基于BP神经网络的定位系统的误差补偿

Error compensation for positioning system based on BP neural networks

差网络仪分析基于影像测量仪的定位系统中的误差来源和以往的误差补偿方法的局限性,从而提出基于BP神经网络的定位误差补偿方法。实验结果证明,基于BP神经网络的定位误差补偿方法对定位系统的误差补偿具有明显的效果,补偿后能较大的减小定位系统的位置误差,能够满足定位精度的要求。

The main error sources and the limitations of conventional error compensation for positioning system based on image measuring instrument. So the compensation method of position error based on neural network is presented. The experimental results show that the compensation method of position error based on neural network has an obvious effect on position error of positioning system and positioning error of positioning system can be reduced greatly after compensation, which meets the demand of positioning accuracy.