一种改进的基于极化敏感阵列的弱信号检测算法
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国家自然科学基金(91638203)


An improved detecting algorithm of weak signals based on polarization-sensitive array
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    摘要:

    针对空间复杂电磁干扰影响下全球导航卫星系统(GNSS)连续性、完好性和可用性方面面临的巨大挑战,基于极化敏感阵列,提出了一种改进的弱压制干扰信号检测算法。首先对各个极化天线阵子接收的实时数据进行空域、频域和极化域的联合处理,然后对各个频域分量的特征值进行降序排列,进而通过全频段的特征值分布曲线准确分离出强干扰环境下的弱信号分量。结果表明,采用基于多级维纳分解的改进最小描述长度(MDL)准则,可以在不进行特征值分解的前提下有效地进行干扰检测,极大降低了检测算法的实现功耗和复杂度,仿真结果也验证了算法的有效性和准确性。改进算法适用于不同的天线阵型,在存在幅相误差的情况下仍有较高的检测概率,具有较大的工程实践价值。

    Abstract:

    Aiming at the problem that the Global Navigation Satellite System (GNSS) is confronted with great challenges in terms of continuity, integrity and usability due to the complex electromagnetic environment, an improved signal detecting algorithm of weak interference based on polarization-sensitive array was proposed. Through the joint-processing in space domain, frequency domain and polarization domain of the real-time data received from antenna elements and the descending processing of eigenvalues in each frequency bin, the weak signals in strong interference environment could be accurately separated and identified by the distribution curve of eigenvalues in the whole frequency domain. The results show that the power consumption and computational complexity were reduced greatly through the improved minimum description length (MDL) criterion based on multistage wiener filter, as the step of eigen-decomposition was omitted. Simulation results also demonstrate the efficiency and accuracy of the proposed method. The improved algorithm can be applied to different antenna arrays, keeps highly effective detecting probability even with amplitude and phase errors, and has high engineering practice value.

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徐少波,张 丹,宋 肖,李新亮,张明程.一种改进的基于极化敏感阵列的弱信号检测算法[J].河北科技大学学报,2020,41(4):296-302

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  • 收稿日期:2020-05-25
  • 最后修改日期:2020-07-19
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  • 在线发布日期: 2020-08-29
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