AUTHORS: Paopat Ratpunpairoj, Waree Kongprawechnon
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ABSTRACT: An adaptive waveform is optimized in order to maximize the information returned from the targets, then the targets informaion is approximated by using a particle filter. This study propose a method to due with the uncertainties due to the dynamics of the targets, e.g., when the number of moving targets is unknown and changing over time. Thus, A decay constant is added to the estimated prior target information before optimizing the waveform by minimizing Cramer-Rao Lower Bound. Jeffreys prior is used to weight the parameters of each ´ targets. Furthermore, the dynamic state space of the targets is estimated by a particle filter. Finally, the simulation results demonstrate the capability of the system to track targets.
KEYWORDS: cognitive system, adaptive waveform, particles filter
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