ETTC'2003 - SEE

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free space in output buffer(s). Sizes of input buffers depend on operation performed by other modules and cannot be foreseen. Taking into account amount of data that can be read and free available space, the module is able to operate some computations. In general, it does not consume all input data nor use all available output space. If any data located in input buffer is not consumed, it will be processed in a prior way at next module call. This operating mode ensure the data continuity between modules: There is no loss of data. Data and free space management in a JUZZLE module is as follows input buffer 'A' Free space Data APPLICATIONS Module Figure 5 : Module buffers Coding / Decoding output buffer 'A' output buffer 'B' The specificity of coding or decoding modules is rate change. The size of the buffer has to be chosen equal to the minimum in bits of the data available at input and the free space available at output, taking into account bit rate ratio. For convolutional codes, delays appear at transmitter (code memory) and at receiver (Viterbi path length). These delays are undertaken by a shorter first amount of produced data in the output buffer. Modulation / Demodulation As the previous modules, the modulation and demodulation modules introduce rate changes. Filtering Filtering modules introduce not only but also processing constraints especially when developed for accelerating computations. One of available techniques is to use fast convolution ‘Overlap And Add’ method. Principle of this method is to perform convolution by signal blocks constituted of 2 n samples. Let us consider, for instance, that filtering module needs to operate blocks of 1024 samples. Noting ‘Nin’ the number of samples available in input buffer and ‘Nout’ the number of samples available in output buffer. As module can only process blocks of 1024 samples, the number of blocks that can be processed is the minimum of Nin/1024 and Nout/1024 . Obviously, some of input samples may not be processed and all free space in output buffer may not be used. Hereafter figure describes an example with numerical data Before filtering After filtering 7153 samples Filter [1024] 9654 free positions MIN [ 7153 / 1024 , 9654 / 1024 ] = 6 module can process 6 blocks of 1024 (=6144) samples 1009 samples Filter [1024] 3510 free positions Figure 6 : Buffering example for filtering module 5
IMPLEMENTATION AND SIMULATION OF A TELEMETRY TRANSMISSION CHAIN USING JUZZLE CHAIN DESCRIPTION In this paper, we propose to illustrate the use of JUZZLE implementing a simple telemetry transmission chain based on a convolutional code (r = 1/2, k = 7) modulated by a QPSK (Quaternary Phase Shift Keying) square root raised cosine filtered (roll-off 0.35) [1]. This way, we show the implementation of most current modules in transmission chains: coders, modulators, filters, white noise addition, bit error rate computation… Hereafter figure describes the transmission chain that has to be simulated Convolutional Coding QPSK Modulation Square Root Raised Cosine Filter Noise Square Root Raised Cosine Filter QPSK Demodulation Viterbi Decoding Figure 7 : Transmission chain CHAIN DESIGN The simulator (as defined in previous section) has been implemented in JUZZLE using a modular approach, each module, written in C, performing a specific unitary function. Omitting the power correction and quantization modules, the list of the modules is listed hereafter: Module ‘Gen_bit’: • Objective: Bit generation • Parameters: Random seed • Input: NA • Output: Bits Module ‘Conv_coder’: • Objective: Convolutional code • Parameters: NA • Input: Bits • Output: Samples Module ‘Modulator_QPSK’: • Objective: QPSK modulation • Parameters: Oversampling • Input: Bits • Output: Samples Module ‘Nyquist_filter1’: • Objective: Nyquist filtering • Parameters: Number of symbols for Nyquist filter, Oversampling, Roll-off • Input: Bits • Output: Samples Module ‘Noise_addition’: • Objective: Noise addition • Parameters: Eb/N0 • Input: Samples 6
Page 1 and 2: SÉANCE D'OUVERTURE / OPENING SESSI
Page 3 and 4: A l’aube de ce siècle, Airbus s
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Page 15 and 16: eference books, but it is as fundam
Page 17 and 18: BACK MANAGEMENT DES ESSAIS SYSTEME
Page 19 and 20: BACK ESSAIS D’ENSEMBLE LANCEURS C
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Page 51 and 52: POSTE INE A380 Les besoins fonction
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AVIONS appartenant au réseau 25_P_
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• Les données à émettre sur le
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• 25_P_2/04 PCM émis par l'avion
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3.2 Le temps différé • En temps
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4. CONCLUSION • Toutes les IHM in
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INTRODUCTION Pour définir des proc
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- Ecarts de position en temps réel
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ANNEXE 1 CONSTITUTION CONSTITUTION
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They however incorporate some eleme
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As technology evolves, the boundary
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shown below together with the AGE c
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BACK ESSAIS SYSTEME SUR LES PROJETS
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3 qui contient le logiciel de vol.
