INVESTIGATIONS ON TARGET TRACKING AND CLASSIFICATION USING MULTIPLE SENSOR DATA FUSION. TASK II: SURVEY AND STUDY OF MULTIPLE SENSOR DATA FUSION ARCHITECTURES AND TECHNIQUES

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Authors
Corporate Authors
Defence Research Establishment Valcartier, Valcartier QUE (CAN);Paramax Systems Canada, Montreal QUE (CAN)
Abstract
The goal of Task II is to conduct an exhaustive formal literature survey on the MSDF subject and use the results of the literature survey to conduct performance analyses of the eight sensor data fusion subjects listed below: Sensor Data Association and Fusion Architectures; Data Association; Data Fusion; Data Alignment; Target Attribute; Application of Artificial Intelligence; Target State Estimation; and Manoeuvre Identification. The different approaches of analysis published within the surveyed literature are identified for each one of the above subjects, and relative merits and trade-offs between these approaches are analyzed. The analyses in the Task II report focus on the differentapproaches in the surveyed literature which could be pertinent to a naval platform employing dissimilar and non-imaging sensors. TRUNCATED
Keywords
MSDF (Multi-Sensor Data Fusion);MSDF (Multi-Source Data Fusion)
Report Number
DREV-CR-698 — Contract Report; Technical Report (Final)
Date of publication
15 Jun 1992
Number of Pages
241
DSTKIM No
93-00052
CANDIS No
127602
Format(s):
Document Image stored on Optical Disk;Originator's fiche received by DSIS;Hardcopy

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