An Improved Space-Time Joint Anti-jamming Algorithm Based on Variable Step LMS  

作　　者：Dengao Li Jinqiang Liu Jumin Zhao Gang Wu Xiaofang Zhao Dengao Li Jinqiang Liu Jumin Zhao Gang Wu Xiaofang Zhao

机构地区：[1]College of Information Engineering,Taiyuan University of Technology

出　　处：《Tsinghua Science and Technology》2017年第5期520-528,共9页清华大学学报（自然科学版（英文版）

基　　金：supported by the National High-Tech Research and Development (863) Program of China (No.2015AA016901);the International Cooperation Project of Shanxi Province (No.201603D421012);the National Natural Science Foundation of China (Nos.61371062, 61572346, and 61303207)

摘　　要：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.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.

关 键 词：Space-Time Adaptive Processing （STAP） Least Mean Square （LMS） computational complexity frequency domain filter 

分 类 号：TN97[电子电信—信号与信息处理]