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Properties of Angle Modulation
Properties of Angle Modulation Properties of Angle Modulation Reference: Sections 4.2 and 4.3 of Professor Deepa Kundur S. Haykin and M. Moher, Introduction to Analog & Digital University of Toronto Communications, 2nd ed., John Wiley & Sons, Inc., 2007. ISBN-13 978-0-471-43222-7. Professor Deepa Kundur (University of Toronto) Properties of Angle Modulation 1 / 25 Professor Deepa Kundur (University of Toronto) Properties of Angle Modulation 2 / 25 Angle Modulation carrier I Phase Modulation (PM): θi (t) = 2πfc t + kpm(t) 1 dθ (t) k dm(t) f (t) = i = f + p message i 2π dt c 2π dt sPM (t) = Ac cos[2πfc t + kpm(t)] amplitude modulation I Frequency Modulation (FM): Z t θi (t) = 2πfc t + 2πkf m(τ)dτ 0 phase 1 dθ (t) modulation f (t) = i = f + k m(t) i 2π dt c f Z t sFM (t) = Ac cos 2πfc t + 2πkf m(τ)dτ 0 frequency modulation Professor Deepa Kundur (University of Toronto) Properties of Angle Modulation 3 / 25 Professor Deepa Kundur (University of Toronto) Properties of Angle Modulation 4 / 25 carrier carrier message message amplitude amplitude modulation modulation phase phase modulation modulation frequency frequency modulation modulation Professor Deepa Kundur (University of Toronto) Properties of Angle Modulation 5 / 25 Professor Deepa Kundur (University of Toronto) Properties of Angle Modulation 6 / 25 4.2 Properties of Angle Modulation 4.2 Properties of Angle Modulation Constancy of Transmitted Power Constancy of Transmitted Power: AM 1 I Consider a sinusoid g(t) = Ac cos(2πf0t + φ) where T0 = or T0f0 =1. f0 I The power of g(t) (over a 1 ohm resister) is defined as: Z T0=2 Z T0=2 1 2 1 2 2 P = g (t)dt = Ac cos (2πf0t + φ)dt T0 −T0=2 T0 −T0=2 2 Z T0=2 Ac 1 = [1 + cos(4πf0t + 2φ)] dt T0 −T0=2 2 2 T0=2 Ac sin(4πf0t + 2φ) = t + 2T 4f 0 0 −T0=2 A2 T −T sin(4πf T =2 + 2φ) − sin(−4πf T =2 + 2φ) = c 0 − 0 + 0 0 0 0 2T0 2 2 4πf0 2 2 Ac sin(2π + 2φ) − sin(−2π + 2φ) Ac = T0 + = 2T0 4πf0 2 I Therefore, the power of a sinusoid is NOT dependent on f0, just its envelop Ac . -
Wavelet Modulation: an Alternative Modulation with Low Energy Consumption Marwa Chafii, Jacques Palicot, Rémi Gribonval
Wavelet modulation: An alternative modulation with low energy consumption Marwa Chafii, Jacques Palicot, Rémi Gribonval To cite this version: Marwa Chafii, Jacques Palicot, Rémi Gribonval. Wavelet modulation: An alternative modulation with low energy consumption. Comptes Rendus Physique, Centre Mersenne, 2017, 18 (2), pp.156-167. 10.1016/j.crhy.2016.11.010. hal-01445465 HAL Id: hal-01445465 https://hal.archives-ouvertes.fr/hal-01445465 Submitted on 30 Jan 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. C. R. Physique 18 (2017) 156–167 Contents lists available at ScienceDirect Comptes Rendus Physique www.sciencedirect.com Energy and radiosciences / Énergie et radiosciences Wavelet modulation: An alternative modulation with low energy consumption La modulation en ondelettes : une modulation alternative à faible consommation d’énergie ∗ Marwa Chafii a, , Jacques Palicot a, Rémi Gribonval b a CentraleSupélec, IETR, Campus de Rennes, 35576 Cesson-Sévigné cedex, France b IRISA, Inria – Bretagne Atlantique, 35042 Rennes cedex, France a r t i c l e i n f o a b s t r a c t Keywords: This paper presents wavelet modulation, based on the discrete wavelet transform, as an Wavelet modulation alternative modulation with low energy consumption. -
The Most Common Digital Modulation Techniques Are: Phase-Shift Keying
Common Digital Modulation Techniques and Pulse Modulation Methods The most common digital modulation techniques are: Phase-shift keying (PSK): o Binary PSK (BPSK), using M=2 symbols o Quadrature PSK (QPSK), using M=4 symbols o 8PSK, using M=8 symbols o 16PSK, using M=16 symbols o Differential PSK (DPSK) o Differential QPSK (DQPSK) o Offset QPSK (OQPSK) o π/4–QPSK Frequency-shift keying (FSK): o Audio frequency-shift keying (AFSK) o Multi-frequency shift keying (M-ary FSK or MFSK) o Dual-tone multi-frequency (DTMF) o Continuous-phase frequency-shift keying (CPFSK) Amplitude-shift keying (ASK) On-off keying (OOK), the most common ASK form o M-ary vestigial sideband modulation, for example 8VSB Quadrature amplitude modulation (QAM) - a combination of PSK and ASK: o Polar modulation like QAM a combination of PSK and ASK.