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Distributed detection of weak dependent narrowband signals
IEEE International Conference on Acoustics Speech and Signal Processing, 1993Distributed signal detection schemes have received significant attention but most research has focused on cases with independent observations at the different sensors. Cases with dependent narrowband signals, which are of practical interest in communication, radar, and sonar problems, are studied here.
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Data-Adaptive Detection of a Weak Signal
IEEE Transactions on Aerospace and Electronic Systems, 1983Motivated by a form of the likelihood-ratio-tesf statistic for detection of a rank-one Gaussian signal in colored Gaussian noise, we apply our earlier technique for estimation of a low-rank signal to the problem of estimating and subtracting the waveform of a strong sinusoidal interference prior to detection of a weak sinusoidal signal. We consider the
Tufts, Donald W. +2 more
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Weak signal detection: Condition for noise induced enhancement
Digital Signal Processing, 2013For the detection of a weak known signal in additive white noise, a generalized correlation detector is considered. In the case of a large number of measurements, an asymptotic efficacy is analytically computed as a general measure of detection performance.
Fabing Duan +2 more
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Detection of weak signals with polarity coincidence arrays
IEEE Transactions on Information Theory, 1966Polarity Coincidence Array detectors (PCA) are considered for testing the hypothesis that a random signal is common to an array of receivers which contain noise processes that are independent representations of a given class of stochastic processes. A standard procedure is to reduce the received data by sampling and then hard limiting. Hard limiting is
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A difference resonator for detecting weak signals
Measurement, 1999Abstract In order to catch the symptoms of machine failures as early and accurately as possible, this paper recommends and first applies a linear difference resonator in the form of x k+1 =ax k +by k , y k+1 =cx k +dy k to detect the characteristic frequency component contained in weak signals.
Liangsheng Qu, Jing Lin
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The Detection of Weak Signals by Correlation Methods
Journal of Applied Physics, 1953A procedure involving autocorrelation is described which, for long averaging time and incoming signals with continuous spectrum, has a detection threshold equal to that of a corresponding conventional system consisting of band pass filter, rectifier, and low pass filter. The autocorrelation procedure is quite complex; a full autocorrelation function is
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Detection of weak signals by generalized detector
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2003This paper is devoted to an experimental study of the generalized detector and comparison with the optimal detector of classical signal detection theory for solving problems of the detection of buried or camouflaged objects. Experimental investigations were carried out under the power signal-to-noise ratio 0.96 dB at the detector input. New features of
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Deep Manifold Learning for Weak Signal Detection
IEEE Transactions on Instrumentation and Measurement, 2023Xiaomeng Li 0001 +4 more
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Weak Signal Detection based on Beta Divergence
2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2023Jiahao Liu +5 more
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