基于箕舌线可变步长LMS的空频抗干扰算法
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1.天津航海仪器研究所,天津 300131;2.南开大学人工智能学院,天津 300350

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A Space-Frequency Anti-jamming Algorithm Based on Variable Step LMS of Tongue-Like Curve Function
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1.Tianjin Institute of Marine Instruments, Tianjin 300131, China;2.College of Artificial Intelligence, Nankai University,Tianjin 300350, China

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    摘要:

    针对空频最小均方(Least mean square,LMS)算法抗干扰性能与收敛速度不能兼顾的问题,提出了一种基于箕舌线可变步长LMS的空频抗干扰算法,简称空频基于箕舌线的可变步长LMS算法(Variable step LMS of tongue-like curve function,TLCVSLMS)算法。在兼顾抗干扰性能与收敛速度的基础上,空频TLCVSLMS算法避免了针对每一个频点人为地选取合适的固定迭代步长因子μ的困难,并根据不同频点的信号功率,对箕舌线函数的幅度因子与形状因子作更精细的调节。仿真实验表明,在抗干扰性能接近的情况下,空频TLCVSLMS算法比空频LMS算法少迭代至少400点,空频TLCVSLMS算法的收敛速度更快,而在收敛速度相同的情况下,空频TLCVSLMS算法比空频LMS算法的抗干扰性能提升至少3 dB以上。

    Abstract:

    To solve the problem that the space-frequency algorithm based on least mean square (LMS) cannot consider the anti-jamming performance and the convergence speed simultaneously, a space-frequency anti-jamming algorithm based on variable step LMS of tongue-like curve function is proposed as space-frequency variable step LMS of tongue-like curve function(TLCVSLMS) algorithm. On the basis of both anti-interference performance and convergence speed, the space frequency TLCVSLMS algorithm avoids the difficulty of artificially selecting a suitable fixed iterative step size factor for each frequency point, and makes more precise adjustments to the amplitude factor and shape factor of the tongue line function based on the signal power of different frequency points. Simulation results show that, when the anti-interference performance is close, the space-frequency TLCVSLMS algorithm has at least 400 fewer iterations than the space-frequency LMS algorithm, and the convergence speed of the space-frequency TLCVSLMS algorithm is faster. When the convergence speed is proximate, the anti-interference performance of the space-frequency TLCVSLMS algorithm is improved at least 3 dB than the space-frequency LMS algorithm.

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郭辰锋,舒东亮,路寅,靳小琴.基于箕舌线可变步长LMS的空频抗干扰算法[J].数据采集与处理,2023,38(6):1319-1330

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  • 收稿日期:2022-06-28
  • 最后修改日期:2023-02-13
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  • 在线发布日期: 2023-12-08