一种稳健的高动态GNSS干扰抑制算法
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河北科技大学 信息科学与工程学院

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TN911.72

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国防科技重点实验室课题,项目编号:6142205190401


A robust GNSS interference suppression algorithm in high dynamic environment
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School of Information Science and Engineering,Hebei University of Science and Technology

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    摘要:

    为了解决高动态环境下干扰信号来向迅速变化并移出波束零陷从而导致抗干扰算法性能下降的问题,提出一种基于零陷展宽并加深的稳健波束形成算法。该算法首先在干扰区间内设置多个虚拟干扰代替单个干扰,然后再通过协方差矩阵前后向空间平滑技术对协方差矩阵进行数据修正。仿真结果表明,该算法不但可以有效加宽并加深干扰信号来向上的零陷,使得阵列有较好的输出信干噪比,并且当干扰来向快速变化时仍保持较强的稳健性。因此当处于高动态环境时,由于本文算法在干扰方向可以产生较宽较深的零陷,且当干扰快速运动时仍然具有较高的阵列输出,故该算法较其他算法相比拥有更好的性能,并具有良好的稳健性。

    Abstract:

    In order to solve the problem that the interference signal changes rapidly in the high dynamic environment and moves out of the null of the beam, which leads to the reduced performance of the anti-interference algorithm, a robust beamforming algorithm based on null broadening and deepening is proposed. The algorithm first set multiple virtual interference in the interference interval instead of a single interference, and then modified the covariance matrix by the covariance matrix forward and backward spatial smoothing technique. Simulation results show that the proposed algorithm can not only effectively widen and deepen the null in the direction of interference signal, but also make the array have good output signal to noise ratio, and still maintain strong robustness when the interference changes rapidly. The proposed algorithm has better performance than other algorithms so is more suitable for high dynamic environments.

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  • 收稿日期:2021-06-15
  • 最后修改日期:2021-10-10
  • 录用日期:2021-12-22
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