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Next: Estimation of K Tracks Up: Trellis Structure Approach to Previous: Candidate Track Sets

Bayesian Track Estimation

First we will assume that K is known and consider the problem of estimating K tracks at time n from the measurement data ${\cal Z}^n$. We will then extend this to the unknown K problem.



 

Rick Perry
1999-03-10