朱文忠, 蒋华龙, 周述文. 强干扰环境下窄带信号检测滤波优化算法[J]. 微电子学与计算机, 2015, 32(12): 151-154,158.
引用本文: 朱文忠, 蒋华龙, 周述文. 强干扰环境下窄带信号检测滤波优化算法[J]. 微电子学与计算机, 2015, 32(12): 151-154,158.
ZHU Wen-zhong, JIANG Hua-long, ZHOU Shu-wen. Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm[J]. Microelectronics & Computer, 2015, 32(12): 151-154,158.
Citation: ZHU Wen-zhong, JIANG Hua-long, ZHOU Shu-wen. Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm[J]. Microelectronics & Computer, 2015, 32(12): 151-154,158.

强干扰环境下窄带信号检测滤波优化算法

Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm

  • 摘要: 提出一种新的强干扰环境下窄带信号检测滤波算法,通过检测滤波算法存在的问题,建立强干扰环境下的信号模型,对信号序列进行快速傅里叶变换及进行频域处理,对经频域处理后的信号再此进行快速傅里叶变换,获取频域中最强信号的幅度,并进行能量归一化处理和逆向频移,得到滤波后的原信号,实现强干扰环境下窄带信号的检测滤波.仿真实验结果表明,采用所提方法进行窄带信号检测得到的信号质量好,效率高.

     

    Abstract: A new narrowband signal detection algorithm is put forward. The strong interference environment problems are solved by examining filtering algorithm, and strong interference environment signal model is set up. Fast Fourier transform of signal sequence and the frequency domain processing are finished. After the signal received the frequency domain processing, it experenced the fast Fourier transform, and the strongest signal amplitude was obtained. After filtering of the original signal, narrow-band signal was realized under strong interference environment detection filter. Simulation experimental results show that the proposed method is adopted to improve the narrowband signal detection of signals are of good quality and high efficiency.

     

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