Chat Over Automatic Identification System (AIS) Test Results

Abstract

Chat Over AIS (COA) provides a user-friendly Rocket Chat interface which allows users to communicate by text using Automatic Identification System (AIS) message type 6. AIS message type 6 was designed to allow users to send and receive direct messages using their vessels Maritime Mobile Service Identity (MMSI) number. In addition to providing an improved user interface, COA provides re-transmission of a text message if the vessel is not within Radio Frequency (RF) Line of Sight (LOS) range. For example, if a senders vessel is not within LOS of the receiving vessel, then the senders messages are periodically resent until the receiving vessel is within LOS. COA also provides the capability to send GPS messages via text which allows Navy vessels to report their positions to their Maritime Organization Center (MOC) if the vessel does not want to transmit their position to surrounding vessels. COA utilizes an Aide to Navigation (AtoN) which is designed for data transmission and not vessel collision avoidance. Standard Class A or Class B AIS Transponders are designed for collision avoidance and they will automatically report a vessels position. In addition, vessels will be able to automatically send a Manual Report Event into the SeaVision (SV) Website. Adding the event automatically to SV allows MOC operators to see the Manual Report and then act on this information.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2022
Accession Number
AD1168639

Entities

People

  • Lynne A. Tablewski

Organizations

  • Naval Information Warfare Center Pacific

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Automatic
  • Automatic Identification Systems
  • Collision Avoidance
  • Data Transmission
  • Frequency
  • Identification
  • Identification Systems
  • Information Warfare
  • Line Of Sight
  • Mobile Phones
  • Navigation
  • Radio Frequency
  • Text Messaging
  • United States
  • United States Government
  • User Friendly
  • User Interface

Fields of Study

  • Computer science

Readers

  • Maritime Security/Maritime Homeland Security
  • Neural Network Machine Learning.
  • Tactical Satellite Communications Systems Engineering.

Technology Areas

  • Space