Sensor Correlation and Data Fusion Theory.
Final rept. 1 Apr 81-30 Jun 84,
ALPHATECH INC BURLINGTON MA
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This report contains a summary of the results of the first two years, and the results obtained during the third year of research in the mathematical problems associated with the analysis and design of Air Force sensor correlation and data fusion systems. These systems play a vital role in the command and control process, but presently there exists no systematic and quantitative methodology for their analysis and design. In the first year of research ALPHATECH investigated an important subproblem the distributed detection problem associated with determining the presence or absence of targets from a collection of distributed sensors. In the second year of research, ALPHATECH obtained novel exact expressions for the probability density function of the local log likelihood ratios used in distributed detection problems, and has used these expressions to generate an extensive set of design curves. In the third year of research, ALPHATECH investigated another important class of problems, namely, sequential distributed detection problems. Three such problems were formulated the infinite horizon decentralized Wald problem a decentralized Quickset Detection problem and a sequential distributed detection problem with communication and ordered stopping times. The qualitative properties of the optimal solution for the decentralized Wald and the decentralized Wald problem and the sequential distributed detection problem with communication were obtained. Author
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