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On detection using filter banks and higher order statistics

机译：使用过滤器库和高阶统计进行检测时

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摘要

We suggest a method, based on the use of filter bank and higher order statistics (cumulants), for detection of transient signals. The method first uses a bandpass filter bank, which separates the spectrum of the observed signal into narrow frequency bands. Each subfilter of the filter bank is then followed by a cumulant estimator, and thereby suppressing colored noise. By selecting those subfilters that have large output energies, the filter bank can approximate the behavior of a matched filter. Moreover, no a priori information about the waveform of the signal is needed. The performance of the detector is evaluated by using a simulated signal as well as a measured signal. The presented detector is compared with the optimal matched filter detector.
机译：我们建议使用滤波器组和高阶统计量（累积量）的方法来检测瞬态信号。该方法首先使用一个带通滤波器组，它将观察到的信号的频谱分成窄频带。然后，滤波器组的每个子滤波器后面都有一个累积量估计器，从而抑制了有色噪声。通过选择具有大输出能量的子滤波器，滤波器组可以近似匹配滤波器的性能。而且，不需要关于信号波形的先验信息。通过使用模拟信号和测量信号来评估检测器的性能。将提出的检测器与最佳匹配滤波器检测器进行比较。

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