Transcript AI s - Airborne Internet

Computer Networks & Software Inc.
Accelerating CNS
Airborne Internet to Support
SATS
Flight Data Link Applications
AI Consortium Meeting
January 22, 2003
7405 Alban Station Court, Suite B225, Springfield, Virginia 22150-2318
www.CNSw.com
(703) 644-2103
Agenda
Accelerating CNS






AI Concept
Review of GRC SATS AI Project Results
AI Testbed
Conclusions
DARTS
AI Roadmap
Computer Networks & Software, Inc.
2
Airborne Internet History
Accelerating CNS





Airborne Internet was conceived as an enabling
technology for the air/ground and air/air exchange of
digital data for the SATS Program.
May 01: CNS received task order from GRC to conduct
research on the AI for SATS.
Dec 01: SATS AI Testbed demonstration marked end of
GRC task order.
May 02: CNS awarded 6 month task order for SATS AI
demonstrations.
Sep 02: DARTS contract for AI equipment and
applications awarded to CNS.
Computer Networks & Software, Inc.
3
Airborne Internet Concept
Accelerating CNS

Airborne Internet is a set of communication services
and protocols that support consolidated one-way and
two-way data exchange requirements of diverse
applications.
– Applications share bandwidth available from minimum
number of radios. Goal is one radio.
– Media independent
– Applications use only those communications services that
they need.
Computer Networks & Software, Inc.
4
AI Nodal Protocol Architecture
Accelerating CNS
AI App
Cell wide
Collaboration
Protocol
(CCP)
AI App
AI App
AI App
AI App
AI App
Peer-to-Peer
TCP (AI-PICS)
Mobility
Area wide
Collaboration
Protocol
(ACP)
IP (AI-PICS)
LAN
AI-Router
Link Layer Protocol
Physical Layer Protocol
Computer Networks & Software, Inc.
5
Generic AI Model
Accelerating CNS
Applications
Data Transport Services


Security
Network Management
Mobility
Airborne Internet
Infrastructure
Mode S
UAT
SATCOM
VDL
WL-LAN
802.11/16
Subnetworks
A/C LAN
(ARINC 664)
Layered
Protocol
Services
Quality of Service
Broadcast, Multicast, Unicast
An Integrated CNS approach to interoperability - all services through
a common communications method.
All the challenges that the ATN faced in the 1980’s, but using the
standards of today.
Computer Networks & Software, Inc.
6
Airborne Internet Environment
Accelerating CNS
GPS
SATCOM
Navigation
AI SATCOM
AI VDL
AI VDL
AI Airport
Services
• TIS-B
• LAAS
Line of
sight
AI VDL
AI Aircraft
Gateway
Gateway
Non-AI
Aircraft
NAS Services
• ATM System
• HUB Airports
• TIS-B
ATC Controller
VPN
Computer Networks & Software, Inc.
Internet
• Weather Products
• NOTAMS
• Flight Service Stations
• Other
7
SATS AI Project Summary
Accelerating CNS

Government Leaders:
–
–
–
–

FAA Technical Contact: Ralph Yost
NASA GRC Project Manager: Mike Zernic
NASA GRC Project Engineer: Jim Griner
NASA GRC Space Comm Office: Denise Ponchak
Project:
– Develop the requirement, architecture, and system level
design baselines,
– and establish the evaluation testbed for the Airborne
Internet.
– FY 02 Sustain Testbed Demonstrations

AI Objective:
– Consolidate and integrate the exchange of CNS data.
– Minimize the number of radios and antennas on an
aircraft. Goal is to provide common access means for all
wireless aircraft applications.
Computer Networks & Software, Inc.
8
AI Contractor Team
Accelerating CNS

Computer Networks & Software, Inc. (CNS) - Prime
–
–
–
–
–
–

Mulkerin Associates Inc. (MAI)
Project Management Enterprises, Inc. (PMEI)
AvCS Research Ltd.
Microflight, Inc.
AvCom, Inc.
Comptel, Inc.
Architecture Technologies Corporation - Prime
Accomplished the first project cycle to define the SATS AI
Computer Networks & Software, Inc.
9
System Engineering Challenge
Accelerating CNS
Research Horizon
Operation Readiness
Flight Demonstrations
Today






