asynchronous sensor data fusion 异类传感器信息融合
In view of the heavier calculation burden and worse real-time of asynchronous fusion center, a multi-sensor asynchronous data fusion algorithm based on estimate covariance control was proposed.
针对异步融合中心计算量大、实时性差的问题，基于估计协方差控制理论提出了一种多传感器异步数据融合算法。
Due to the reasons of sensors in itself and the communication delays, the research of the asynchronous multisensor data fusion problem is more practical than that of synchronous one.
由于传感器自身以及通信延迟等原因，使得异步多传感器数据融合问题比同步问题的研究更切合实际。
Currently there exist several asynchronous measurement fusion algorithms, namely, firstly strict synchronizing sensors asynchronous data and deal with them with parallel or pseudo-sequential filter.
归纳几种多传感器异步量测融合算法，即首先将各传感器异步数据统一到同一时刻，再对该数据进行并行或伪序贯滤波处理。
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