Engineering topics
Wu, Gilbert
Publications and source records attributed to Wu, Gilbert.
Distribution of the First Alert Range for Low UA Speed Encounters
This presentation shows the percentage of encounters that receive full corrective alerts as a function of the surveillance range.
Low C-SWaP Detect and Avoid: Defining Well Clear
This presentation evaluates four non-cooperative DWCs in terms of their safety and operational suitability metrics.
Alternative Surveillance Fast Time Simulation with Sensor Uncertainties and Mitigation: Preliminary Results
This presentation to RTCA SC-228 WG1 shows preliminary results of closed-loop DAA simulations of low SWaP UA operations. Metrics to discuss include safety metrics and pilot workload.
Low Size, Weight, and Power (SWaP) ATAR Analysis Results for Appendix C/D Updates
This presentation gives an update of the low SWaP sensor field of regard analysis results.
SC-228 Low SWAP DAA Requirements Development
This presentation summarizes the technical development of low SWaP sensor in the DAA working group, SC-228.
Alternative Surveillance Fast Time Simulation with Sensor Uncertainties and Mitigation
This presentation describes a simulation plan for the fast time simulation 3 for the modeling and simulation team in the UAS (Unmanned Aircraft Systems) in the NAS (National Airspace System)project. Objectives: Investigate the effect of limited surveillance volume and realistic radar noise on DAA (Detect and Avoid) performance; Evaluate the ability of the sensor uncertainty mitigation (SUM) feature of the DAIDALUS [Dectect and Avoid...] algorithm to improve DAA alerting and guidance [Includes content on SWaP-C (size, weight, power, and cost) of unmanned aircraft; and Near-mid-air-collision (NMAC).]
Encounter-Based Simulation Architecture for Detect-And-Avoid Modeling
This paper presents an encounter-based simulation architecture developed at NASA to facilitate flexible and efficient Detect and Avoid modeling in parametric or tradespace studies on large data sets. The basic premise of this tool is that large-scale input data can be reduced to a set of `canonical encounters' and that using the reduced data in simulations does not lead to loss of fidelity. A canonical encounter is specified as ownship and intruder flight portions potentially resulting in a loss of well clear along with a set of properties that characterize the encounter. The advantages of using canonical encounters include faster simulations, reduced memory footprint, ability to select encounters based on user-specified criteria, shared encounters across multiple teams, peer-reviewed encounters, and a better understanding of the input data set, to name a few.
Encounter-Based Simulation Architecture for Detect and Avoid Modeling
This paper presents an encounter-based simulation architecture developed at NASA to facilitate flexible and efficient Detect and Avoid modeling in parametric or tradespace studies on large data sets. The basic premise of this tool is that large-scale input data can be reduced to a set of `canonical encounters' and that using the reduced data in simulations does not lead to loss of fidelity. A canonical encounter is specified as ownship and intruder flight portions potentially resulting in a loss of well clear along with a set of properties that characterize the encounter. The advantages of using canonical encounters include faster simulations, reduced memory footprint, ability to select encounters based on user-specified criteria, shared encounters across multiple teams, peer-reviewed encounters, and a better understanding of the input data set, to name a few.
Radar Surveillance Volume for Phase 1 UAS's Alerting Timeline
This presentation briefs simulation results for the Phase 1 UAS encounters. Results are broken into four UAS speed ranges and metrics computed include the cumulative distribution curves for range, bearing, and elevation at the first corrective alerts.
UAS Missions with Low Cost, Size, Weight, and Power (C-SWaP) Sensors
This presentation describes one of the areas of the Detect-and-Avoid work NASA is working on: reduce the barriers for UAS operations with low cost, size, weight, and power sensors.
Fast Time Simulation 2 Experiment Plan
This presentation discusses our experiment plan for Fast Time simulation 2 in terms of objectives, trade space, and schedule.
Modeling and Simulation Plans in Support of Low Cost, Size, Weight, and Power Surveillance Systems for Detecting and Tracking Non-Cooperative Aircraft
RTCA Special Committee (SC) 228 has initiated a second phase for the development of minimum operational performance standards (MOPS) for UAS detect and avoid (DAA) systems. Technologies to enable UAS with less available Size, Weight, and Power (SWaP) will be considered. RTCA SC-228 has established sub-working groups and one of the sub-working groups is focused on aligning modeling and simulations activities across all participating committee members. This briefing will describe NASAs modeling and simulation plans for the development of performance standards for low cost, size, weight, and power (C-SWaP) surveillance systems that detect and track non-cooperative aircraft. The briefing will also describe the simulation platform NASA intends to use to support end-to-end verification and validation for these DAA systems. Lastly, the briefing will highlight the experiment plan for our first simulation study, and provide a high-level description of our future flight test plans. This briefing does not contain any results or data.
Modeling of Complex and Diverse Aircraft Trajectories with the Trajectory Synthesizer Generalized Profile Interface
A flexible method to describe and generate aircraft trajectories called GenProf was developed for the Center TRACON Automation System (CTAS) software research platform. Generally CTAS is used to prototype new air traffic management decision support tools and concepts. Beyond this purpose, the GenProf methodology has enabled a variety of research and validation tasks to be performed. This paper briefly describes the methodology and details these applications.