2005
2010
2015
2020
Design for reaching horizon – max degrees of freedom
Use an incremental approach – as Concept of Operations evolves
Provide for early demonstrations of concepts
Interoperate with the NAS
Use an Integrated CNS approach
Obtain low cost solutions
Computer Networks & Software, Inc.
10
What has been accomplished?
Accelerating CNS





Preliminary Concept of Operations (using SATS
concept)
AI Requirements Definition
CNS Technology evaluation/tradeoff
NAS/SATS infrastructure assessment
Defined three candidate architectural approaches:
– Ground Centric ( M3 and UMTS - Cellular)
– Space Centric (Immarsat)
– Air Centric (Mode SATS)



Performed Architecture Assessment
Set-up a Testbed for the AI Mode SATS Approach
Installation of AI equipment in DARTS started
Computer Networks & Software, Inc.
11
AI Requirements Methodology
Accelerating CNS
Macro-Level Object Oriented Analysis Process
Airport
Ref
#
SATS User
Services
Functional Capability
File flight plans and amendments.
Aircraft 2
NWS
Process flight plans and amendments.
Provide information for flight plans.
1
Flight Service
Obtain in-flight or pre-flight weather and NAS status (NOTAMs) advisories.
(Near real time and forecast, tactical and strategic)
A
Obtain in-flight or pre-flight traffic advisories. (Existing tactical and strategic)
Operational
Services
(based on
Operational
Concepts)
Obtain in-flight NAS status advisories – current and scheduled.
H
Provide separation of aircraft during ground operations.
B
Provide separation of in-flight IFR aircraft.
Avoid potential hazards and collisions.
Entity and services
relationships Reference
Model
Maintain minimum distance from Special Use Airspace (SUA).
2
Air Traffic Service
Monitor flight progress.
Enable in-flight sequencing, spacing, and flow management for SATS aircraft.
Obtain pre-flight runway, taxi sequence, and movement restrictions.
Project aircraft in-flight position and identify potential conflicts.
Provide data to support managing use of SUA.
3
Emergency and
Alerting Service
4
Self-Separation and
Sequencing Service
Provide emergency assistance and alerts. (For downed or troubled aircraft)
Support search and rescue.
Provide data to ensure proper separation to avoid potential hazards and
collisions.
Provide data to support VFR and IFR traffic separation.
Provide data to monitor flight progress.
Provide self-separation in NAS.
5
Navigation Service
Provide airborne navigation guidance.
Pilot/Aircraft
Information Service
Enable separation of in-flight IFR aircraft.
G
ATM Sys
F
D
E
Internet
NAV
Provide information concerning the flight.
6
C
Aircraft 1
FSS
Enable in-flight sequencing and spacing for SATS aircraft.
Surveillance
Provide aircraft in-flight position and identify potential conflicts.
Provide information about airport services.
7
Aircraft and Travel
Service
Notification to owner/operator about change in aircraft availability.
8
Public Information
Exchange Service
Provide in-flight entertainment
Notification to owner/operator about aircraft maintenance issues.
Provide other travel related information.
Provide public communications including email and web browsing.
State
Services allocated to system
entities
Purpose
Functions
2005
Provide data for tracking aircraft on the
ground.
Provide data for tracking an aircraft
enroute
State
2005
Information Exchange – (IE Object)
Airspace Situation (AS)
Information Exchange
Needs (communications
requirements )
Applicable Interface: (Entity-to-Entity)
E
X
Functions
Provide data for tracking aircraft on the
ground.
Support safe separation between
participating traffic and airspace.
Surv NAV FSS NWS
ATM
Airport
Sys
X
Provide data to monitor flight progress.
Purpose
Provide data for tracking an aircraft
enroute
Int
Provide data to ensure proper separation to
avoid potential hazards and collisions.
Provide data to support VFR and IFR traffic
separation.
Support safe separation between
participating traffic and airspace.
Information Exchange Data
Objects allocated by service/
functional processes (data flows)
A/C 1 A/C 2
FPU
WX
AS
MC
NAV
ASI
PE
PIE
Provide data to ensure proper separation to avoid
potential hazards and collisions.
