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

Dengao Li; Jinqiang Liu; Jumin Zhao; Gang Wu; Xiaofang Zhao

doi:10.23919/TST.2017.8030541

Tsinghua Science and Technology 2017, 22(5): 520-528 https://doi.org/10.23919/TST.2017.8030541

Open Access | Issue | Published: 11 September 2017

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

Show Author's Information Hide Author's Information Dengao Li(

), Jinqiang Liu, Jumin Zhao, Gang Wu, Xiaofang Zhao

College of Information Engineering, Taiyuan University of Technology, Taiyuan 030600, China.

Keywords:

Space-Time Adaptive Processing (STAP), Least Mean Square (LMS), computational complexity, frequency domain filter

Cite this article:

Li D, Liu J, Zhao J, et al. An Improved Space-Time Joint Anti-jamming Algorithm Based on Variable Step LMS. Tsinghua Science and Technology, 2017, 22(5): 520-528. https://doi.org/10.23919/TST.2017.8030541

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Abstract

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.

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

Show Author's information Hide Author's Information Dengao Li(

), Jinqiang Liu, Jumin Zhao, Gang Wu, Xiaofang Zhao

College of Information Engineering, Taiyuan University of Technology, Taiyuan 030600, China.

Abstract

Keywords: Space-Time Adaptive Processing (STAP), Least Mean Square (LMS), computational complexity, frequency domain filter

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Received: 25 July 2016

Revised: 17 October 2016

Accepted: 20 October 2016

Published: 11 September 2017

Issue date: October 2017

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Acknowledgements

This paper was 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).