Localization of GSM signals based on fourth order moment wavelet denoising

Aktas, Unal; Hippenstiel, Ralph D.

doi:10.1109/acssc.1999.832371

Cited by 8 publications

(4 citation statements)

References 1 publication

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“…From (3), the mean and the FMW standard deviation are obtained with the following consideration = (4) ; then, the mean of is obtained from the normal distribution [18,19]:…”

Section: Fourth Moment Waveletmentioning

confidence: 99%

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Steganography Algorithm Based on the Nonlocal Maximum Likelihood Noise Estimation for Mobile Applications

Carvajal-Gámez

Díaz-Casco

2018

Security and Communication Networks

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In recent years, thanks to the use of Internet services, daily activities used to imply movement became more accessible to any user. As a result of such interconnection, now millions of people from different countries are able to communicate among themselves through the Internet, generating a great flow of data and classified information. The information on the Internet can be stolen, intercepted, anonymized, or even destroyed, resulting in cases of infringement of intellectual property rights, and the loss or damage of data. In such a globalized and interconnected world, solid security measures have become increasingly important to ensure data privacy protection and its confidentiality during transit. Nowadays, there is a variety of security mechanisms such as the steganography, an information hiding technique, which protects intellectual property by allowing the transmission of hidden data without drawing any suspicion. In order to achieve these criteria, an adaptation of the nonlocal maximum likelihood filter is proposed; in this class of filters, in general, they are used in images that require a high level of irregular pattern detection, based on the statistical dependence of the underlying pixels of the image analysis area, when using it in the wavelet domain as edge detector and/or discontinuities in images in order to have a greater selectivity when inserting information in the image. It strengthens the detection of the areas with the highest probability of having noise presenting results which are suitable areas to insert the information and that it is imperceptible in a quantitative and qualitative manner as presented in the Results and Discussion.

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“…From (3), the mean and the FMW standard deviation are obtained with the following consideration = (4) ; then, the mean of is obtained from the normal distribution [18,19]:…”

Section: Fourth Moment Waveletmentioning

confidence: 99%

“…The FMW of an image can be considered as ≥ 3 4 1 , where n 1 represents the noise in the host image obtained from the first wavelet transform [18,19].…”

Section: Detection Of Threshold Noise Estimatormentioning

confidence: 99%

Steganography Algorithm Based on the Nonlocal Maximum Likelihood Noise Estimation for Mobile Applications

Carvajal-Gámez

Díaz-Casco

2018

Security and Communication Networks

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“…The main interest is the position determination, which is possible after a double integration of the accelerations to obtain linear displacements and a single integration of the angular velocities to obtain the angles of rotation. The use of this integration process implies that a small uncertainty in measurement bias become a position error that grows with time [4]. INS provides self-contained independent means for threedimensional positioning with high short-term accuracy [5,6].…”

Section: Introductionmentioning

confidence: 99%

Solar system GSM/INS positioning system with fuzzy control

Chen¹,

Examiner²

2014

2014 CACS International Automatic Control Conference (CACS 2014)

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A New concept regarding Solar system GSM/INS integration, based on artificial intelligence, i.e. adaptive neuro-fuzzy inference system (ANFIS) is presented. The SOLAR SYSTEM GSM system with fuzzy logic is used as reference during the time it is available. The data from SOLAR SYSTEM GSM and inertial navigation system (SOLAR SYSTEM INS) are used to build a structured knowledge base consisting of behavior of the SOLAR SYSTEM INS in some special scenarios of vehicle motion. With the same data, the proposed fuzzy system is trained to obtain the corrected navigation data. In the absence of the SOLAR SYSTEM GSM information, the system will perform its task only with the data from SOLAR SYSTEM INS and with fuzzy correction algorithm.

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“…Reliable and accurate position information of mobile users is necessary by the adoption of the Federal Communications Commission (FCC) regulations to provide Enhanced-911 (E-911) service, [1]. According to Aktas and Hippenstiel [2], LBSs are information services accessible with mobile devices through the mobile network and utilizing the ability to make use of the information about the location of the mobile and cellular devices. At this aim, several techniques are used to localize non-cooperating cellular phones, as Time Differences of Arrival (TDOA) method, whose estimate is obtained by the cross correlation between signals arriving at two base stations.…”

Section: Introductionmentioning

confidence: 99%

DOA and TOA Based Localization Services Protocol in IEEE 802.11 Networks

Neri

Nepi

Vegni

2009

Wireless Pers Commun

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In this paper we introduce an innovative technique for localization services in IEEE 802.11 networks. We introduce a localization protocol that can make use of either Time Of Arrival or Direction Of Arrival measurements. The proposed architecture integrates the classical Basic Service Set topology with a set of Location Service Support nodes, that measure those parameters related to a pre-selected localization algorithm. A fast and accurate Time Of Arrival estimator, operating directly on the output of the OFDM demodulator, is also presented. The whole procedure has been designed with the intent of weaken the requirements on temporal synchronization among nodes, at the expenses of a small increase in the protocol overhead and a small accuracy loss

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Localization of GSM signals based on fourth order moment wavelet denoising

Cited by 8 publications

References 1 publication

Steganography Algorithm Based on the Nonlocal Maximum Likelihood Noise Estimation for Mobile Applications

Steganography Algorithm Based on the Nonlocal Maximum Likelihood Noise Estimation for Mobile Applications

Solar system GSM/INS positioning system with fuzzy control

DOA and TOA Based Localization Services Protocol in IEEE 802.11 Networks

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