摘要
在分析电容成像基本原理和图像重建算法基础上,针对Landweber迭代算法收敛速度慢,本文提出一种基于Tikhonov正则化算法的Landweber迭代法。算法采用Tikhonov正则化算法代替LBP算法作为Landweber迭代法的起始步,并推导出相应的优化迭代步长。经仿真验证,该算法在图像重建收敛速度和抗干扰能力上要高于Landweber迭代法。
On the basis of electrical capacitance tomography principle and the image reconstruction algorithm, a new Landweber iteration algorithm based on Tikhonov regularization is presented. LBP algorithm is replaced by Tikhonov regularization algorithm as the first step of the new method, and an optimized step length is deduced. Experimental simulation results indicate that the algorithm can provide high performance in image convergence speed and antijamming.
出处
《电子测量技术》
2007年第10期61-63,72,共4页
Electronic Measurement Technology
