Simulation of Surface Surveillance System-of-Systems Success – S6 Version 1.0 - User Guide

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Authors
  1. Parsons, K.
  2. Perron, J.
  3. Hogan, J.
  4. L'Heureux, G.
Corporate Authors
Defence Research and Development Canada, Centre for Operational Research and Analysis, Ottawa ON (CAN);NSim Technology, Quebec Que (CAN)
Abstract
The software application known as the Simulation of Surface Surveillance System-of-Systems Success (S6) was developed to compare various groups of maritime surveillance systems and their ability to produce a Recognized Maritime Picture (RMP). S6 is a high level (low fidelity) Monte Carlo simulation of surface ship traffic and the sensors used to detect that traffic. Surface traffic is randomly generated base on ship specifications, a user defined random distribution of waypoints, and the inter-arrival rate of ships along the defined path. Sensors use simple cookie cutter models with probabilistic outcomes: a user defined probability of detection, probability of false detection (type I error), and information latency parameters. When a sensor detects a target it outputs position, speed, and heading estimates and corresponding levels of uncertainty. All sensor data is time stamped and fused into an RMP via a user defined fusion algorithm (or the default one provided). This report is a user’s manual for the S6 application. For a detailed description of the model, refer to Design Specification: Simulation of Surface Surveillance System-of-Systems Success (S6) by Dave Mason, DRDC-CORA TR-2006-05.

Il y a un résumé en français ici.

Keywords
simulation;surveillance;intelligence surveillance and Reconnaissance;ISR;surface ships;event based simulation;Monte Carlo;data fusion;air patrol;surface wave radar;satellite surveillance;high frequency direction finding;automatic identification system;operational research;modelling
Report Number
DRDC-CORA-CR-2013-162 — Contract Report
Date of publication
01 Sep 2013
Number of Pages
112
DSTKIM No
CA042053
CANDIS No
803366
Format(s):
Electronic Document(PDF)

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