| 摘要: |
| 在无线电静默的情况下所有数据链端机无法进行往返校时，这会导致端机间时间同步精度的降低。国内外普遍使用卡尔曼滤波的方法来实现守时优化，但当模型建立不准确时，容易出现滤波发散的现象。提出了一种改进的卡尔曼滤波算法，在自适应渐消卡尔曼滤波渐消因子计算方法的基础上，将其与奇异点剔除技术相结合来防止滤波的发散。该方法计算过程比较简单，满足工程所需的实时性要求。多次仿真实验证明数据链端机可以满足10 m测距所要求的33 ns以内的时间同步精度要求，使得数据链端机在静默结束后可以完成更高要求的任务。 |
| 关键词: 跳频通信 数据链 无线电静默 时间同步 卡尔曼滤波 奇异点剔除 |
| DOI： |
|
| 基金项目: |
|
| Time synchronization optimization of data link terminal under radio silence |
| ZHU Wangchun,ZHANG Wenbo,GAO Haiying |
| (College of Electronic Engineering and Automation,
Guilin University of Electronic Technology,Guilin 541004,China;Teaching Practice Department,
Guilin University of Electronic Technology,Guilin 541004,China) |
| Abstract: |
| In the case of radio silence,all data link terminals cannot perform round-trip calibration,which leads to a reduction in time synchronization accuracy between the terminals.Kalman filtering is widely used at home and abroad to achieve punctuality optimization,but when the model is not accurate,the phenomenon of filter divergence is easy to occur.An improved Kalman filter algorithm is proposed.Based on the adaptive fading Kalman filter fading factor calculation method,it is combined with singular point culling technology to prevent the divergence of the filter.The calculation process of this method is relatively simple and meets the real-time requirements of project.Through multiple simulation experiments,it is proved that the data link end machine can satisfy the time synchronization accuracy requirement of 10 m ranging within 33 ns,which allows the data link terminal to complete more required tasks after the silent state is end. |
| Key words: frequency hopping communication data link radio silence time synchronization Kalman filtering singular point culling |
《电讯技术》编辑部 