一种防碰撞卡尔曼滤波同步定位算法  

An Anti-Collision Kalman Filter Synchronous Location Algorithm

作　　者：雷智杰 沈重[1] Lei Zhijie;Shen Chong(College of Information and Communication Engineering,Hainan University,Haikou 570228,China)

机构地区：[1]海南大学信息与通信工程学院,海南海口570228

出　　处：《海南大学学报（自然科学版）》2021年第4期349-355,共7页Natural Science Journal of Hainan University

基　　金：国家自然科学基金(61861015)。

摘　　要：提出一种防碰撞可纠错的卡尔曼滤波算法.新提出的防碰撞卡尔曼滤波算法采取了不可信输入鉴别,引入了偏离指标作为不可信数据的门限值,在错误发生时可以快速地对数据进行平滑处理,防止较大错误的发生.经过仿真测试和搭建实际测试平台验证,防碰撞卡尔曼滤波算法能取得更好的时钟同步精度和更强的系统鲁棒性,主从基站时钟同步性能得到较大的提升.In the report,an improved Kalman filter clock synchronization algorithm was proposed.The improved Kalman filter algorithm adopts the untrusted input identification and introduces the deviation index as the threshold value of the untrusted data.When errors occur,the data can be smoothed quickly to prevent the occurrence of major errors.The results of the simulation test proved that the improved Kalman filter algorithm can achieve better clock synchronization accuracy and stronger system robustness,and the master-slave base station clock synchronization performance is greatly improved.

关 键 词：超宽带 防碰撞卡尔曼滤波 时钟同步 偏离指标 

分 类 号：TN919.72[电子电信—通信与信息系统]