Power-law processors for detecting unknown signals in colored noise

Kirsteins, Ivars; Mehta, Sangeeta; Fay, J.

doi:10.1109/icassp.1997.599680

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Colored noise can be transformed into white noise after a prematching filter, then the data can be processed. Kirsteins presented adaptive CFAR power-law detector according to this idea [7] . Due to contiguousness in temporal domain and frequency domain Willett proposed another two statistics [8] :…”

Section: Power Law Transient Signal Detectormentioning

confidence: 99%

Research on power-law acoustic transient signal detection based on wavelet transform

2007

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Aiming at the characteristics of acoustic transient signal emitted from antisubmarine weapon which is being dropped into water (torpedo, aerial sonobuoy and rocket assisted depth charge etc.), such as short duration, low SNR, abruptness and instability, based on traditional power-law detector, a new method to detect acoustic transient signal is proposed. Firstly wavelet transform is used to de-noise signal, removes random spectrum components and improves SNR. Then PowerLaw detector is adopted to detect transient signal. The simulation results show the method can effectively extract envelop characteristic of transient signal on the condition of low SNR. The performance of WT-Power-Law markedly outgoes that of traditional Power-Law detection method.

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Section: Power Law Transient Signal Detectormentioning

confidence: 99%

Research on power-law acoustic transient signal detection based on wavelet transform

2007

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“…For instance, an efficient wavelet-based detector using a high order statistics(HOS)-based criterion 7 has been investigated in stationary white gaussian noise conditions. The detection of transient signals in unknown but stationary colored noise is addressed in a general way in the wavelet domain, as well as in the time-frequency domain [8][9][10][11][12] . This detector is based on Nuttall's power-law detector 13 and shows very nice properties concerning the detection of short-duration transient signals having an unknown structure.…”

Section: Introduction and Contextmentioning

confidence: 99%

Online detection method for transient waves applied to continuous health monitoring of carbon-fiber-reinforced polymer composites with embedded optical fibers

et al. 2003

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It has been proven that the embedment of optical fibers into a composite material could offer an alternative to robust piezoelectric transducers used for Acoustic Emission (AE) monitoring. In this configuration optical fibers are used as intensity-modulated sensors. A set of propagating elastic waves is generated whenever damage occurs in the composite material. These waves locally modify the optical and geometrical properties of the optical fiber and hence can be detected by them as a transient signal that modulates the light intensity. In this paper a method for detecting the transients by on-line signal processing is presented. It is then applied to optical signals resulting from tensile tests performed on CFRP composites material with embedded optical fibers. By means of the Short-Time Fourier Transform (STFT), the level of the noise added to the signal is estimated by filtering the time trajectories. This filter is continuously adapted according to the principle of minimization of the mean squared error. Finally the detection is achieved by a constant false alarm rate powerlaw detector. This technique is fast and doesn't take into account neither the statistical distribution of the noise nor the frequency content of the transients as long as the frequency component distribution can be approximated by an exponential law. The detected transient features can be correlated with the AE results but an off-line analysis and classification is still needed.

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Transient signal detection using higher order moments

Colonnese

Scarano

1999

IEEE Trans. Signal Process.

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The asymptotic performance of transient detection based on higher order moments is theoretically derived, invoking the asymptotic normality of the decision statistics, and a detector based on the third-order absolute moment is proposed. The analysis shows that for transient duration less than half the observation window, the proposed detector outperforms the detectors based on the second- and fourth-order moments for a wide range of SNR values. Computer simulations assess the applicability of the theoretical analysis. © 1999 IEEE

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Power-law processors for detecting unknown signals in colored noise

Cited by 4 publications

References 3 publications

Research on power-law acoustic transient signal detection based on wavelet transform

Research on power-law acoustic transient signal detection based on wavelet transform

Online detection method for transient waves applied to continuous health monitoring of carbon-fiber-reinforced polymer composites with embedded optical fibers

Transient signal detection using higher order moments

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