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文件名称:PHD and CPHD Filtering With Unknown Detection Probability.pdf
文件大小:1.76MB
文件格式:PDF
更新时间:2022-12-10 09:30:52
随机有限集 目标跟踪
A priori knowledge of target detection probability
is of critical importance in the Gaussian mixture probability hypothesis
density (PHD) and cardinalized PHD (CPHD) filters. In
addition, these two filters require that the process noise and measurement
noise of the state propagated in the recursion be Gaussian.
These limitations may restrict the two filters application in
real problems. To accommodate unknown target detection probability
and nonnegative non-Gaussian parameters, this paper propos