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5 • essais en station « in vivo
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Avis, options et recommandations (5
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BACK Automatic Validation of Flight
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− The second level provides all d
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The operational flexibility of SINU
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• Test duration is reduced : for
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mimics from CCS ones. The objective
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1. Introduction ...................
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2. Présentation Le segment sol Ste
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AUS Station STA TM/TC Station STS T
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• La Commission de Revue d’Essa
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Certains essais particuliers liés
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Id Nom flux EXP37 Plan de vol Annex
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TTC’2003 Stentor 10/06/2003 QUALI
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TTC’2003 Le Programme Stentor 10/
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TTC’2003 Satellite GEO TM/TC/Rang
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TTC’2003 •Equipes CNES : Qualif
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TTC’2003 •L’organisation mise
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TTC’2003 Interfaces Externes :
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TTC’2003 Les Contraintes de Déve
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TTC’2003 Contient ontient la la m
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TTC’2003 10/06/2003 Qualification
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TTC’2003 10/06/2003 Qualification
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BACK Résumé : Outil de traitement
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1 Principes généraux de l’outil
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1.2.3 Valise de piste L’outil peu
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2 Capacités fonctionnelles 2.1 Arc
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Vue f(t) 2.3.1 Vues y=f(t) Ces vues
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Maquette aéronef Alarmes Bar-graph
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2.3.3 Représentation trajectograph
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2.3.5 Vidéo Par ailleurs, si le ma
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3 Concept de structure d’accueil
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4 Exemples d’utilisation 4.1.1 HB
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SESSION 3 : Capteurs et dispositifs
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BACK THE NEXT GENERATION AIRBORNE D
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3. DC SPECIFICATIONS - SEEING THE W
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For the purposes of this paper it i
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hardware down and led to widely acc
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mechanism. In a system where a late
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0 X Y X' Y' 0 X Y Sampling Cycle X
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- Perform the exchange in a rigorou
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GLOSSARY AFDX Avionics Full DupleX
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The complete message is recorded by
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The L3 switches allow forwarding da
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Furthermore, the configuration of t
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BACK LOGICIEL JAVA D’ACQUISITION
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ISA ISA Interface utilisateur Objet
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CONCLUSION La première version de
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; ( ( + & 2+5. . & & , & . + & +2(
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( +, & + < 0 9& - & = (( + 1 - + +,
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BACK Telemetry Recording Workstatio
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Figure 1: Real-time pen tip display
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establishing different socket conne
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73 64 63 61 60 48 45 40 35 Level (d
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SESSION 5 : TELEMESURE (SPECTRE - M
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Currently various avenues are explo
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Binary X Binary to RNS and RNS to B
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The index multiplier block will be
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The current implementation consists
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Spécificité de la télémesure AI
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Technique COFDM : La modulation COF
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La réception s’effectue par une
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BACK ETCC'2003 European Test and Te
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ETCC'2003 European Test and Telemet
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SESSION 6 : SYSTEMES DE TELEMESURE
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f f p IF = R b = 4R b ∆f = 0. 7R
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2.3 ADC Fig.5 (a) y (t) and its spe
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2.5 FM demodulation Fig.9 I ‘(nT1
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References 1. Gardner FM. A BPSK/QP
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L/S/C /X/Ku /Ka band Spacelink Syst
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Spacelink System - The solution for
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SPOT Σ ∆ X band feed Data LNA Tr
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défilant. Le cahier des charges d
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TOURELLE HEXAPODE La tourelle hexap
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Ci après, tableau des spécificati
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BACK CRISTAUX PHOTONIQUES ET METAMA
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BACK Systems, Design & Tests Direct
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1. INTRODUCTION Cette communication
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Figure 2-1 Vue générale de la Bas
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3. ETALONNAGE DE LA BASE 3.1 PRINCI
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Par définition, le taux de polaris
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This document is the property of EA
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amplitude (dB) 10 0 -10 -20 -30 -40
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amplitude (dB) 10 0 -10 -20 -30 -40
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V1=K1.GVV.E.{[cos()-.sin()] + 1_vra
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Quelques calculs d’incertitude so
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- 21 - Amplitude polarisation verti
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- 23 - Amplitude composante vertica
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- 25 - Amplitude composante vertica
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3.4 SYNTHESE DES RESULTATS CONCERNA
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4.2 DEFINITION DE L'ANTENNE DE MISE
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4.4 DEFINITION DE L'ANTENNE DE REFE
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5.1.2 Diagrammes de rayonnement 5.1
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5.2 ANTENNE DE REFERENCE BANDE P 5.
