基于Bayes估计的多传感器最优融合

本研究了多传感器数据融合技术的一种方法融合方法以Bayes估计理论为基础，并对数据进行了一致性检验，得到了多传感器最优融合数据，提高了数据的精确度。实际应用结果验证了算法的准确性，并进行了Matlab仿真，这种数据融合方法计算简便，可以获得比有限个传感器的算术平均值更准确的测量结果．具有较高的可靠性，可用于测量结果具有正态分布特性的多传感器测量系统。

Multi-sensor Optimum Fusion Based on Bayes Estimation

A method of multi-sensor data fusion technology is introduce in this paper.Bases on Bayes estimation theory,goes on consistency inspection to data,gained the best fusion data of multi-sensor,has improved the accuracy of the data.The example verifies the accuracy of the algorithm,and has carried on Matlab emulation.This kind of data fusion method to calculate simply and conveniently,can get the measurement result with more accurate than arithmetic mean that of limited sensors.The algorithm has higher dependability,can be used in multi-sensor measuring systems with normal distribution characteristic measurement result.