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Recurrent filtering of non-Gaussian signals in natural conjugate class of distributions

机译:自然共轭分布类别中非高斯信号的递归滤波

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The problem of nonlinear filtering of stochastic signals on the basis of available non-Gaussian observations in discrete time is considered with applications to signal reception in channels with scattering (water, atmosphere). The method of recurrent filtering is proposed which is based on natural conjugate and minimax principles.
机译:考虑到在离散时间可用的非高斯观测值的基础上对随机信号进行非线性滤波的问题,并将其应用到具有散射(水,大气)的通道中的信号接收中。提出了一种基于自然共轭和最小极大值原理的递归滤波方法。

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