Results 221 to 230 of about 195,242 (267)

UMPI test for adaptive signal detection

SPIE Proceedings, 1997
The problem of detection of a signal in noise analyzed in the literature assumes a complete statistical knowledge of the received signal. However, in radar, sonar and other detection problems, the signal is embedded in a noise whose characteristics are not completely known and are changing with time.
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Parametric GLRT for Multichannel Adaptive Signal Detection

IEEE Workshop Sensor Array and Multichannel Signal Processing, 2006., 2006
We consider herein the problem of detecting a multichannel signal in the presence of spatially and temporally colored disturbance. A parametric generalized likelihood ratio test (GLRT) is developed by modeling the disturbance as a multichannel autoregressive (AR) process. The parametric GLRT differs from Kelly's widely known GLRT which does not utilize
null Kwang June Sohn, null Hongbin Li, B. Himed   +2 more
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Adaptive detection of statistical signals in noise

IEEE Transactions on Information Theory, 1966
This paper deals with the forms and properties of a detector operating in an environment in which little statistical information about either the signal or noise field is or can be available. An adaptive detector based on the theory of nonparametric statistics has been designed for this purpose.
H. Groginsky, L. Wilson, D. Middleton
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Adaptive signal detection with distributed sensors

SPIE Proceedings, 1998
The problem of distributed detection of a signal in incompletely specified noise is considered. It is assumed that the noise can be modeled as a zero-mean Gaussian random process with unknown slowly varying covariance matrix. A network of m sensors receiving independent and identically distributed observations in R p , regarding certain binary ...
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Spatial adaptive filtering for LPI signal detection

Proceedings of TCC'94 - Tactical Communications Conference, 1994
Summary form only given, as follows. This paper presents two algorithms for jointly detecting and direction finding (DF) low probability of intercept (LPI) signals based upon spatial adaptive filtering concepts: adaptive event processing (AEP) for narrowband short duration (SD) signals and spatial spectral whitening (SSW) for wideband direct sequence ...
K.W. Forsythe, P. Monticciolo, J.R. Sklar   +2 more
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Adaptive multichannel detection of frequency-hopping signals

IEEE Transactions on Communications, 1992
An adaptive multichannel radiometer designed to detect frequency-hopping (FH) signals in complex signal environments is presented. Each channel updates its hop threshold to reflect the current environment and excise any persistent hop activity inconsistent with an FH signal from subsequent processing.
Nemsick, Larry W., Geraniotis, Evaggelos
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Adaptive Detection of Signals in Impulsive Noise Environments

IEEE Transactions on Communications, 1974
A detector structure and an adaptive algorithm are proposed for the reception of signals in noise backgrounds possessing broad-tailed probability distributions typical of impulsive noise. The adaptive detector combines the best features of linear matched filtering and hard-limiting receiver structures resulting in a small-signal SNR performance which ...
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Adaptive pitch detection algorithm for noisy signals

International Conference on Acoustics, Speech, and Signal Processing, 2003
An algorithm is presented to determine the pitch of a signal in a very noisy environment adaptively and reliably. This algorithm is adaptive to input signal from frame to frame on both the correlative criterion and the energy criterion. The correlative criterion assumes that the input signal has a slowly time-varying property on adjacent frames.
C.S. Wu, V. Nguyen, V. Goncharoff, W. Kushner, J. Damoulakis   +4 more
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A parametric technique for adaptive signal detection

The 22nd IEEE Conference on Decision and Control, 1983
A parametric technique is presented for detection of Gaussian signals with unknown statistics in white Gaussian noise. The proposed method models the signal as an autoregressive process, and computes a test statistic (likelihood ratio) based on the limiting properties of the likelihood ratios used in the case of known statistics.
Boaz Porat, Benjamin Friedlander
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Data-Adaptive Detection of a Weak Signal

IEEE Transactions on Aerospace and Electronic Systems, 1983
Motivated 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., Kirsteins, Ivars, Kumaresan, Ramdas   +2 more
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