those systems, but its position determination can be highly corrupted in urban environments ...
  • Predict ATFCM weather regulations using a time-distributed recurrent neural network 

    Mas Pujol, Sergi; Salamí San Juan, Esther; Pastor Llorens, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Restricted access - publisher's policy
    In recent years, prior to COVID-19, capacity shortfalls in airspace and airports inevitably caused an increase in aircraft delays. Therefore, when it returns to normal conditions, the airspace will exhibit the same capacity ...
  • Counter a drone and the performance analysis of deep reinforcement learning method and human pilot 

    Cetin, Ender; Barrado Muxí, Cristina; Pastor Llorens, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Artificial Intelligence (AI) has been used in different research areas in aerospace to create an intelligent system. Especially, an unmanned aerial vehicle (UAV), known as a drone, can be controlled by AI methods such ...
  • Unveiling airline preferences for pre-tactical route forecast through machine learning. An innovative system for ATFCM pre-tactical planning support 

    Mateos Villar, Manuel; Martín, Ignacio; Alcolea, Ruben; Herranz, Ricardo; García Cantú- Ros, Olivia; Prats Menéndez, Xavier (2021)
    Conference report
    Open Access
    In this work we describe a novel approach for the prediction of the flight plan to be sent by airspace users during the pre-tactical phase of Air Traffic Flow and Capacity Management (ATFCM). The proposed approach uses ...
  • A data-driven wall-shear stress model for LES using gradient boosted decision trees 

    Radhakrishnan, Sarath; Adu Gyamfi, Lawrence; Miró Jané, Arnau; Font García, Bernat; Calafell Sandiumenge, Joan; Lehmkuhl Barba, Oriol (Springer Nature, 2021)
    Conference report
    Open Access
    With the recent advances in machine learning, data-driven strategies could augment wall modeling in large eddy simulation (LES). In this work, a wall model based on gradient boosted decision trees is presented. The model ...
  • A Fast and flexible emergency trajectory generator : enhancing emergency geometric planning with aircraft dynamics 

    Sáez García, Raúl; Khaledian, Homeyra; Prats Menéndez, Xavier; Guitart, Andréas; Delahaye, Daniel; Feron, Eric (2021)
    Conference report
    Open Access
    We present an automated emergency trajectory generator to compute the best emergency trajectory for a given landing site. A combination of the optimized version of the rapidly exploring random tree algorithm and Dubins ...
  • Generation of emergency trajectories based on aircraft trajectory prediction 

    Sáez García, Raúl; Khaledian, Homeyra; Prats Menéndez, Xavier (2021)
    Conference report
    Restricted access - publisher's policy
    We present an automated emergency trajectory generator to compute the best emergency trajectory for a given landing site. A given emergency 2-dimensional (2D) path (i.e., route) is used as input for a trajectory predictor ...
  • Optimization of the progress variable definition using a genetic algorithm for the combustion of complex fuels 

    Both, Ambrus; Mira Martínez, Daniel; Lehmkuhl Barba, Oriol (MCM, 2021)
    Conference lecture
    Open Access
    In this work counterflow diffusion flamelets of n-heptane and air are used at stable and unsteady extinguishing conditions for building a thermo-chemical database for Computational Fluid Dynamics (CFD) calculations. The ...

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