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Development of an Analysis Logic for Electronic Warfare Effectiveness Evaluation

Clifford Joseph Trimble

出版	Texas A & M University, 1970
URL	http://books.google.com.hk/books?id=kR1KHAAACAAJ&hl=&source=gbs_api

註釋

The major objectives of this research are to develop an analysis process to relate procedures used by attacking air strike forces - the offense - to effectiveness achieved in electronic warfare engagements and to provide a workable computer model to support the analysis process. To clarify the nature, intention, and significance of electronic warfare, an introduction and brief historical development is presented which traces the concept from the early days of World War II to the present. The methodology applied in the process is reported by initially specifying some essential concepts of multivariate analysis then presenting extensive developments of principal component analysis and linear multiple regression. Seemingly, the analysis required is well suited to standard multiple regression techniques, but certain problem areas and deficiencies in regression methodology are discussed. To overcome these, an approach is derived to dilate and implement a technique suggested by M.G. Kendall for the adaptation and application of the use of principal components in regression theory. Based on the new approach, appropriate calculations to formulate the model are developed and presented in detail. The analysis furnished by the model depicts the relationships between degradation of victim radar performance -track error - and various situation variables corresponding to offensive tactics. It admits an iterative procedure for determining the principal components involved with the situation variables and an orthogonal regression situation in which the principal components become the linear regressors. Suitable transformations provide the final results in terms of the original situation variables. Experiments used in determining correctness, selecting variables, and testing the ability of the model to provide reasonable results are reported. The work concludes with research recommendations to extend the scope and utility of the approach.