Provide data to support VFR and IFR traffic separation.
X
Provide data to monitor flight progress.
Type: G/A
Integrity (Error Rate): High
Information Unit Size (Min, Max, Avg): 0.2 Kb, 13 Kb, 11 Kb
Frequency of Occurrence: 5 seconds
Acceptable Delay: 5 seconds
Authentication: No
Priority: Medium
Retransmission Required: No
Suitable for Addressed Communications: No
Suitable for Broadcast: Yes
Suitable for Multicast: Yes
Computer Networks & Software, Inc.
+
Loading
12
Entity Reference Model
Accelerating CNS
Airport
Aircraft 2
NWS
A
H
B
G
C
Aircraft 1
FSS
F
ATM Sys
D
E
Ops/Sup
NAV
Surveillance
Computer Networks & Software, Inc.
13
NAS Services/Systems
Accelerating CNS
Ref #
GA User Services
NAS Systems
FIS-B, DUATS, OASIS, AFSS,
TWIP, D-ATIS, TAMDAR
1
Flight Service
2
Air Traffic Service
3
Emergency and Alerting
Service
4
Self-Separation and
Sequencing Service
TIS, TIS-B
5
Navigation Service
LAAS
6
Pilot/Aircraft Information
Service
Voice
7
Aircraft and Travel
Service
Internet
8
Public Information
Exchange Service
Internet
TIS, TIS-B, CPDLC
Computer Networks & Software, Inc.
TIS-B, CPDLC
14
Common Framework - Wx
Accelerating CNS
SATS IE OBJECTS
SATS IE OBJECTS
Legend
FPU
FPU: Flight Planning and Use (FPU)
Wx
AS
MC
NAV ASI PAE AT
Wx: Weather
SATS Aircraft -1
AS: Airspace Situation
PIE
FPU
Wx
On-board
GPS RX
AS
MC
NAV ASI PAE AT PIE
SATS Aircraft -2
On-board
GPS RX
MC: Maneuver & Control
NAV: Navigation
ASI: Aviation System Information
AI-Router
AI-Router
Subnet
Subnet
PAE: Pilot/Aircraft Information Exchange
AT: Aircraft & Travel
PIE: Public Information Exchange
Sensor
TAMDR
DR
FSS: Flight Service Station
DR
NWS: National Weather Service
NWIS; NAS Wide Information System
FBO: Fixed Base Operator
SATS SUBNET
LAAS: Local Area Augmentation Service
: Information flow
Gateway
Internet
Gateway
FBO (Local Airport)
Surveillance
(TIS)
ATC
Controller
NWIS
FSS
NWS
Global
Internet
LAAS
Operators/Suppliers
Computer Networks & Software, Inc.
15
SATS Flight Profile – Comm Load
Accelerating CNS
All Messages
Message Load - Flight (Kb)
FPU
MC
ASI
3,250 10,000
900
AT
PAE
AS
WX
NAV
Total
3,300 18,000 15,984 13,192 20,304 84,930
Average Message Load (Kbps)
0.45
1.39
0.13
0.46
2.50
2.22
1.83
2.82
11.80
Addressed Messages
FPU
MC
ASI
AT
PAE
AS
WX
NAV
Total
3,250 10,000
900
Message Load - Flight (Kb)
3,300 18,000
Average Message Load (Kbps)
0.45
1.39
0.13
0.46
2.50
Broadcast Messages
FPU
MC
ASI
AT
PAE
Message Load - Flight (Kb)
35,450
4.92
AS
WX
NAV
Total
15,984 13,192 20,304 49,480
Average Message Load (Kbps)
2.22
1.83
2.82
6.87
250 aircraft within a 50 mile radius of a SATS airfield = Traffic load: 11.8 Kbps
Computer Networks & Software, Inc.
16
Technology Evaluation
Accelerating CNS
CNS Related Technologies
CNS Related
Technologies
Multiple Solution Technologies
• General Wireless
• SATCOM
• Cellular
• LAN
70
Technologies
Single Solution Technologies
• Protocol Related
• Navigation
• Surveillance
Architectural Toolkit
Near-term Technologies
Technologies to be Researched
Tool Kit
Technologies
Tool Kit
Technology
Comments
1 / Wireless
VDL M2-B, VDL M4, VDL M3, UAT
Wireless
VDL Mode 4 - Like
Wider bandwidth
2 / SATCOM
Inmarsat INM 3 & 4, GlobalStar/
Qualcom
Packet Mode - C Band
Wider bandwidth
K Band
Weight, size, and power
3 / Cellular
3GPP, UMTS, Aircell
Motient
Collect Information
4 / LAN
802.11, ARINC 664
Inmarsat 3 & 4 - MPDS
Collect Information
5 / Protocols
ATN, IPv4, IPv6, VoIP, IPSec, Mobile
IP, QoS, Multicast, Self Organizing
MANET, P-P, CDMA, IP Over M2,
M3, M4
UMTS for ATC
U.S. ATC suitability
6 / Navigation
LAAS, WAAS
7 / Surveillance
ADS-B, TIS-B, TIS
SATCOM
Cellular
Computer Networks & Software, Inc.
17
SATS Technology & Architecture Relationship
Accelerating CNS
Technology Design
Specifications
Today
Legend
NDI = Non-Developmental Item
 Technology (“+” = adds, “-” = deletes)
•Wireless (General)
 New Technology
Arch B
Aircraft
Centric
•Wireless (Cellular)
Arch
Toolkit
Architecture
Principles
Dev.
Example Only
•Wireless (SATCOM)
•LAN
2025
Arch A
Space
Centric
Est. = Estimated
Multiple Solution Sets
NDI/N2DI
Candidate
Architectures
N2DI= Nearly Non-Developmental Item
2005
Architecture
Development

