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Consecutive mean excision algorithms in narrowband or short time interference mitigation

机译:窄带或短时干扰缓解中的连续均值切除算法

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Narrowband interference and impulse cancellation are parallel problems in the frequency domain and in the time domain, respectively. This paper presents iterative consecutive mean excision (CME) algorithms that can be used for these purposes. One CME algorithm uses all the data in the initial step whereas a more powerful forward CME (FCME) algorithm uses only a small part of the data. Iteration is shown to be an advantage if compared to noniterative algorithms, but the benefits depend on signals to be cancelled. The CME algorithms also provide a direct way to set the interference detection threshold. The paper discusses the implementation and interference mitigation capability of the CME algorithms. In the simulations their performance is compared to noniterative similar kind of notch filter algorithms in a delay estimation problem. It is shown that these methods offer remarkable interference tolerance improvements especially against very narrowband interference and about 40 dB improvements in tolerable interference-to-signal ratio for interference whose bandwidth is up to 40 % of the bandwidth of the desired signal. It is also shown that averaging is an important element in interference cancellation in delay estimation if the bandwidth of the interference exceeds 10 % of the bandwidth of the desired signal.
机译:窄带干扰和脉冲消除分别是频域和时域中的并行问题。本文介绍了可用于这些目的的迭代连续均值切除(CME)算法。一种CME算法在初始步骤中使用所有数据,而功能更强大的正向CME(FCME)算法仅使用一小部分数据。与非迭代算法相比,迭代被证明是一种优势,但优势取决于要消除的信号。 CME算法还提供了一种直接方法来设置干扰检测阈值。本文讨论了CME算法的实现和缓解干扰的能力。在仿真中,将它们的性能与延迟估计问题中的非迭代类似类型的陷波滤波器算法进行了比较。结果表明,这些方法显着改善了干扰容忍度,特别是针对非常窄带的干扰,对于带宽高达所需信号带宽的40%的干扰,可容忍的干扰信号比提高了约40 dB。还显示出,如果干扰的带宽超过期望信号的带宽的10%,则平均是延迟估计中的干扰消除的重要元素。

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