Accession Number : ADA111728


Title :   State Estimation of a Hybrid Markov Process with Application to Multitarget Tracking.


Descriptive Note : Master's thesis,


Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS


Personal Author(s) : Bruneau,Franck E


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a111728.pdf


Report Date : Jan 1982


Pagination or Media Count : 145


Abstract : Many estimation problems, including failure detection and multitarget tracking, rely on the state estimation of a hybrid Markov process. An algorithm for estimating the state sequence of such a process must keep the amount of computation at a reasonable level. Techniques are derived for reducing the computational burden, that do not increase the error probability. In a multiple system case, the concept of clustering, which greatly diminished the computational complexity, can be applied without loss of optimality under precise conditions. For the application to multitarget tracking, the computation of an optimal grating is done. (Author)


Descriptors :   *Markov processes , Algorithms , Hybrid systems , Mathematical models , Decision making , Tracking , Estimates , Theses


Subject Categories : Statistics and Probability


Distribution Statement : APPROVED FOR PUBLIC RELEASE