[citation needed] Continuous phase modulation (CPM) methods: o Minimum-shift keying (MSK) o Gaussian minimum-shift keying (GMSK) Orthogonal frequency-division multiplexing (OFDM) modulation: o discrete multitone (DMT) - including adaptive modulation and bit-loading. Wavelet modulation Trellis coded modulation (TCM), also known as trellis modulation Spread-spectrum techniques: o Direct-sequence spread spectrum (DSSS) o Chirp spread spectrum (CSS) according to IEEE 802.15.4a CSS uses pseudo-stochastic coding o Frequency-hopping spread spectrum (FHSS) applies a special scheme for channel release MSK and GMSK are particular cases of continuous phase modulation. Indeed, MSK is a particular case of the sub-family of CPM known as continuous-phase frequency-shift keying (CPFSK) which is defined by a rectangular frequency pulse (i.e. -
Software Defined Acoustic Underwater Modem
Software Defined Acoustic Underwater Modem Jakob Lindgren April 13, 2011 Abstract Today many types of communication are employed on seagoing vessels, such as radio, satellite and Wi-Fi but only one type of communication is practical for submerged vessels, the acoustic underwater modem. The ”off-the-shelf” modems are sometimes difficult to update and replace, especially on a large submarine. But by separating the hardware from the signal processing and making the software modular more versatility can be achieved. The questions that this thesis are asking are: is it possible to implement the signal processing in software? How small or large should the modules be? What kind of architecture should be used? This thesis shows that it is indeed possible to implement simple algorithms that can isolate a signal and read its content regardless of the hardware configuration. Calculations show that up to 13 kbps can be reached at a range of one kilometer. It is most practical to make the entire physical layer into one module and the size of the system could drastically change the type of architecture used. 1 Preface This Master's thesis from Jakob Lindgren is the final project for receiving the Master's degree in Robotics at M¨alardalenUniversity in V¨aster˚as,Sweden. It covers the basics of digital communication in the underwater channel as well as some simple algorithms for software defined communication. The purpose of this master thesis is to investigate how a software defined acoustic underwater communication can be implemented. This work was done at Saab Underwater Systems in Motala, Sweden, during the autumn term of 2010. -
Etsi En 302 878-2 V1.1.1 (2011-11)
ETSI EN 302 878-2 V1.1.1 (2011-11) European Standard Access, Terminals, Transmission and Multiplexing (ATTM); Third Generation Transmission Systems for Interactive Cable Television Services - IP Cable Modems; Part 2: Physical Layer; DOCSIS 3.0 2 ETSI EN 302 878-2 V1.1.1 (2011-11) Reference DEN/ATTM-003006-2 Keywords access, broadband, cable, data, IP, IPCable, modem ETSI 650 Route des Lucioles F-06921 Sophia Antipolis Cedex - FRANCE Tel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16 Siret N° 348 623 562 00017 - NAF 742 C Association à but non lucratif enregistrée à la Sous-Préfecture de Grasse (06) N° 7803/88 Important notice Individual copies of the present document can be downloaded from: http://www.etsi.org The present document may be made available in more than one electronic version or in print. In any case of existing or perceived difference in contents between such versions, the reference version is the Portable Document Format (PDF). In case of dispute, the reference shall be the printing on ETSI printers of the PDF version kept on a specific network drive within ETSI Secretariat. Users of the present document should be aware that the document may be subject to revision or change of status. Information on the current status of this and other ETSI documents is available at http://portal.etsi.org/tb/status/status.asp If you find errors in the present document, please send your comment to one of the following services: http://portal.etsi.org/chaircor/ETSI_support.asp Copyright Notification No part may be reproduced except as authorized by written permission. -
