School of Electronic and Information Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China.
Institute of Unmanned Systems Research, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China.
Sensors (Basel). 2019 Apr 7;19(7):1661. doi: 10.3390/s19071661.
When a global navigation satellite system (GNSS) receiver suppresses interference in a dynamic scene, the direction of the interference signal arriving at the receiver may change rapidly. The null formed by the spatial filtering based on the array antenna will become wider and shallower, and the anti-jamming performance will deteriorate. A null-steering control technique based on a dual projection algorithm is proposed in this paper, which can effectively increase the depth of the null. In this paper, the dynamic model between the interference and the receiver is established first. Based on the model, the rate of change of the arrival direction of the interference is analyzed, and the phenomenon of the spatial filtering null becoming wider and shallower is simulated and verified. Then, the double projection algorithm is introduced to effectively deepen the null. The simulation results show that the proposed method can effectively increase the null depth by 30 to 50 dB, which significantly improves the anti-jamming performance of the spatial filtering in dynamic scenes.
当全球导航卫星系统（GNSS）接收器在动态场景中抑制干扰时，到达接收器的干扰信号的方向可能会迅速改变。基于阵列天线的空间滤波形成的零陷会变得更宽和更浅，抗干扰性能会恶化。本文提出了一种基于双投影算法的零控技术，可有效增加零陷的深度。本文首先建立了干扰与接收器之间的动态模型。基于该模型，分析了干扰到达方向的变化率，并对空间滤波零陷变宽变浅的现象进行了模拟和验证。然后，引入双投影算法有效地加深了零陷。仿真结果表明，所提出的方法可以有效地将零陷深度增加 30 到 50dB，显著提高了动态场景中空间滤波的抗干扰性能。
