It can handle the information fusion filtering, smoothing and prediction problems in a unified framework.
它可统一处理信息融合滤波、平滑和预报问题。
Specially, they can be applied to solve the self-tuning information fusion filtering problems for systems with unknown model parameters and noise statistics.
特别可用于解决含有未知模型参数和噪声统计系统的自校正信息融合滤波问题。
The general theoretical model and the way to put it into effect of federated filtering for multi-sensor information fusion are researched.
对多传感器信息融合联邦滤波一般理论模型及其实现方法进行了研究。
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