CE-OFDM Thesis
Design and Implementation of a Constant Envelope OFDM Waveform in a Software Defined Radio Platform Amos Vershima Ajo Jr. Thesis submitted to the faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering Carl B. Dietrich, Chair A. A. (Louis) Beex, Chair Allen B. MacKenzie May 5, 2016 Blacksburg, Virginia Keywords: OFDM, Constant Envelope OFDM, Peak-to-Average Power Ratio, Software Defined Radio, GNU Radio Design and Implementation of a Constant Envelope OFDM Waveform in a Software Defined Radio Platform Amos Vershima Ajo Jr. ABSTRACT This thesis examines the high peak-to-average-power ratio (PAPR) problem of OFDM and other spectrally-efficient multicarrier modulation schemes, specifically their stringent requirements for highly linear, power-inefficient amplification. The thesis then presents a most intriguing answer to the PAPR-problem in the form of a constant-envelope OFDM (CE-OFDM) waveform, a waveform which employs phase modulation to transform the high-PAPR OFDM signal into a constant envelope signal, like FSK or GMSK, which can be amplified with non-linear power amplifiers at near saturation levels of efficiency. A brief analytical description of CE-OFDM and its suboptimal receiver architecture is provided in order to define and analyze the key parameters of the waveform and their performance impacts. The primary contribution of this thesis is a highly tunable software-defined radio (SDR) implementation of the waveform which enables rapid-prototyping and testing of CE-OFDM systems. The digital baseband processing of the waveform is executed on a general purpose processor (GPP) in the Ubuntu 14.04 Linux operating system, and programmed using the GNU Radio SDR software framework with a mixture of Python and C++ routines. -
Angle Modulation
ANGLE MODULATION [email protected] Source : SIGA2800 Basic SIGINT Technology Objectives 1. Identify which modulations are also known as angle modulations. 2. Given a maximum modulating frequency and either a frequency of deviation or deviation ratio of a frequency modulated signal, determine signal bandwidth as given by Carson's rule. Objectives 3. Given a bandwidth and either a maximum frequency deviation or deviation ratio, calculate the maximum modulating frequency that will comply with Carson's rule. Objectives 4. Given a carrier being frequency modulated by a sine wave at a fixed deviation ratio, calculate: a. Average signal power b. Bandwidth in accordance with Carson's rule. c. Signal power present at the carrier frequency, any frequency harmonic, and at a frequency equal to the frequency deviation. Objectives 5. For angle modulated signals, identify what factors drive overall power in the signal. 6. State what factors affect the bandwidth of signals modulated using angle modulation. Sinewave Characteristics Phase Period Time 1 Frequency Period A sinusoid has three properties . These are its amplitude, period (or frequency), and phase. Types of Modulation Amplitude Modulation Phase Modulation Asin(t ) Asin(t ) Frequency Modulation With very few exceptions, phase modulation is used for digital information. Asin(t ) Types of Modulation Types of Information Carrier • Analog Variations Amplitude • Digital Frequency These two Phase constitute angle modulation. (Objective #1) WHAT IS ANGLE MODULATION? Angle modulation is a variation of one of these two parameters. UNDERSTANDING PHASE VS. FREQUENCY To understand the difference between phase and frequency, V a signal can be thought of phase using a phasor diagram. -
Download Article
IJIRST –International Journal for Innovative Research in Science & Technology| Volume 1 | Issue 8 | January 2015 ISSN (online): 2349-6010 High Speed Low Power Veterbi Decoder For TCM Decoders Using Xilinx T.Mahesh Kumar P.Vijai Bhaskar M.Tech (VLSI) Head of the Department Department of Electronics & Communication Engineering, Department of Electronics & Communication Engineering, JNTUH JNTUH AVN Institute of Engineering & Technology Telangana, India AVN Institute of Engineering & Technology Telangana, India Abstract It is well known that the Viterbi decoder (VD) is the dominant module determining the overall power consumption of TCM decoders. High-speed, low-power design