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Gain (dBi) 5.2.2.2 Résultats Ils s
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Comme attendu, la coupe xOz présen
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Gain (dBi) 5.3.2 diagramme de rayon
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Gain (dBi) 15 10 5 0 -5 -10 -15 -20
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BACK INTRODUCTION MESURE DE CHAMP P
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MESURE DE CHAMP PAR SYSTEME PORTABL
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MESURE DE CHAMP PAR SYSTEME PORTABL
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Abstract Helicopters are relatively
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Au sol, la station réceptionne le
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BACK Résumé Architecture d’une
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Architecture type lanceur lourd ARI
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Architecture petit lanceur L’arch
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Diagramme de l’UCTM Voies analogi
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Exemples de capteurs utilisés Type
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SESSION 8 : COMPATIBILITE ELECTROMA
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1. CONTEXTE GENERAL Le durcissement
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Figure 1 : Actions de qualification
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5. LES PARAMETRES D’OPTIMISATION
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7. PERFORMANCE ET OPTIMISATION DU P
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La qualification du durcissement re
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UNIT Unit EMC documents : - groundi
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At equipment level EMC TEST PROGRAM
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BACK ETTC 2003. Le rôle de la simu
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comprenant des objets complexes, n
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Cette approche permet, avec les mê
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Les Thèses ONERA UPS Prise en comp
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Pression Ligne bifilaire non blind
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1.8 1,8 Tension continue V 1.6 1.4
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270 Ω I0 IL 2,7 kΩ (b) Alimenta
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What is the budget of the statistic
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Monte Carlo approach: This is a thr
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2 Etat de l’art des standards de
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2.1.6 Emissions standards 61967 par
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- Limites pour l’immunité DPI (e
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PRESENTATIONS POSTER / POSTER PRESE
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BACK LA TELEMESURE SUR AIRBUS JC GH
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Dans le cycle d ’essais en vol ,
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CONCLUSION - NOS BESOINS FUTURS AIR
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LOGICIELS DE MESURE ET DE TRAITEMEN
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In order to optimize the phase nois
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Photo-oscillator active device Opti
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the inverse of N×N correlation mat
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quasi-synchronous multiuser detecto
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Multiuser Interference Canceler ”
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the inverse of N×N correlation mat
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quasi-synchronous multiuser detecto
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Multiuser Interference Canceler ”
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All these sub-systems can be easily
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3.5 ACPR RACK Gateway and satellite
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4.2 COMPONENT DEGRADATION MEASUREME
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Indeed, when the objective of the t
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All the five points can be achieved
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M r Mmax (0 dB, -180°) b = 0 a ωc
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2 - Test devices at ENSICA Souffler
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Soufflerie à Densité Variable (SD
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Capacité : - pour la charge axiale
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Machine d’essai de fatigue en fle
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torsion. - asservissement de chaque
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KEY 1 WORD IENA PACKET format An IE
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TD: “0” means that the paramete
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PARAMETER DESCRIPTION This array de
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BACK UTILISATION de CAMERAS NUMERIQ
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TABLE DES MATIÈRES 1. INTRODUCTION
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2. CONTEXTE DES ESSAIS Le but des e
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3. LES BESOINS ET LES CONTRAINTES 3
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4. CHOIX DE LA CAMERA 4.1 Démarche
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5.1.4 Adaptations Les deux principa
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Tir d'un missile AIR/AIR éjecté T
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6. CONCLUSION Cette évaluation mon
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Capteur Intelligent IEEE 1451.4 Pri
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pC/g Piezo Accelerometer mV/g Piezo
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BACK F. Mailly et Al. ETTC 2003 MIC
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4.2. Sensitivity according to the h
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BACK STUDY OF 3∆t PASSIVE LOCATIN
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∆t 1 ∆t ∆t 2 = t = t M N −1
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For the speed of the reentry vehicl
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BACK TITLE In orbit satellite Gain
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dBm dBm Results obtain with the con
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3. NEW METHOD DEVELOPPED FOR IOT SA
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The following figures present the g
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3.2 Analysis of the contribution Th
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ETSC Annual Activities Gerhard Maye
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BACK Abstract European Telemetry St
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The file structure is also adopted
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BACK The statistical Evaluation Of
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BACK Abstract Vendor Independent Da
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