基于LMS算法的多传感器数据加权融合方法

针对目前多传感器数据融合过程中，传感器观测噪声不易确定，提出了一种基于LMS算法的多传感器自适应加权数据融合方法。该方法将传感器最优加权系数的求解，转化为估计值的均方误差性能表面的最优解搜索，通过加入自适应阶段，采用自适应最小均方误差（LMS）算法调整传感器加权系数。仿真结果表明该方法的有效性。

Multi-sensor weighted data fusion method using LMS algorithm

For the optimal weighed fusion of multi-sensor data with the variance of the observation error is unknown and variant, this paper presents a new multi-sensor weighed data fusion method based on LMS（Leanest Mean Square）algo-rithm. This method converts the optimal weighed fusion of multi-sensor data to the optimal solution search on the perfor-mance surface of mean square error of estimated value. Adaptive LMS algorithm is applied to adjust the weighting coeffi-cient of sensor. Simulation results show the effectiveness of this method.