绝对同相支路输出的GNSS欺骗检测

GNSS spoofing detection based on absolute in-phase branch output

关键词:  载波同步  欺骗检测算法  检测概率  欺骗检测  检测性能

Key words:  Carrier synchronous  Spoofing detection algorithm  Detection probability  Spoofing detection  Detection performance

摘要:

针对功率随时间变化，载波同步欺骗场景下，传统检测算法的欺骗检测性能不理想的问题，提出了一种基于绝对同相支路输出求和(SAIBO)的欺骗检测算法，为改善欺骗检测性能，进一步提出了SAIBO滑动平均(SAIBO-MA)算法。SAIBO-MA算法的构建过程使用接收机跟踪环的同相支路的输出结果取绝对值后求和形成SAIBO检测量，再做滑动平均处理后得到SAIBO-MA检测量。实验使用德克萨斯大学奥斯汀分校的德州欺骗测试电池(TEXBAT)的场景7(DS7)为数据集，比较并分析所提算法与传统算法的检测概率、欺骗判决数目和稳健性等欺骗检测性能。实验结果表明，SAIBO-MA具有更高的检测概率和检测精度、更好的即时性和稳健性以及更宽的检测范围。提出的SAIBO-MA算法克服了传统算法的缺点，具有更优的欺骗检测性能。

Abstract:

A spoofing detection algorithm based on sum of absolute in-phase branch outputs(SAIBO) is proposed to address the issue of suboptimal spoofing detection performance of traditional detection algorithms in carrier synchronous spoofing scenarios where power varies over time. To improve spoofing detection performance, the SAIBO-moving average (SAIBO-MA) algorithm is further proposed. The construction process of the SAIBO-MA algorithm uses the output results of the in-phase branch of the receiver's tracking loop to take absolute values and sum them to form the SAIBO detection metric. After performing moving average processing, the SAIBO-MA detection metric is obtained. The experiment uses Data Scenario 7 (DS7) of Texas Spoofing Test Battery (TEXBAT) from the University of Texas at Austin as the dataset, and compares and analyzes the detection probability, number of spoofing decisions, and robustness of the three algorithms for spoofing detection. The experimental results indicate that SAIBO-MA has higher detection probability and accuracy, better immediacy and robustness, and a wider detection range. The proposed SAIBO-MA algorithm overcomes the shortcomings of traditional algorithms and has better spoofing detection performance.