(+)
(++)

(-)
(-)




Limited Solution Sets
Arch C
Ground
Centric
•Protocol Related
•Navigation
•Surveillance
AI Requirements (Est.)
Technology Evaluation
Task
Arch D
Hybrid (s)
Architecture Development
Task
Computer Networks & Software, Inc.
AI Testbed and Design
Tasks
18
SATS AI Architectures
Accelerating CNS
Space Centric Architecture
Architecture Principles
Ref
GPS
Principle
1
Provides the means to fully support the functional services.
2
The AI will be separable into platform specific systems defined as
the CMS and a system defined NMS. To this extent the architecture
will modular.
3
The mechanisms and techniques employed with the AI will be selforganizing.
4
All communication, to the extent practical, will be performed
through a primary means of communication.
5
Within the AI there will be no single point of failure.
6
The system will be constructed using open system standards.
7
The interface to the NAS (enroute, terminal controllers) will be
through a gateway facility.
8
Provide for interfaces to the entities shown in the Entity relationship
Model.
Enroute
LOS Coverage
LOS Coverage
Gateway
GES LAAS
Station
ATC
Controller
Internet
(VPN)
NOCC
9
MIS
M&E
CPUs
Provide for information and operational security.
Airport
Surveillance
Source (TIS-B)
Ground Centric Architecture
Air Centric Architecture
SATSServices
• PAE (air-to-air)
•AS (ADS/TIS)
LAAS
Monitor
2580
Network Operations
Control Center (NOCC)
GPS
Legend
FSS: Flight Service Station
NWS: National Weather Service
NWIS; NAS Wide Information System
Airborne router
FBO: Fixed Base Operator
LOS Coverage
LAAS: Local Area Augmentation Service
RNC: Radio Link Control
MSC: Mobile Switching Center
LOS Coverage
EnrouteBase Station
EnrouteBase Station
Node B
SGSN: Serving GPRS Support Node
GGSN: Gateway GPRS Support Node
RNC
RNC
Access Network
FPU
WX
ASI
PIE
Core Network
INTERNET
Gateway
VDL/S Network Operations
Control Center (NOCC)
GGSN
VDL/S BASE STATION
Gateway
LAAS STATION
MSC
SGSN
MSC
GGSN
Internet
Gateway
FBO (Local Airport)
Surveillance
(TIS)
ATC
Controller
LAAS MONITOR
NAS Services
• ATM System
• HUB Airports
• MC (CPDLC like)
SGSN
NWIS
AIRPORTSURVEILLANCE
Global
Internet
LAAS
SOURCE (TIS-B)
FSS
ATC Controller
Computer Networks & Software, Inc.
NWS
19
Evaluation Factors and Architecture Models
Accelerating CNS
Evaluation Factors
Candidate Architectures for Comparison
 Cost
– On-board and off-board cost components
– Infrastructure requirements
– Overlay on existing or new infrastructure
to support SATS AI
– SATS dedicated infrastructure or shared
(and paid for) by other users
– Use of airport area as cost model
 Availability
– Time horizon
 Performance
– Adherence to AI architectural principles
– Functional requirements
– Bandwidth sizing
– Reliability – redundancy
– Delay
 Scalability
 Risk Assessment
Technology
Inmarsat INM 3 & 4
Space
Air
Ground


