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受证据理论的启发,提出了一种新的传感器数据融合算法.借鉴证据理论中的基本信任分配思想和证据组合思想,将所有测量值构成的集合视为辨识框架,并对各个测量值的精度进行判断,在此基础上将各个测量值分别转换为相应的证据;再利用基于冲突分配法的证据组合规则对所有证据进行组合,所得合成证据的Mass函数即为各个测量值的权值分配函数;最后对所有测量值进行加权求和得到融合结果.算例仿真和实际应用均验证了所提方法的有效性.
Inspired by the evidence theory, a new sensor data fusion algorithm is proposed.According to the theory of basic trust distribution and evidence combination in evidence theory, the set of all measured values is regarded as the identification framework, and the accuracy of each measurement value And then all the measured values are converted into the corresponding evidences respectively. Then, all the evidences are combined by the rule of evidence combination based on the conflict distribution method. The resulting Mass function of synthetic evidence is the weight distribution function of each measured value Finally, the weighted sum of all the measured values is obtained to obtain the fusion result.The simulation results and practical applications both verify the effectiveness of the proposed method.