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Additionally, this document describes interfaces and protocols necessary to accommodate Cockpit Display of Traffic Information (CDTI) based on the reception of Automatic Dependent Surveillance-Broadcast (ADS-B) data and Traffic Information Services–Broadcast (TIS-B) data. The equipment becomes ACAS X with ADS-B IN applications added, as defined by RTCA DO-317C: Minimum Operational Performance Standards for (MOPS) for Aircraft Surveillance Applications (ASA) Systems (latest version applies). ...The equipment becomes ACAS X with ADS-B IN applications added, as defined by RTCA DO-317C: Minimum Operational Performance Standards for (MOPS) for Aircraft Surveillance Applications (ASA) Systems (latest version applies).

Automatic Dependent Surveillance Broadcast (ADS-B) [1] is a technology that can be viewed either as a complement or as an alternative to current radar-based surveillance techniques. ...Despite its many benefits, this technology suffers from the security flaw of having its messages sent as clear text broadcasts, which makes it vulnerable to several kinds of attacks affecting the authenticity and integrity of ADS-b messages - a problem we addressed with a security framework presented in previous work [2]. ...In this paper, we propose to enhance that initial work by using keyed-hash message authentication code [3] (HMAC) to ensure the authenticity and integrity of ADS-B messages. The proposed improvements include changing the structure of the security-related data and, more importantly, adding a cognitive risk adaptive module.

Supplement 2 provides enhancements in the traffic surveillance area to support ADS-B Out and ADS-B In functionality, ADS-Re-broadcast capability, and Traffic Information Services Broadcast (TIS-B).

These architectures are intended to meet long-term requirements (e.g., ADS-B, CPDLC, etc.) and provide growth for the future. Airlines support the implementation of these architectures for the long-term.

Airborne Inspection Sensor Evolves with LiDAR, Mid-IR and Artificial Intelligence Air Force eVTOL Research and Development Programs Make Remote Pilot Progress Creating a Digital Gateway for RF Domain Will Advance Designs That Meet DoD Initiatives Understanding the Unique RF Interconnect Requirements for Ultra-Demanding Hypersonic Missile and Satellite Applications ADS-B Classification Using Multivariate Long Short-Term Memory This analysis extends previous research that used long short-term memory-fully convolutional networks to identify aircraft engine types from publicly available automatic dependent surveillance-broadcast (ADS-B) data. ...Airborne Inspection Sensor Evolves with LiDAR, Mid-IR and Artificial Intelligence Air Force eVTOL Research and Development Programs Make Remote Pilot Progress Creating a Digital Gateway for RF Domain Will Advance Designs That Meet DoD Initiatives Understanding the Unique RF Interconnect Requirements for Ultra-Demanding Hypersonic Missile and Satellite Applications ADS-B Classification Using Multivariate Long Short-Term Memory This analysis extends previous research that used long short-term memory-fully convolutional networks to identify aircraft engine types from publicly available automatic dependent surveillance-broadcast (ADS-B) data. Physics-Guided Neural Network for Regularization and Learning Unbalanced Data Sets Directed energy deposition is of interest to the aerospace and defense industries for the production of novel and complex geometries, as well as repair applications.

., towers or buildings) even though they may be equipped with an ADS-B transmitter.

Functions that are not covered in this document include: Overspeed Warning; Air Traffic Control Radar Beacon System (ATCRBS)/Mode Select (Mode S); Automatic Dependent Surveillance - Broadcast (ADS-B); Traffic Information System - Broadcast (TIS-B); Electronic Map Display; Synthetic Vision; Enhanced Vision; Head-Up Displays (HUD); and Head Worn Displays (HWD).

In order to perform an effective detection of objects, a number of high performance, reliable and accurate avionics sensors and systems are adopted including non-cooperative sensors (visual and thermal cameras, Laser radar (LIDAR) and acoustic sensors) and cooperative systems (Automatic Dependent Surveillance-Broadcast (ADS-B) and Traffic Collision Avoidance System (TCAS)). In this paper the sensors and system information candidates are fully exploited in a Multi-Sensor Data Fusion (MSDF) architecture.

A DAA system architecture is presented based on Boolean Decision Logics (BDL) for selecting non-cooperative and cooperative sensors/systems including both passive and active Forward Looking Sensors (FLS), Traffic Collision Avoidance System (TCAS) and Automatic Dependent Surveillance - Broadcast (ADS-B). After elaborating the DAA system processes, the key mathematical models associated with both non-cooperative and cooperative DAA functions are presented.

