Sun Kewen, Jin Tian, Yang Dongkai
School of Computer and Information, Hefei University of Technology, Tunxi Road 193, Hefei 230009, China.
School of Electronic and Information Engineering, Beihang University, XueYuan Road 37, Beijing 100191, China.
Sensors (Basel). 2015 Apr 21;15(4):9404-26. doi: 10.3390/s150409404.
In this paper, an improved joint time-frequency (TF) analysis method based on a reassigned smoothed pseudo Wigner-Ville distribution (RSPWVD) has been proposed in interference detection for Global Navigation Satellite System (GNSS) receivers. In the RSPWVD, the two-dimensional low-pass filtering smoothing function is introduced to eliminate the cross-terms present in the quadratic TF distribution, and at the same time, the reassignment method is adopted to improve the TF concentration properties of the auto-terms of the signal components. This proposed interference detection method is evaluated by experiments on GPS L1 signals in the disturbing scenarios compared to the state-of-the-art interference detection approaches. The analysis results show that the proposed interference detection technique effectively overcomes the cross-terms problem and also preserves good TF localization properties, which has been proven to be effective and valid to enhance the interference detection performance of the GNSS receivers, particularly in the jamming environments.
本文提出了一种基于重分配平滑伪维格纳-威利分布（RSPWVD）的改进联合时频（TF）分析方法，用于全球导航卫星系统（GNSS）接收机的干扰检测。在RSPWVD中，引入二维低通滤波平滑函数以消除二次时频分布中存在的交叉项，同时采用重分配方法来改善信号分量自项的时频聚集特性。与现有最先进的干扰检测方法相比，通过在干扰场景下对GPS L1信号进行实验，对所提出的这种干扰检测方法进行了评估。分析结果表明，所提出的干扰检测技术有效地克服了交叉项问题，并且还保留了良好的时频定位特性，这已被证明对于提高GNSS接收机的干扰检测性能是有效且可行的，特别是在干扰环境中。
