太赫兹科学与电子信息学报, 2020, 18 (1): 43, 网络出版: 2020-04-13  

GNSS中的脉冲干扰自适应空域抑制算法

Pulsed interference adaptive spatial processing algorithm in GNSS
作者单位
北京航空航天大学 电子信息工程学院, 北京 100191
摘要
脉冲干扰对卫星导航是一种有效的干扰形式, 它不是一种连续的干扰形式, 这使得协方差矩阵产生剧烈变化, 从而影响抗干扰算法的性能。以功率反演(PI)和多信号归类(MUSIC)算法为例, 分析了脉冲干扰对空域抗干扰算法性能的影响。在此基础上提出了脉冲干扰自适应抑制方法, 将PI算法与脉冲信号盲识别相结合, 在盲识别脉冲干扰周期的前提下, PI算法以周期的采样点数为快拍数可以有效抑制脉冲干扰。对于多信号归类算法而言, 以最小特征值对应的特征向量为权值, 此方法不需要知道脉冲周期等参数, 只要计算协方差矩阵的点内有高电平的点, 该算法就能有效抑制干扰。
Abstract
This paper mainly studies the effective spatial domain suppression algorithm for pulse interference. Pulse interference is an effective form of interference for Global Navigation Satellite System (GNSS). Pulsed interference is not a continuous form of interference, which causes dramatic changes in the covariance matrix, therefore affects the performance of the anti-jamming algorithm. Power Inversion(PI) and Multiple Signal Classification(MUSIC) algorithms are used as examples to analyze the impact of pulsed interference on performance of spatial anti-jamming algorithm. Combining PI with the blind identification of pulse signals, under the premise of blindly identifying the pulse interference period, the PI algorithm can effectively suppress the pulse interference by taking the number of sampling points of the cycle as the number of snapshots. For MUSIC, eigenvector corresponding to the smallest eigenvalue is used as the weight. It is unnecessary to know the parameters such as the pulse period. As long as the point of high level is calculated in the points of the covariance matrix, the algorithm can effectively suppress interference.

张家连, 郎荣玲, 赵辰乾, 杨燕梅, 李武涛, 路辉. GNSS中的脉冲干扰自适应空域抑制算法[J]. 太赫兹科学与电子信息学报, 2020, 18(1): 43. ZHANG Jialian, LANG Rongling, ZHAO Chenqian, YANG Yanmei, LI Wutao, LU Hui. Pulsed interference adaptive spatial processing algorithm in GNSS[J]. Journal of terahertz science and electronic information technology, 2020, 18(1): 43.

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