of Viterbi decoders for trellis coded modulation (TCM) systems is presented in this paper. We propose a pre-computation architecture incorporated with -algorithm for VD, which can effectively reduce the power consumption without degrading the decoding speed much. A general solution to derive the optimal pre-computation steps is also given in the paper. Implementation result of a VD for a rate-3/4 convolutional code used in a TCM system shows that compared with the full trellis VD, the precomputation architecture reduces the power consumption by as much as 70% without performance loss, while the degradation in clock speed is negligible. Keywords: Viterbi Decoder, VLSI, Trellis Coded Modulation (TCM). _______________________________________________________________________________________________________ I. INTRODUCTION In telecommunication, trellis modulation (also known as trellis coded modulation, or simply TCM) is a modulation scheme which allows highly efficient transmission of information over band-limited channels such as telephone lines. Trellis modulation was invented by Gottfried Ungerboeck working for IBM in the 1970s, and first described in a conference paper in 1976; but it went largely unnoticed until he published a new detailed exposition in 1982 which achieved sudden widespread recognition. -
Proceedings Include Papers Addressing Different Topics According to the Current Students’ Interest in Informatics
Copyright c 2019 FEUP Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any part of this work in other works must be obtained from the editors. 1st Edition, 2019 ISBN: 978-972-752-243-9 Editors: A. Augusto Sousa and Carlos Soares Faculty of Engineering of the University of Porto Rua Dr. Roberto Frias, 4200-465 Porto DSIE’19 SECRETARIAT: Faculty of Engineering of the University of Porto Rua Dr. Roberto Frias, s/n 4200-465 Porto, Portugal Telephone: +351 22 508 21 34 Fax: +351 22 508 14 43 E-mail: [email protected] Symposium Website: https://web.fe.up.pt/ prodei/dsie19/index.html FOREWORD STEERING COMMITTEE DSIE - Doctoral Symposium in Informatics Engineering, now in its 14th Edition, is an opportunity for the PhD students of ProDEI (Doctoral Program in Informatics Engineering of FEUP) and MAP-tel (Doctoral Program in Telecommunications of Universities of Minho, Aveiro and Porto) to show up and prove they are ready for starting their respective theses work. DSIE is a series of meetings that started in the first edition of ProDEI, in the scholar year 2005/06; its main goal has always been to provide a forum for discussion on, and demonstration of, the practical application of a variety of scientific and technological research issues, particularly in the context of information technology, computer science and computer engineering. DSIE Symposium comes out as a natural conclusion of a mandatory ProDEI course called "Methodologies for Scientific Research" (MSR), this year also available to MAP-tel students, leading to a formal assessment of the PhD students first year’s learned competencies on those methodologies. -
Angle Modulation: –Comparison of NBFM with WBFM –Generation of FM Waves –Demodulation of FM Waves –Problems
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY KAKINADA KAKINADA – 533 001 , ANDHRA PRADESH GATE Coaching Classes as per the Direction of Ministry of Education GOVERNMENT OF ANDHRA PRADESH Analog Communication 26-05-2020 to 06-07-2020 Prof. Ch. Srinivasa Rao Dept. of ECE, JNTUK-UCE Vizianagaram Analog Communication-Day 5, 30-05-2020 Presentation Outline Angle Modulation: –Comparison of NBFM with WBFM –Generation of FM waves –Demodulation of FM waves –Problems 30-05-2020 Prof.Ch.Srinivasa Rao, JNTUK UCEV 2 Learning Outcomes • At the end of this Session, Student will be able to: • LO 1 : Demonstrate the generation and demodulation of angle modulated waves • LO2 : Pre-emphasis and De-emphasis • LO 2 : Compare NBFM with WBFM 30-05-2020 Prof.Ch.Srinivasa Rao, JNTUK UCEV 3 Angle Modulation Definition: The modulation in which, the angle of the carrier wave is varied according to the baseband signal. • An important feature of this modulation is that it can provide better discrimination against noise and interference than amplitude modulation. • An