A method for target identification includes receiving, at one or more processors, a number of measurements of a target, each measurement from the number of measurements being observed at a predetermined time (zk), a number of target types (T), each one of the number of measurements, each one the number of target type and each one of one or more hidden states, each hidden state (xk) being characterized at the predetermined time, being correlated to one another, providing, using the one or more processors, a first conditional probability distribution, a conditional probability of a target type given a number of measurements, defined inductively, and obtaining an estimate of the target type from the first conditional probability. Systems that implement the method are also disclosed.
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机译：一种用于目标识别的方法，包括在一个或多个处理器处接收目标的多个测量值，其中在预定时间（z k ）观察到的测量值中的每个测量值中，目标类型（T），测量次数中的每一个，目标类型数目中的每一个以及一个或多个隐藏状态中的每一个，每个隐藏状态（x k ）的特征是预定的相互关联的时间，使用一个或多个处理器提供第一条件概率分布，目标类型的条件概率（通过归纳定义给定多个测量值），并从第一个条件获得目标类型的估算值条件概率。还公开了实现该方法的系统。
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