Blind Identification of Minimum Phase Channels Based On Higher Order Cumulants

This paper describes a blind algorithm, which is compared to the Zhang's and Safi's algorithms, for estimating of the minimum phase channel parameters. In order to identify blindly the impulse response of these channels, we have used Higher Order Statistics (HOS) to build our algorithm. The simulation results in noisy environment, demonstrate that the proposed method could estimate the phase and magnitude with high accuracy of these channels blindly and without any information about the input, except that the input excitation is identically and independent distribute (i.i.d) and non-Gaussian

Blind Identification of Minimum Phase Channels Based On Higher Order Cumulants

This paper describes a blind algorithm, which is compared to the Zhang's and Safi's algorithms, for estimating of the minimum phase channel parameters. In order to identify blindly the impulse response of these channels, we have used Higher Order Statistics (HOS) to build our algorithm. The simulation results in noisy environment, demonstrate that the proposed method could estimate the phase and magnitude with high accuracy of these channels blindly and without any information about the input, except that the input excitation is identically and independent distribute (i.i.d) and non-Gaussian

Blind Identification of Minimum Phase Channels Based On Higher Order Cumulants

This paper describes a blind algorithm, which is compared to the Zhang's and Safi's algorithms, for estimating of the minimum phase channel parameters. In order to identify blindly the impulse response of these channels, we have used Higher Order Statistics (HOS) to build our algorithm. The simulation results in noisy environment, demonstrate that the proposed method could estimate the phase and magnitude with high accuracy of these channels blindly and without any information about the input, except that the input excitation is identically and independent distribute (i.i.d) and non-Gaussian

Blind Identification Channel Using Higher Order Cumulants with Application to Equalization for MC-CDMA System

In this paper we propose an algorithm based on fourth order cumulants, for blind impulse response identification of frequency radio channels and downlink MC-CDMA system Equalization. In order to test its efficiency, we have compared with the Zhang et al algorithm, for that we considered on theoretical channel as the Proakis's 'B' channel and practical frequency selective fading channel, called Broadband Radio Access Network (BRAN C), normalized for MC-CDMA systems, excited by non-Gaussian sequences. In the part of MC-CDMA, we use the Minimum Mean Square Error (MMSE) equalizer after the channel identification to correct the channel's distortion. The simulation results, in noisy environment and for different signal to noise ratio (SNR), are presented to illustrate the performance of the proposed algorithm compared with the results obtained with the Zhang et al algorithm

Performance Comparison of Several Algorithms for Localization of Wideband Sources, Journal of Telecommunications and Information Technology, 2023, nr 3

In recent years, researchers have tried to estimate the direction-of-arrival (DOA) of wideband sources and several novel techniques have been proposed. In this paper, we compare six algorithms for calculating the DOA of broadband signals, namely coherent subspace signal method (CSSM), two-sided correlation transformation (TCT), incoherent multiple signal classification (IMUSIC), test of orthogonality of frequency subspaces (TOFS), test of orthogonality of projected subspaces (TOPS), and squared TOPS (S-TOPS). The comparison is made through computer simulations for different parameters, such as signal-to-noise ratio (SNR), in order to establish the efficiency and performance of the discussed methods in noisy environments. CSSM and TCT require initial values, but the remaining approaches do not need any preprocessing

A Novel Kernel Algorithm for Finite Impulse Response Channel Identification, Journal of Telecommunications and Information Technology, 2023, nr 2

Over the last few years, kernel adaptive filters have gained in importance as the kernel trick started to be used in classic linear adaptive filters in order to address various regression and time-series prediction issues in nonlinear environments.In this paper, we study a recursive method for identifying finite impulse response (FIR) nonlinear systems based on binary-value observation systems. We also apply the kernel trick to the recursive projection (RP) algorithm, yielding a novel recursive algorithm based on a positive definite kernel. For purposes, our approach is compared with the recursive projection (RP) algorithm in the process of identifying the parameters of two channels, with the first of them being a frequency-selective fading channel, called a broadband radio access network (BRAN B) channel, and the other being a a theoretical frequency-selective channel, known as the Macchi channel. Monte Carlo simulation results are presented to show the performance of the proposed algorith

Adaptive Algorithms Versus Higher Order Cumulants for Identification and Equalization of MC-CDMA, Journal of Telecommunications and Information Technology, 2014, nr 3

In this paper, a comparative study between a blind algorithm, based on higher order cumulants, and adaptive algorithms, i.e. Recursive Least Squares (RLS) and Least Mean Squares (LMS) for MultiCarrier Code Division Multiple Access (MC-CDMA) systems equalization is presented. Two practical frequency-selective fading channels, called Broadband Radio Access Network (BRAN A, BRAN B) normalized for MC-CDMA systems are considered. In the part of MC-CDMA equalization, the Zero Forcing (ZF) and the Minimum Mean Square Error (MMSE) equalizer techniques were used. The simulation results in noisy environment and for different signal to noise ratio (SNR) demonstrate that the blind algorithm gives approximately the same results obtained by adaptive algorithms. However, the proposed algorithm presents the advantage to estimate the impulse response of these channels blindly except that the input excitation is non-Gaussian, with the low calculation cost, compared with the adaptive algorithms exploiting the information of input and output for the impulse response channel estimation

