摘要
在电阻抗断层成像(EITelectrical impedance tomography)技术中,扩展的卡曼估值算法是一种完全不同于传统Newton类算法的新方法,该算法取得了很好的成像效果,但是成像分辨率还不够高,主要原因是该算法数学模型的理论基础存在不足。在前人研究的基础上,对扩展卡曼估值方法进行了修正,并进行了数值仿真,仿真表明修正算法虽然在时间性能上有微小下降,但在提高成像分辨率方面有明显优势。
Extended Kalman Filter algorithm（EKF） is greatly different from traditional Newton-class algorithms, and have high performance when used in EIT problem, but the imaging resolution is still low, and the main reasons for that is the relative poorness in theory base of the mathematic model. So in this paper Modified Extended Kalman Filter algorithm for EIT is proposed, and the new algorithm is proved to have distinct advantages in resolution although it is a little poor in time performance when compared to the EKF.
出处
《电子测量技术》
2010年第1期43-46,共4页
Electronic Measurement Technology
