DocumentCode
3224474
Title
Performance evaluation methods for data-fusion capable tactical platforms
Author
Dastidar, Satyaki Ghosh ; Sambhoos, Kedar ; Llinas, James ; Bowman, Christopher
Author_Institution
Center for Multisource Inf. Fusion, Univ. of Buffalo, NY, USA
Volume
2
fYear
2005
fDate
25-28 July 2005
Abstract
Relatively little research has been done so far to define a technically fair yet affordable method for performance evaluation (PE) for data fusion (DF) processes. PE methodology is required to evaluate performance of alternative DF process designs that are being developed to handle the increasing complexity of modern day applications. This paper addresses the distributed fusion problem and gives quantitative insights into the inter dependencies and the consistency measures between distributed fusion measures of performance. Building on our prior works, our recommended PE methodology based upon the dual node network (DNN) DF & resource management (DF&RM) architecture is employed herein in a case study involving track picture consistency across multiple platforms. This research focuses in particular on distributed level 1 DF PE applications for the Air Force Flight Test Center (AFFTC), in support of new test and evaluation procedures that will be required for advanced, fusion-capable tactical aircraft.
Keywords
aircraft testing; distributed sensors; military aircraft; military communication; sensor fusion; AFFTC; Air Force Flight Test Center; DF&RM; DNN; data-fusion capable tactical aircraft; distributed fusion measure; dual node network; performance evaluation method; picture consistency tracking; resource management architecture; Aircraft; Application software; Buildings; Neural networks; Process design; Prototypes; Resource management; Sensor fusion; Sensor phenomena and characterization; Software testing; Distributed Data Fusion; Dual Node Network Architecture; Performance Evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2005 8th International Conference on
Print_ISBN
0-7803-9286-8
Type
conf
DOI
10.1109/ICIF.2005.1592023
Filename
1592023
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