Use of Olive Mill Wastewaters as Bio-Insecticides for the Control of <em>Potosia Opaca</em> in Date Palm (<em>Phoenix dactylifera L.</em>)

The date palm is one of the most economically important perennial plants of the North Africa and in Morocco, where it is extensively cultivated for food and many other commercial purposes. Palm trees are threatened by many pests such as Potosia opaca newly identified in Morocco, especially in Marrakesh and Errachidia regions. In addition, olive mill wastewaters (OMW) are an environmental problem in olive oil producing countries such as Morocco. Generally, these effluents are drained into ecosystems without any pre-treatment. To reduce their negative impact and to get benefits in particular from their high phenolic content, OMW were used as bio-insecticides in crude form. The results showed that crude OMW were effective to control this pest causing a weight loss similar to Cordus insecticide (17% vs. 15%) and mortality almost similar to Kemaban insecticide. OMW’s biocide potential was related principally to their high phenolic content. Based on HPLC analysis, ten phenolic molecules were identified, including two which were revealed as the major monomeric phenolic compounds in OMW, 0.248 g/L of hydroxytyrosol and 0.201 g/L of tyrosol. In this chapter, the potential use of OMW as bio-insecticides for the control of P. opaca in date palm is discussed

Vers un processeur optoélectronique holographique de cryptage des données à haut débit pour les télécommunications

Avec le développement des réseaux multimédia et les échanges d'informations grandissants, la collectivité scientifique s'intéresse de plus en plus aux techniques de cryptage et de compression afin de sécuriser les échanges et de gagner en espace mémoire pour le stockage. Plusieurs algorithmes de cryptage et de compression numériques ont été proposés. Or le codage numérique d'informations exige des temps de calcul importants et des traitements électroniques coûteux. Ceci nous a poussé à considérer l'optique comme une solution, plus particulièrement dans le cas où l'information est sous forme d'images. Ce choix est justifié par la facilité avec laquelle l'optique permet d'obtenir naturellement une transformation de Fourier à deux dimensions grâce à son parallélisme massif. Ce travail de thèse s'articule autour de deux thématiques voisines, la compression et le multiplexage de l'information d'une part, la compression et le cryptage d'autre part. Ces deux problèmes sont abordés sous un même angle, le filtrage. L'information est traitée dans le domaine de Fourier. L'apparition du filtre segmenté pour la corrélation optique, incorporant non pas une mais plusieurs références en même temps nous donne la possibilité de sélectionner dans ce domaine les informations pertinentes propres ou communes à chaque référence. Cette fusion d'information spectrale permet d'extraire les informations utiles dans un spectre et à rejeter les éléments redondants ou non pertinents, réalisant en cela la compression d'image. De la même manière nous utilisons cette propriété pour coder et crypter les images.With the development of multi-media networks and the growing exchanges of information, the scientific community is interested more and more in techniques of encryption and compression in order to make these exchanges safe and to gain memory storage capacity. Several numerical algorithms of encryption and compression were proposed. However the numerical coding of information requires significant computing times and the processing can be very expensive. This led to the consideration of optics as a solution, particularly for images. This choice is justified by the facility which optics carries out two dimensional Fourier transforms with high parallelism. This PhD thesis is built around two neighbouring themes: compression and multiplexing of information on the one hand, compression and encryption on the other hand. These two problems are tackled with the same approach which is filtering. The data are processed in the Fourier domain. As optical correlation, the segmented filter is a way to fuse information in the Fourier domain between several references. It allows extracting specific or relevant information to each or several references and rejecting the redundant information; thus, a compression operation is done. In the same manner, we have used a similar approach for encrypting operations in images.STRASBOURG-Sc. et Techniques (674822102) / SudocSudocFranceF

Using A Fuzzy Number Error Correction Approach to Improve Algorithms in Blind Identification

As part of a detailed study on blind identification of Gaussian channels, the main  purpose was  to propose an algorithm based on cumulants and  fuzzy number approach  involved throughout the whole process of identification. Our objective was to compare the new design of the algorithm to the old one using the  higher order cumulants, namely  Alg1, Algat  and the Giannakis  algorithm. We were  able to demonstrate that the proposed method -fuzzy number error correction- increases the performance of the algorithm by calculating the ratio of squared errors of ALGaT and  AlgatF. The method can be applied to any algorithm for more improvement and effinciency