This paper presents a new method of multisensor data fusion for measuring the temperature based on parameter estimation, and gives the data fusion algorithm.
本文提出了一种基于多传感器参数估计数据融合的热处理炉温度测量方法，给出数据融合算法。
The method based on joint parameter estimation shows preferable performance almost at all times, in cases of various number of targets and various type of signal envelope.
基于参数联合估计的多目标定位方法在不同目标数目、不同信号包络的定位实验中都有较好的表现。
This paper proposed a new method for parameter estimation based on genetic algorithms (GA) for linear systems in the case of its coefficient matrix with uncertain disturbance.
对于线性系统，本文针对其系统矩阵a存在一类不确定性扰动的情况，提出了一种基于遗传算法(GA)的新的参数估计方法。
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