GNSS spoofing signal parameters estimation based on Newton’s method
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摘要: 欺骗干扰是全球卫星导航系统(GNSS)发展面临的重要挑战，针对小时延场景下欺骗干扰参数估计方法计算量大的问题，提出了一种基于牛顿迭代法的参数估计方法. 该方法以码相位估计为核心，通过构建欺骗场景下信号参数的非线性估计模型，采用牛顿迭代法对信号码相位进行估计，在此基础上采用最小二乘法对信号幅度和载波相位进行估计. 实验结果表明：该方法的平均迭代次数在10次左右，相比于传统参数估计方法，算法有效性大幅提升. 在准确性方面，该方法能够有效提高小时延场景下的信号参数估计精度.
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关键词:
- 全球卫星导航系统(GNSS) /
- 欺骗干扰 /
- 参数估计 /
- 牛顿迭代法 /
- 最大似然估计(MLE)
Abstract: Spoofing interference is a major threat to the development of Global Navigation Satellite System (GNSS) applications. In order to solve the large computation resource consumption problem of estimation methods, this paper proposed a spoofing signal parameters estimation method based on Newton’s method. This method constructed a nonlinear estimation model of signal parameters in the spoofing scenario, taking the estimation of code phases as the core. The code phases were iterated by Newton’s method, and the signal amplitudes and carrier phases were estimated by the least square method. The simulation results showed that the average number of iterations was about 10, greatly improving the effectiveness of signal parameters estimation compared with the traditional estimation method. Moreover, this method could also improve the estimation accuracy in the small delay scenarios. -
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