Measurement of the impulsive noise environment for satellite-mobile radio systems at 1.5 GHz

Button, M.D.; Gardiner, J.G.; Glover, Ian

doi:10.1109/tvt.2002.1002503

Cited by 54 publications

(20 citation statements)

References 7 publications

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“…The MUSIC algorithm [2] , one of the most well-known subspace methodology, has attracted much attention and is an asymptotically unbiased DOA estimator based on the Gaussian noise assumption [3,4] . However, in some scenarios, noises exhibit an impulsive nature caused mainly by sudden bursts or sharp spikes [5][6][7] , and it is inappropriate to model the noise as Gaussian distributed.…”

Section: Introductionmentioning

confidence: 99%

A Robust DOA Estimation Based on Sigmoid Transform in Alpha Stable Noise Environment

2018

MATEC Web Conf.

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To suppress alpha-stable noise and co-channel interference, this paper defines a novel cyclic correlation function, and proposes a new MUSIC algorithm based on sigmoid cyclic correlation function. Furthermore, the proposed algorithm (SCC-MUSIC) is applied to estimate direction of arrival (DOA) in alpha stable distribution noise. Simulation results demonstrate that the proposed SCC-MUSIC can get a better performance than several existing algorithms especially in the highly impulsive noise environments.

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Section: Introductionmentioning

confidence: 99%

A Robust DOA Estimation Based on Sigmoid Transform in Alpha Stable Noise Environment

2018

MATEC Web Conf.

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“…One common assumption made by conventional methods and cyclostationarity methods is that the ambient noise is assumed to be Gaussian distributed and can be characterized by only second-order statistics (SOS). However, in many real world applications the noise often exhibits non-Gaussian properties and sometimes is accompanied by strong impulsiveness [8]. For example, natural sources such as atmospheric noise resulting from thunder storms, car ignitions, microwave ovens, and other types of man-made signal sources generally result in aggregating noises that may produce high amplitudes during small time intervals.…”

Section: Introductionmentioning

confidence: 99%

Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment

Chen

2017

International Journal of Antennas and Propagation

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This paper addresses the issue of direction finding of a cyclostationary signal under impulsive noise environments modeled byα-stable distribution. Sinceα-stable distribution does not have finite second-order statistics, the conventional cyclic correlation-based signal-selective direction finding algorithms do not work effectively. To resolve this problem, we define two robust cyclic correlation functions which are derived from robust statistics property of the correntropy and the nonlinear transformation, respectively. The MUSIC algorithm with the robust cyclic correlation matrix of the received signals of arrays is then used to estimate the direction of cyclostationary signal in the presence of impulsive noise. The computer simulation results demonstrate that the two proposed robust cyclic correlation-based algorithms outperform the conventional cyclic correlation and the fractional lower order cyclic correlation based methods.

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“…Measurements of the levels of impulsive noise relevant to satellite-mobile radio systems have been reported for rural, suburban, urban environments and roads carrying high density, fast moving traffic [6]. Methods for counteracting multi-path fading and impulsive noise effects are in great demand and channel equalization techniques have been used for that purpose [7].…”

Section: Introductionmentioning

confidence: 99%

Communication Equalizer Algorithms with Decision Feedback based on Error Probability

Kim

Hwang²

2011

Journal of the Korea Academia-Industrial cooperation Society

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For intersymbol interference (ISI) compensation from communication channels with multi-path fading and impulsive noise, a decision feedback equalizer algorithm that minimizes Euclidean distance of error probability is proposed. The Euclidean distance of error probability is defined as the quadratic distance between the probability error signal and Dirac-delta function. By minimizing the distance with respect to equalizer weight based on decision feedback structures, the proposed decision feedback algorithm has shown to have significant effect of residual ISI cancellation on severe multipath channels as well as robustness against impulsive noise.

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Measurement of the impulsive noise environment for satellite-mobile radio systems at 1.5 GHz

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Cited by 54 publications

References 7 publications

A Robust DOA Estimation Based on Sigmoid Transform in Alpha Stable Noise Environment

A Robust DOA Estimation Based on Sigmoid Transform in Alpha Stable Noise Environment

Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment

Communication Equalizer Algorithms with Decision Feedback based on Error Probability

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