高动态跳频载波跟踪技术

doi:10.12305/j.issn.1001-506X.2022.02.39

摘要/Abstract

摘要：

在无人机或导弹等高速运动目标间建立稳定、可靠的通信链路, 需要突破高动态下的载波跟踪技术, 考虑跳频通信系统的突发传输模式, 本文提出基于开环最大似然估计(maximum likelihood estimation, MLE)和扩展卡尔曼滤波跟踪算法的高动态载波信号跟踪技术。通过理论和仿真分析证实了该算法可有效克服传统环路的缺点, 能够在低载噪比下稳定工作且跟踪频率误差小, 可快速实现高动态环境下载波跟踪。尤其对于初速度为300 m/s, 初始加速度为15g, 加加速度为每秒60g的高动态场景, 本算法在低载噪比为35 dB-Hz时锁定不同跳频频率的锁定时间缩短到传统算法的1%~20%, 效果显著。

关键词: 载波跟踪, 最大似然估计, 高动态, 扩展卡尔曼滤波器

Abstract:

In order to establish a stable and reliable communication links between unmanned aerial vehicle or missiles, we need to breakthrough under high dynamic carrier capture and tracking technology. Considering the emergency of frequency hopping communication burst transfer mode, an open loop of maximum likelihood estimation (MLE) and extended Kalman filter is a favorable choice to realize the carrier tracking in high dynamic environment. Through theoretical analysis and simulation, it is proved that the algorithm is overcome the drawback of traditional loop. Simulation results show that the tracking technology can work steadily in the low carrier to noise ratio circumstance, and can quickly realize the carrier tracking at low error rate of carrier tracking frequency in high dynamic environment. For the high dynamic scene with initial speed of 300 m/s, initial acceleration of 15g and jerk of 60g per second, the capture and tracking time of this algorithm is reduced to 1%~20% of the traditional loop algorithm when the low carrier to noise ratio is 35 dB-Hz.

Key words: carrier tracking, maximum likelihood estimation (MLE), high dynamic, extended Kalman filter

中图分类号:

TN911

刘艺, 周晓雄, 程广俊. 高动态跳频载波跟踪技术[J]. 系统工程与电子技术, 2022, 44(2): 677-683.

Yi LIU, Xiaoxiong ZHOU, Guangjun CHENG. High dynamic carrier tracking technology in frequency hopping systems[J]. Systems Engineering and Electronics, 2022, 44(2): 677-683.

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方法	时间/ms
方法	400	800	1 200	1 600	2 000	2 400	2 800	3 200	3 600	4 000
传统	1.52	5.21	2.35	0.83	6.08	2.98	4.61	6.35	4.09	3.26
改进	0.64	4.51	1.75	0.75	4.88	1.07	3.39	4.95	2.96	2.05

方法	时间/ms
方法	400	800	1 200	1 600	2 000
传统	123	202	197	1 674	1 827
改进	24	64	13	33	9

方法	时间/ms
方法	2 400	2 800	3 200	3 600	4 000
传统	2 634	3 516	2 543	3 856	4 253
改进	18	35	27	42	11

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