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Narrowband signal localization based on enhanced LAD method

机译:基于增强LAD方法的窄带信号定位

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摘要

In this paper, an enhanced localization algorithm based on double thresholds (LAD) is proposed for localizing narrowband signals in the frequency domain. A simplified LAD method is first studied to reduce the computational complexity of the original LAD method without performance loss. The upper and lower thresholds of the simplified LAD method are directly calculated by running the forward consecutive mean excision algorithm only once. By combining the simplified LAD method and binary morphological operators, the enhanced LAD method is then proposed and its performance is simply discussed. The simulation results verify the correctness of discussion and show that the enhanced LAD method is superior to the LAD with adjacent cluster combining method, especially at low signal-to-noise ratio.
机译:本文提出了一种基于双阈值(LAD)的增强定位算法,用于在频域中定位窄带信号。首先研究一种简化的LAD方法,以降低原始LAD方法的计算复杂度,而不会降低性能。通过仅运行一次正向连续均值切除算法,可以直接计算简化LAD方法的上限和下限。通过将简化的LAD方法和二进制形态算子结合起来,提出了改进的LAD方法,并简单地讨论了其性能。仿真结果验证了讨论的正确性,并表明改进的LAD方法优于相邻簇组合方法的LAD,尤其是在信噪比较低的情况下。

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