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基于变步长LMS算法的空域抗干扰技术研究
引用本文:郑博文,刘昊,翟高伟,孟明珠,李昊鹏. 基于变步长LMS算法的空域抗干扰技术研究[J]. 遥测遥控, 2024, 45(4): 75-80
作者姓名:郑博文  刘昊  翟高伟  孟明珠  李昊鹏
作者单位:北京遥测技术研究所 北京 100076
摘    要:信息传输的可靠性、安全性和实时性在国防应用中至关重要。针对复杂且电磁干扰强的战场环境下所需有用信息无法准确接收以及多模块集成化等问题,本文创建函数,经蒙特卡洛实验计算出参数最优值,提出了一种基于椭圆函数的变步长LMS自适应波束形成算法。对比本文算法与其他算法达到稳态的时间,结果表明:在保证稳态误差的前提下,该算法在收敛速度上优于已有的变步长LMS算法,并且运算量小。通过模拟不同来波方向的干扰信号绘制波束方向图,仿真结果证明本文算法指向性强,对干扰的抑制度高,可以实现对有用信号有效地接收、干扰信号有效地抑制及设备集成化小型化的需求。

关 键 词:蒙特卡罗  椭圆函数  自适应波束形成  收敛速度  集成化
收稿时间:2024-02-28
修稿时间:2024-05-17

Research on Airspace Anti-jamming Technology Based on Variable Step Size LMS Algorithm
ZHENG Bowen,LIU Hao,ZHAI Gaowei,MENG Mingzhu,LI Haopeng. Research on Airspace Anti-jamming Technology Based on Variable Step Size LMS Algorithm[J]. Telemetry & Telecontrol, 2024, 45(4): 75-80
Authors:ZHENG Bowen  LIU Hao  ZHAI Gaowei  MENG Mingzhu  LI Haopeng
Affiliation:Beijing Research Institute of Telemetry, Beijing 100076, China
Abstract:The reliability, security, and real-time of information transmission are crucial in defence application. Aiming at the problems that the useful information required cannot be accurately received in the battlefield environment with complex and strong electromagne-tic interference as well as multi-module integration, this paper creates a function, calculates the optimal value of the parameters through Monte Carlo experiments, and proposes a variable step size LMS adaptive beam forming algorithm based on elliptic function. Compared with other algorithms, the results show that the proposed algorithm is superior to the existing variable step size LMS algorithm in convergence speed under the premise of ensuring steady-state error, and the computational complexity is small. By simulating the interference signals of different incoming wave directions to draw the beam direction map, the simulation results show that this paper’s algorithm pointing strong, high interference suppression system, can achieve the effective reception of useful signals, effective suppression of interfering signals and equipment integration and miniaturization of the demand.
Keywords:Monte Carlo  Elliptic function  Adaptive digital beamforming  Convergence speed  Integration
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