VDL Mode SATS
UMTS for ATC

3 GPP

TCP/IP, Mobile IP, Multicast



TIS-B, LAAS



Peer-to-Peer




Self Organizing (Manet)

CDMA
IPSec
Computer Networks & Software, Inc.



20
AI Architectural Evaluation Results
Accelerating CNS

Aircraft Centric Architecture
– Meets SATS requirements
– Low risk, low cost, near COTS option
– ICAO standards based with multiple hardware vendors

Space Centric Architecture
– Available as a service now
– Existing aircraft can be upgraded to this service
– Transition higher bandwidth with Inmarsat-4
constellation

Ground Centric Architecture
– UMTS technology has no inherent show stoppers and
meets SATS requirements
– High risk - dependence on commercial aviation for
development, certification and deployment of technology
Computer Networks & Software, Inc.
21
Tell me About the Testbed
Accelerating CNS
AI Testbed Objectives - Build A



Provide a ‘Hands-on”
technical platform to
assess the principles
and design of the
Airborne Internet
concept.
Provide an affordable
platform using COTS
products.
Provide base for
additional technology
insertion.
Architectural Principles
Ref
Principle
1
Provides the means to fully support the functional services.
2
The AI will be separable into platform specific systems defined as the
CMS and a system defined as the NMS. To this extent the architecture
will modular.
3
The mechanisms and techniques employed with the AI will be selforganizing.
4
All communication (to the extent practical) will be performed through a
primary means of communication.
5
The system will be constructed using open system standards.
6
The interface to the NAS (enroute, terminal controllers) will be through
a gateway facility.
7
Provide for interfaces to the entities shown in the Entity relationship
Model.
8
Provide for information and operational security.
Installed Technology
VHF Data Link (air-centric Mode SATS)

TCP/IP

Peer-to-Peer (connectivity)

Emulated SATS Applications

ADS-B, ATN CPDLC, FIS-B graphical
weather, Pilot/Aircraft information exchange,
and email
Scalable
Computer Networks & Software, Inc.


22
Testbed – Build A with Mode SATS
Accelerating CNS
Aircraft N372,
374 & 376
Aircraft N384
P-P/CPDLC
Ground Facility
ADS-B
P-P
PAE
AI
Router
N384
E-mail,
PAE
Mode
SATS Radio
Ground
Station
Mode
SATS Radio
AI
Router
CPDLC
ADS-B, Chat
Weather, NOTAMS
Remote
Equipment
Monitoring
ADS-B, Chat, Weather, NOTAMS
Mode
SATS
Network
Internet
Aircraft N382
P-P/CPDLC
N382
Mode
SATS Radio
Remote
email
Servers
Firewall
DNS
AI
Router
Web Enabled
Status Monitor
ADS-B, Chat, Weather, NOTAMS
Computer Networks & Software, Inc.
Network
Control
Center,
Bethesda,
MD
23
Demonstration Applications
Accelerating CNS











ADS-B
Air-Air Chat
FIS-B Textual Weather
FIS-B Graphical Weather
NOTAMS
CPDLC
Email
Remote Monitoring Equipment Status
Internet access using Browsers
Video Frames/ Net Meeting
Peer to Peer Tool
Computer Networks & Software, Inc.
24
FIS-B Weather Data Flow
Accelerating CNS
Ground AI
Router
N382 Air AI
Router
Collector
Radio
Radio
Sequencer
Viewer
Browser
Internet
N382 Air AI
Router
Remote
e-mail
Servers
Collector
Viewer
Browser
weather.noaa.gov
www.awc-kc.noaa.gov
Radio
Computer Networks & Software, Inc.
25
FIS-B Graphical Weather
Accelerating CNS
Computer Networks & Software, Inc.
26
FIS-B Textual Weather Report
Accelerating CNS
Computer Networks & Software, Inc.
27
NOTAMS
Accelerating CNS
Computer Networks & Software, Inc.
28
Airborne Internet Testbed Summary
Accelerating CNS