It is assumed that full intent information (Trajectory Change Points (TCP)) is transmitted between aircraft through Automatic Dependant Surveillance - Broadcast (ADS-B). Full Flight Management System (FMS) equipment is required. The experiment described in this paper aimed at gathering more data on autonomous operations from an aircraft perspective, specifically on the acceptability of the concept by pilots, through the evaluation of a prototype interface and of the corresponding procedures.

., towers or buildings) even though they may be equipped with an ADS-B transmitter.

Two studies are reported that evaluated near-term terminal and oceanic applications for ADS-B/CDTI implementation. A brief description of each application is provided with an emphasis on how a Cockpit Display of Traffic Information (CDTI) capability might help to enhance their operations. In experiment 1, sixteen line pilots flew eight terminal visual approach scenarios with target speed cues and ground track vectors presented on a CDTI. Performance measures revealed closer spacing with the CDTI and a safety benefit with respect to enhanced awareness of proximate traffic speed reductions. In experiment 2, eight additional line pilots flew six oceanic scenarios using a CDTI feature set similar to that used in experiment 1. The scenarios were based on the current In-Trial Climb/In-Trail Descent (ITC/ITD) oceanic procedures and were modified slightly to take advantage of potential CDTI capabilities.

Virtual reality (VR), motion cueing, ADS-B, pilot training for NextGen and SESAR, flight simulation training device (FSTD) technology insertion, and the pros and cons of commercial off-the-shelf (COTS) components top the list of discussion points for the annual conference.

Pacific Daylight Time (PDT) on July 25, 2018 and placed 10 new Iridium NEXT satellites into low Earth orbit (LEO), bringing the total number of Aireon space-based Automatic Dependent Surveillance-Broadcast (ADS-B) payloads in orbit to 65 as global air traffic surveillance service nears debut and satellite constellation nears completion.

Mark 4 Air Traffic Control Transponder (ATCRBS/MODE S) describes an Air Traffic Control Radar Beacon System/Mode Select (ATCRBS/Mode S) airborne transponder with Extended Interface Functions (EIF). The ATC surveillance system is made up of airborne transponders and ground interrogator-receivers, processing equipment, and antenna systems. Mode S is a cooperative surveillance system for air traffic control with ancillary communications capabilities. ARINC 718A supports elementary surveillance. Provisional enhanced surveillance functionality is also defined as a customer option. The Mark 4 transponder, like its predecessor, will support Collision Avoidance System which includes TCAS and ACAS X functions.

This document identifies and describes the aircraft avionics capability necessary for operation in the evolving Communications Navigation Surveillance/Air Traffic Management (CNS/ATM) environment expected for the FAA NextGen program, Single European Sky ATM Research (SESAR) program and considerations of the Japan Collaborative Actions for Renovation of Air Traffic Systems (CARATS). These capabilities are intended to satisfy the industry's long-term CNS/ATM operational objectives.

Mark 4 Air Traffic Control Transponder (ATCRBS/MODE S) describes an Air Traffic Control Radar Beacon System/Mode Select (ATCRBS/Mode S) airborne transponder with Extended Interface Functions (EIF). The ATC surveillance system is made up of airborne transponders and ground interrogator-receivers, processing equipment, and antenna systems. Mode S is a cooperative surveillance system for air traffic control with ancillary communications capabilities. ARINC 718A supports elementary surveillance. Provisional enhanced surveillance functionality is also defined as a customer option. The Mark 4 transponder, like its predecessor, will support TCAS functions.

Defines a set of standard aircraft avionics architectures that support a cost-effective evolution to the fully operational CNS/ATM environment. These architectures are intended to meet near-term requirements (e.g., FANS-1, SCAT-1, etc.) and provide growth for supporting the full CNS/ATM function set. This standard represents broad airline consensus for developing avionics equipment providing CNS/ATM operating capabilities.

The purpose of this document is to evaluate Communication, Navigation, and Surveillance (CNS) Distributed Radio architectures and the feasibility of distributing the RF and systems processing sections to ensure the following: Reduce cost of equipment Reduce Size, Weight, and Power (SWaP) Ease of aircraft integration Growth capability built into the design Maintain or improve system availability, reliability, and maintainability It provides a framework to determine whether it is feasible to develop ARINC Standards that support CNS distributed radio architectures.

This document describes the technical requirements, architectural options, and recommended interface standards to support an Autonomous Distress Tracking (ADT) System intended to meet global regulatory requirements for locating aircraft in distress situations and after an accident. This document is prepared in response to International Civil Aviation Organization (ICAO) and individual Civil Aviation Authorities (CAAs) initiatives.