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作 者:胡京林[1] 谢文俊[1] 李俊涛[1] 张鹏[1]
机构地区:[1]空军工程大学航空航天工程学院,陕西西安710038
出 处:《计算机仿真》2015年第8期225-229,共5页Computer Simulation
基 金:陕西省自然科学基础研究计划项目(2012JQ8010)
摘 要:研究无人机中继通信系统中定向天线的实时高精度对准问题。为提高地面通信站的安全性,并克服传统对准算法难以实时确定高空高速无人机的精确位置而造成定向天线难对准的问题,提出了用于定向天线对准的基于异步双模式融合算法。上述算法按照不同的触发方式采用不同步长实现定向天线对准,首先利用基于目标的运动补偿预测对准算法实现天线对准角度的概略确定,之后采用基于信道增益的波束引导对准算法,进一步降低通信延迟对天线对准的影响,有效提高对准精度和可靠性。仿真验证表明,该融合算法通过综合两种算法的优点,能显著提高定向天线的对准精度和系统可靠性。改进算法能够满足实时确定无人机的精确位置,实现定向天线的高精度对准和高可靠通信。The alignment accuracy of directional antenna plays an important role in UAV relay communication performance. Aiming to improve the alignment ability to adapt the UAV's high speed and ground base security, an a- synchronous muhimode fusion algorithm was proposed. With different triggering methods, the algorithm can realize the antenna alignment in highly accuracy. Firstly, a broad region was calculated by using the target - based align- ment algorithm. Then Gain - based alignment algorithm was used to improve the reliability and accuracy. Finally, through the simulation experiment, the asynchronous multimode fusion algorithm shows good performance in reducing the communication delay influence and improving the alignment accuracy of directional antenna. The algorithm can obtain the UAV's accurate position and satisfy the system performance requirement.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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