Estimation With Multisensor/Multiscan Detection Fusion
Final rept. 1 Mar 1992-28 Feb 1993
CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL AND SYSTEMS ENGINEERING
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This first topic deals with a new procedure to carry out nonlinear transformations commonly encountered in practical surveillance systems, that eliminates the bias and provides a correct rather than optimistic covariance matrix. The topics covered in sections 2, 5 and 6 deal with discrete optimization assignment techniques applied to various multisensor-multitarget problems, including ballistic missile track initiation from a passive orbiting sensor. Section 3 presents some new efficient factorization algorithms that improve the numerical accuracy for several advanced state estimation filters used in practice. Section 4 deals with evaluation of performability measure of complex manufacturing systems.
- Miscellaneous Detection and Detectors
- Target Direction, Range and Position Finding