多传感器数据自适应加权融合估计算法的研究

Study of Adaptive Weighted Fusion EstimatedAlgorithm of Multisensor Data

针对从含有观测噪声的测量数据中估计一个非随机量，本文提出了一种多传感器数据自适应加权融合估计算法，并在理论上证明了该估计算法的线性无偏最小方差性。最后给出了本算法在计算机上的仿真结果，从实际应用上进一步说明了本算法的有效性。

狥or an estimated non-random quantity resulted from surveying data in observed noise, the adaptive weighted fusion estimated algorithm of multisensor data is presented in this paper. It is theoritically proved that this algorithm is linear and unbiased, and has least mean square errors. The simulation results show that effectiveness of the algorithm to practical application.