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基于伪距信息的GNSS双接收机抗转发式干扰检测算法
引用本文:刘科,吴文启,唐康华,武智佳,张施豪. 基于伪距信息的GNSS双接收机抗转发式干扰检测算法[J]. 系统工程与电子技术, 2017, 39(11): 2393-2398. DOI: 10.3969/j.issn.1001-506X.2017.11.01
作者姓名:刘科  吴文启  唐康华  武智佳  张施豪
作者单位:国防科技大学机电工程与自动化学院, 湖南 长沙 410073
摘    要:在协同应用的背景下,提出基于伪距信息的全球卫星导航系统(global navigation satellite system,GNSS)双接收机抗欺骗干扰检测算法。首先,建立真实信号与欺骗干扰信号的信号模型,进而得到伪距双差模型。然后,利用卫星钟差计算公式得到卫星钟差双差计算模型。根据载噪比选择卫星信号,对测量伪距进行修正并利用最小二乘法进行导航定位解算,得到载体在ECEF坐标系中的位置。由测量伪距结合导航电文计算得到卫星的位置,进而得到卫星与载体之间的距离。最后由伪距双差、卫星与载体的距离双差以及卫星钟差双差计算得到误差值,基于误差值的明显差异性实现对信号的检测与判别。利用双接收机进行实际试验并结合Matlab进行仿真实验,仿真结果验证了算法的有效性和可行性,对试验中的欺骗干扰信号均能有效识别。


GNSS dual-receiver against repeater deception jamming detection algorithm based on pseudo-range information
LIU Ke,WU Wenqi,TANG Kanghua,WU Zhijia,ZHANG Shihao. GNSS dual-receiver against repeater deception jamming detection algorithm based on pseudo-range information[J]. System Engineering and Electronics, 2017, 39(11): 2393-2398. DOI: 10.3969/j.issn.1001-506X.2017.11.01
Authors:LIU Ke  WU Wenqi  TANG Kanghua  WU Zhijia  ZHANG Shihao
Affiliation:College of Mechatronics Engineering and Automation, National University of;Defense Technology, Changsha 410073, China
Abstract:Under the background of cooperation, a global navigation satellite system (GNSS) dual-receiver anti-spoofing detection algorithm based on pseudo-range information is proposed. Firstly, the real signal model and the deception jamming signal model are established, and then the pseudo-range double differences model is obtained. Secondly, using the satellite clock bias formula can get its double differences calculation model. The vehicle’s position in ECEF coordinate can be obtained by using the least square method with corrected pseudo-range which is selected according to the carrier noise power density ratio. The satellite position can be calculated according to the pseudo-range and navigation message, and then the distance between the satellite and the vehicle is achieved. Finally, with the double differences of pseudo-range, the distance between satellite and vehicle and satellite clock bias, error values are calculated, and the signal’s detection can be realized based on the obvious differences. Using two receivers for actual experiments and Matlab for simulation tests, the results validate the effectiveness and feasibility of the algorithm and all the spoofing signals in the tests can be identified.
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