VDL Mode SATS point-to-point and
broadcast communication capability:
– Air-to-air, self organizing, peer-to-peer
communication
– Functionality/interoperability





Demonstrated “all-in-one” AI
connectivity.
Internet connectivity.
Integrated hardware/software
components from many suppliers.
Successfully implemented and tested the
software based router for SATS AI.
Demonstrated at ICNS 2002 and to more
than 100 government and industry
representatives
Integrated Components
Mode SATS VHF Radio
EFR 300 Ground Station
VDL Mode Subnet Emulation using
RF Attenuator
ADS-B Position Reporting System
FIS-B Graphical Weather Products
FIS-B Textual Weather
ATN CPDLC
Aircraft/Aircraft Chat
Netscape
E-mail Application
Web-enabled Remote Equipment
Status Monitor
Aircraft Mobility Based on DNS
Intel-based Workstations and Sun
Workstations (Ultra 10)
Configuration and integration work represented a “one of
a kind” rapid prototype of the airborne internet.
Computer Networks & Software, Inc.
29
Proposed Testbed B+ Enhancements
Accelerating CNS




Perform test & measurement activities
Add applications
Add SATCOM
Configure for VDL M2, M3 and 802.11
Computer Networks & Software, Inc.
30
Conclusions
Accelerating CNS


Strong reason to employ the AI is to minimize the
number of radios and antennae needed for data
communications on GA/SATS aircraft.
Analysis and demonstrations indicate that the
technology is available to implement the AI.
– Bandwidth analysis for existing and near term NAS
related systems indicates that the traffic load generated
by the diverse applications can be supported using a
single 25 KHz VHF frequency.
– Analysis did not consider the issues associated with
combining and transmitting traffic control, surveillance
and navigation data on a single radio.
Computer Networks & Software, Inc.
31
Conclusions
Accelerating CNS

Testbed demonstration showed that a single AI VHF
radio per aircraft could provide weather and NOTAMS
plus traffic control and surveillance data to the pilot.
– Demonstrations focused on the feasibility of combining
data from diverse applications.
– Performance of the AI in terms of delay was not
measured.
– Once the AI equipment is installed in the DARTS,
experiments can be undertaken to measure performance
and confirm that the AI is a preferred data link solution
for GA aircraft.
Computer Networks & Software, Inc.
32
DARTS Project Summary - 1
Accelerating CNS



Project:
– Deliver equipment, software, documentation and technical
support necessary for the installation (by Government
personnel) of the AI capability into existing Digital
Infrastructure Facility (DIF) and two aircraft platforms.
– Develop additional specification documentation of the AI
architecture and system design.
Work Plan:
– 7 Tasks (6 CLINs)
– Equipment Delivery – 119 days ARO
– Documents (ASI and AI FDD)
– Support – NTE 240 hours
Contractor Team:
– Computer Networks & Software, Inc. (CNS) - Prime
– Project Management Enterprises, Inc. (PMEI)
– Mulkerin Associates Inc. (MAI)
– Microflight
Computer Networks & Software, Inc.
33
SATS/DARTS AI System Components
Accelerating CNS
Computer Networks & Software, Inc.
34
Proposed DARTS Facility
Accelerating CNS
Computer Networks & Software, Inc.
35
Current AI Status
Accelerating CNS

SATS AI Demonstrations
– Testbed “Build A” Demonstrations (ended 9/30/02)
– Delivered Subnetwork Interface Document
– Conducted demonstrations for more than 100
government and industry representatives.

