基于卫星导航欺骗干扰的无人机诱捕技术

随着消费级无人机带来的安全威胁日益凸显,无人机反制技术也越来越被重视。首先,介绍市场上主流消费级无人机内置的"禁飞区"功能限制。其次,介绍生成式卫星导航欺骗干扰信号的生成及欺骗无人机定位在"禁飞区"区域内,从而实现诱捕无人机的原理。然后,详细介绍一种基于FPGA和AD9361的生成式卫星导航欺骗干扰的无人机诱捕方案设计,并完成硬件电路实现。最后,通过外场试验,成功完成对无人机卫星导航接收机的欺骗干扰,实现对无人机的有效诱捕,验证了本方案设计的正确性。

基于秒脉冲时延检测的卫星导航抗欺骗干扰方法

为了解决卫星导航接收机在导航拒止环境下无法正常导航定位的问题,提出一种基于秒脉冲时延检测的卫星导航抗欺骗干扰方法。首先,在研究卫星导航欺骗干扰特性的基础上,确定欺骗干扰秒脉冲变化的特点。其次,提出一种针对卫星导航抗欺骗干扰方法,利用秒脉冲判断是否受到欺骗干扰,如是则标记剔除并进行重新捕获。最后,通过半物理仿真验证该方法的可行性。结果表明,该方法达到在卫星导航欺骗干扰环境中利用真实卫星信号定位的目的,可用于卫星导航抗欺骗干扰。

多路GNSS欺骗干扰互相关噪声模型

为开展GNSS欺骗干扰源定位研究,构建了多路GNSS欺骗干扰互相关噪声模型。分析了欺骗干扰原理并给出了信号模型;通过对噪声构成和规律的分析,研究建立了PRN码间互相关噪声模型;利用信噪比和欺骗信号方位角分布进行描述。仿真结果显示,多路GNSS欺骗干扰中码间互相关噪声,在接收通道噪声中的比重随欺骗信号功率增加趋于100%。这表明测向精度与多路GNSS欺骗信号功率是一组矛盾,实际测向结果可通过欺骗信号信噪比寻优。

GNSS spoofing detection based on uncultivated wolf pack algorithm

In order to solve the problem that the global navigation satellite system（GNSS） receivers can hardly detect the GNSS spoofing when they are deceived by a spoofer,a model-based approach for the identification of the GNSS spoofing is proposed.First,a Hammerstein model is applied to model the spoofer/GNSS transmitter and the wireless channel.Then,a novel method based on the uncultivated wolf pack algorithm（UWPA） is proposed to estimate the model parameters.Taking the estimated model parameters as a feature vector,the identification of the spoofing is realized by comparing the Euclidean distance between the feature vectors.Simulations verify the effectiveness and the robustness of the proposed method.The results show that,compared with the other identification algorithms,such as least square（LS）,the iterative method and the bat-inspired algorithm（BA）,although the UWPA has a little more time-eomplexity than the LS and the BA algorithm,it has better estimation precision of the model parameters and higher identification rate of the GNSS spoofing,even for relative low signal-to-noise ratios.

Jamming and spoofing interferences suppression technique for satellite navigation receiver

A satellite navigation receiver that can suppress jamming interference and spoofing interference simuhaneously is designed in this paper. An anti-jamming improved constrained spacial adaptive processing algorithm in signal processing and an anti-spoofing M-estimator based extended Kalman filter algorithm in information processing are proposed respectively. Simulations of the integral designed anti-interferences satellite navigation receiver demonstrate that the designed anti-interferences receiver can suppress jamming signals efficiently （ above 40 dB） and ensure the normal reception of satellite signals while satellite signals and jamming signals have the similar direction of arrival （ almost 10° ）. The designed anti-interference receiver can effectively eliminate the influence of spoofing signals on the navigation solution accuracy and maintain high accuracy of position and velocity estimation, which improves the anti-jamming and anti-spoofing capability of the satellite navigation receiver.