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- W2565176716 abstract "An effective hybrid approach to the performance evaluation of the probabilistic data association (PDA) method for tracking in clutter is presented. In this approach, a continuous-valued covariance, which is a function of a discrete-valued random variable, is used to characterize the tracking errors in an average sense. This covariance can be calculated offline recursively from a modified Riccati equation, which can be obtained by replacing the measurement-dependent terms in the original stochastic equation with their conditional expected values. This approach has the merit of yielding a quantification of the transients of tracking divergence, as well as better accuracy than previous work. Such an approach is particularly suitable for stability studies of tracking filters. In addition, a quantitative study of the track life problem is conducted, in which the number of validated measurements play a central role. >" @default.
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- W2565176716 date "1990-01-01" @default.
- W2565176716 modified "2023-09-23" @default.
- W2565176716 title "Stability evaluation and track life of the PDAF for tracking in clutter" @default.
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- W2565176716 doi "https://doi.org/10.1109/cdc.1990.204027" @default.
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