DARTS AI Upgrade
–
–
–
–
–
AI Subsystem for LaRC and 2 aircraft pallets
Configuration Review Complete
Final Applications Interface Reviewed and Delivered
Draft AI Functional Description Submitted for Review
Delivery (Jan 03)
Computer Networks & Software, Inc.
36
AI Roadmap
Accelerating CNS
Future (NAS/SATS)
Surveillance Vision
Mission/Operational
Concept
Industry Standards
RTCA,AEEC
Flight Tests &
Demonstrations
ICNS Requirements
SATS AI
Requirements (FY01)
Architecture
Candidates &Trades
IP Technology:
• Data Transport (UDP/TCP)
• Mobility
• Security
• QoS
• Network Management
AI Functional
Description
Validation/Reporting
AI Design & Use
VDL,SAT,
802.11/16
FY02
AI System Design
Test Evaluation
Flight Tests
SID
Test Plan
NASID
AI Test Platform
Development
Computer Networks & Software, Inc.
802.11/16
Performance
Availability
Design to Cost
Hybrid
SATS
•
•
•
•
VDLs
SATS AI Tech Eval &
Architecture (FY01)
37
Summary
Accelerating CNS

2002 Insights
– AI really means integrated CNS vision
– Initial work supporting a switch in context from
a SATS-centric vision to:
» A generic approach having data link independence
» A vision that includes an AI concept that is a NAS-wide tool

Issue:
– Use of IP-based protocols in aviation systems
» Consensus on acceptability of functionally and performance
– Change in regulatory framework

2003
– Objective: Build a consensus framework for evaluation
Computer Networks & Software, Inc.
38
Contacts
Accelerating CNS
Computer Networks & Software, Inc.
7405 Alban Station Ct.
Suite B-225
Springfield, VA 22150-2318
Chris Wargo or
Chris Dhas 703-644-2103
[email protected], [email protected]
http://www.CNSw.com
Computer Networks & Software, Inc.
39
What is Mode SATS
Accelerating CNS




Based upon Self-Organizing VHF Data Link using
GFSK modulation (peer-to peer technique).
Builds upon the core ICAO navigation-surveillance
standards for VHF datalink.
Allows aircraft-to-aircraft switching (ad hoc networks)
for AI communications.
Single channel data burst rate is 19.2 Kbps.
– Significant data throughput improvements through wideband or multichannel techniques.

Frequency tuning range:
– Today: 108 - 137 MHz
– Researching 330 MHz or higher usage
Computer Networks & Software, Inc.
40
Information (Data) Transfer Scheme
Accelerating CNS
Test mode:
Operational mode:
Development and testing by use of multiple-mode VHF 25 KHz hardware.
One wide-band with priority based TDMA channelization or multiple narrow band
channels dynamically assignable to meet requirement.
Freq (MHz)
137
DOS, Location-ID discovery, short message and info transfer
reservations.
ADS-B/ reservation channel
Variable length
info transfer
channels
118
BROADCAST CHANNELS
FIS-B
TIS-B
LAAS
108
Time
Note: Minimum equipage required is frequency agile avionics with 2 receivers + 1 transmitter
Computer Networks & Software, Inc.
41
Systems Engineering/Architecture Project
Accelerating CNS


GA Operational Concept for Year 20XX
– Prepare Operational/System Requirements
Update Architecture Requirements
– Update/revise Traffic Loading Metrics
– Update Architectures Models
– Add Hybrid Approach Analysis

Update AI Functional Description Document
Computer Networks & Software, Inc.
42
GA AI Laboratory/Flight Project
Accelerating CNS

Objective: Provides facility for test and measurement
of AI Technology
– IPOv4 and IPv6, Mobile Networking IPv4 – IPv6,
Network Management, Addressing Schemes, Security,
QoS, and Software MANET or Equivalent

Tasks:
– Establish WHJTC AI Testbed
– Prepare a System Design Document
– Conduct Testbed/Flight Experiments
» Level of detail subject to funding
» Measurement of performance
– Development of additional applications
Computer Networks & Software, Inc.
43
VDL M2 and VDL M3 Approaches
Accelerating CNS


Objective: Determine the approach for using IP over
VDL M2 or M3.
Tasks:
–
–
–
–
–
Configuration and Design Development
Development & Acquisition
Test Facility Set-up
Analysis & Test
Report and Dissemination of Results
Computer Networks & Software, Inc.
44
Integrated CNS Standardization
Accelerating CNS

Determine Regulatory approach
– Multiple applications on single channel
– Use of IP for ATC

Preliminary Safety and Certification Study
– Links operational tasks and technical performance
Computer Networks & Software, Inc.
45