Space-Time Adaptive Processing (STAP), Least Mean Square (LMS), computational complexity, frequency domain filter
In wireless communication, the space-time anti-jamming method is widely applied because it shows better performance than the pure airspace and pure temporal anti-jamming methods. However, its application is limited by its computational complexity, and it cannot suppress narrowband interference that is in the same direction as the navigation signal. To solve these problems, we propose improved frequency filter to filter the narrowband interference from the desired signal direction in advance, meanwhile, an improved variable step Least Mean Square (LMS) method is proposed to complete the space-time array weights with fast iteration, thereby reducing computational complexity. The simulation results show that, compared with conventional methods, the anti-jamming capability of the proposed algorithm is significantly enhanced; and its complexity is significantly reduced.
Tsinghua University Press
Dengao Li, Jinqiang Liu, Jumin Zhao et al. An Improved Space-Time Joint Anti-jamming Algorithm Based on Variable Step LMS. Tsinghua Science and Technology 2017, 22(5): 520-528.