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空间飞行器太赫兹天线指向误差补偿算法

Research on the Compensation Algorithm for the Pointing Error of Terahertz Antenna of Aircraft
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摘要 空间飞行器指向误差严重影响太赫兹通信链路的可靠性,因此针对捕获、跟踪和瞄准系统不能对太赫兹天线指向误差实现完全补偿造成误差残留的问题,提出了对指向误差影响下的接收信号进行再次算法补偿的方案,评估了典型空间飞行器指向误差条件下算法的补偿效果。首先,建立指向误差影响下的信道模型,并分析指向误差带来的误比特率。然后,对比盲均衡(CMA)算法、自适应滤波算法(LMS、RLS)、卡尔曼滤波(KF)算法和粒子(PF)滤波算法的补偿效果。结果表明,粒子滤波算法的补偿效果是最优的,以OLYMPUS飞行器为例,PF算法比CMA算法、LMS和RLS算法、KF算法分别提高了3.07 d B、1.07 d B、1.01 d B、0.43 d B。 The pointing error of aircrafts seriously affects the reliability of the terahertz(THz) communication link. Therefore, aiming at the problem that the acquisition, tracking and pointing(ATP) system can not fully compensate the pointing error of terahertz antenna and cause the residual error, this paper proposes a scheme using the algorithmic compensation for the received signal affected by the pointing error, and evaluates the compensation effect of the algorithm under the pointing error condition of the typical aircraft. Firstly, a channel model under the influence of pointing error is established, and the bit error rate(BER) caused by pointing error is analyzed. Then, the compensation effects of blind equalization(CMA) algorithm, adaptive filter(LMS, RLS) algorithm, Kalman filter(KF) algorithm and particle filter(PF) algorithm are compared. The results show that the compensation effect of PF algorithm is the best. Taking Olympus aircraft as an example, PF algorithm is 3.07d B, 1.07d B, 1.01d B and 0.43d B higher than the CMA algorithm, LMS and RLS algorithms, and KF algorithm respectively.
作者 曹冬平 井庆丰 仲伟志 CAO Dongping;JING Qingfeng;ZHONG Weizhi(College of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 210000,China;Shanghai Aerospace Electronic Technology Institute,Shanghai 201109,China)
出处 《移动通信》 2022年第12期31-38,共8页 Mobile Communications
基金 国家重大科学仪器设备开发专项(61827801)。
关键词 太赫兹天线 指向误差 误比特率 卡尔曼滤波 粒子滤波 THz antenna pointing error BER Kalman filter Particle filter
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