Demonstration of Data/Information Fusion Concepts for Airborne Maritime Surveillance Operations

PDF

Authors
  1. Valin, P.
  2. Jouan, A.
  3. Bossé, É.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
The objective of this report is to demonstrate the achieved performance of judiciously selected data/information fusion and object recognition algorithms for realistic sensor simulations in relevant airborne maritime surveillance missions. The test bed architecture is based on a knowledge-based system (KBS) developed by LM Canada in collaboration with DRDC Valcartier. The chosen multi-sensor data fusion (MSDF) and image support module (ISM) algorithms are agents on this data-driven KBS. Complete results are presented for the Maritime Air Area Operations (MAAO) and Direct Fleet Support (DFS) scenarios for a variety of complicating factors, such as countermeasures, dense target environment, missassociations, ISM classifier errors, etc. Several scenario variants are examined to ascertain the advantages of using ISM reports and selected use of ESM reports including an electromagnetically silent version. Dempster-Shafer evidential reasoning for identity (ID) estimation is thus tested to the fullest, and is found to handle these types of conflicts well. Final conclusions are presented and suggestions for future research are made.

Il y a un résumé en français ici.

Keywords
Information fusion;maritime surveillance;Dempster-Shafer;demonstration;robustness;Knowledge Based System;blackboard;Maritime Air Area Operations;Direct Fleet Support;Image Support Module;classifiers;SAR;ESM;identity;CP-140 Aurora;Information fusion;MSDF (Multi-Sensor Data Fusion)
Report Number
DRDC-VALCARTIER-TR-2004-283 — Technical Report
Date of publication
01 May 2006
Number of Pages
106
DSTKIM No
CA026504
CANDIS No
524369
Format(s):
CD ROM

Permanent link

Document 1 of 1

Date modified: