Kalman Filter Algorithm for Adaptive Digital Predistortion

摘要：

　　This paper introduces a recursive algorithm of Kalman filter for digital predistorter parameters extraction based on memory polynomials predistorter model.The predistorter model is firstly formulated as linear regression expression.Then we derive the state-space equation of the model and attain the steps of the algorithm.Finally,the accuracy and stability of the algorithm is proved by simulation.

关键词： Key words-digital predistorter memory-polynomials model Kalman filter state-space equation LMS

作者: Xiaowei Kong Jinzheng Li Wei Xia Zishu He

作者单位: School of Electronic Engineering University of Electronic Science and Technology of China Chengdu,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2284-2287

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）