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The degradation of higher order spectral detection using narrowband processing

机译:使用窄带处理的高阶频谱检测性能下降

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In certain scenarios, higher order statistic (HOS)-based detectors exploiting the Gaussian noise rejection property of HOS have been shown to have performances superior to widely used second-order (SOS) techniques. However, a crucial limitation on these detectors that has not been addressed is a constraint on the processing bandwidth. We study the effects of commonly used narrowband processing on these detectors. As the processing bandwidth is decreased, we characterize the tradeoff between HOS and SOS detectors and demonstrate that the performance of HOS detectors degrades faster than that of SOS ones. We then consider distributed wideband detection by a bank of local narrowband detectors whose decisions are fused together. Given a fixed-bandwidth input signal, we show that as the number of local detectors increases, corresponding to a decreasing amount of bandwidth for each local detector, the performance of such a scheme using HOS local detectors degrades more quickly than a scheme using SOS ones.
机译:在某些情况下,利用HOS的高斯噪声抑制特性的基于高阶统计量(HOS)的检测器已显示出优于广泛使用的二阶(SOS)技术的性能。但是,尚未解决的对这些检测器的关键限制是对处理带宽的限制。我们研究了常用的窄带处理对这些检测器的影响。随着处理带宽的减小,我们表征了居屋和SOS检测器之间的折衷,并证明居屋检测器的性能下降速度比居屋检测器更快。然后,我们考虑由一组决策被融合在一起的本地窄带检测器组成的分布式宽带检测。给定固定带宽的输入信号,我们表明,随着本地检测器数量的增加(与每个本地检测器带宽的减少相对应),这种使用HOS本地检测器的方案的性能下降速度比使用SOS本地检测器的方案下降得更快。 。

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