important feature of Angle mod. is that it can provide better discrimination against noise and distortion • Complexity Vs. Noise and interference Tradeoff • Two types: • Phase modulation • Frequency Modulation Angle Modulation • The angle modulated wave can be expressed as (1) where denotes the angle of a modulated sinusoidal carrier and is the carrier amplitude. A complete oscillation occurs whenever changes by 2π radians. • If increases monotonically with time, the average frequency in Hertz, over an interval from t to t+ Δt, is given by • We may therefore define the instantaneous frequency of the angle modulated signal s(t) as follows • Thus according to the equation (1), we may interpret the angle modulated signal s(t) as a rotating phasor of length Ac and angle • The angular velocity of such a phasor is measured in radians per second, in accordance with equation (3). -
Amplitude and Angle Modulation
22 Communication Systems CHAPTER 2 Amplitude and Angle Modulation 2.1 INTRODUCTION Modulation is the process or result of the process by which a message is changed into information. Modulation plays vital role in the field of communication. Communication involves the transmission, reception and processing of information by electrical means. For the propagation of electric signals, the media used is electromagnetic field and when this field changes with time it takes the form of wave. Modulation is also the process whereby in response to the received wave either the original message or information pertaining the original message is made available in the desired form and is delivered when it is wanted. “Demodulation and detection” are the terms often observed to denote the recovery of the wanted message from a modulated signal. Modulation is fundamental to communication and it implies the bandwidth occupancy. In the chapter, we will basically deal with the fundamental concepts of Amplitude Modulation and Phase Modulation. 2.2 NEED FOR MODULATION If the signal is send directly, i.e. without modulation, i.e. unmodulated carrier several difficulties arise which are listed below: (1) Antenna height: Theory of antenna tells that for the efficient radiation of electromagnetic waves the height of antenna must be comparable to the quarter wavelength of the frequency which we are using. Now suppose you want to transmit the audio frequency, i.e. 20 kHz, we know that Cf= λ C ∴λ = (1) f where, λ = wavelength, C = velocity of light, f = frequency 24 Communication Systems In the process of modulation low frequency bandlimited signal is mixed with high frequency wave called, “carrier wave”. -
DOCSIS 3.0 Physical Layer Specification
Data-Over-Cable Service Interface Specifications DOCSIS® 3.0 Physical Layer Specification CM-SP-PHYv3.0-C01-171207 CLOSED Notice This DOCSIS specification is the result of a cooperative effort undertaken at the direction of Cable Television Laboratories, Inc. for the benefit of the cable industry and its customers. You may download, copy, distribute, and reference the documents herein only for the purpose of developing products or services in accordance with such documents, and educational use. Except as granted by CableLabs® in a separate written license agreement, no license is granted to modify the documents herein (except via the Engineering Change process), or to use, copy, modify or distribute the documents for any other purpose. This document may contain references to other documents not owned or controlled by CableLabs. Use and understanding of this document may require access to such other documents. Designing, manufacturing, distributing, using, selling, or servicing products, or providing services, based on this document may require intellectual property licenses from third parties for technology referenced in this document. To the extent this document contains or refers to documents of third parties, you agree to abide by the terms of any licenses associated with such third-party documents, including open source licenses, if any. © Cable Television Laboratories, Inc., 2006 - 2017 CM-SP-PHYv3.0-C01-171207 Data-Over-Cable Service Interface Specifications DISCLAIMER This document is furnished on an "AS IS" basis and neither CableLabs nor its members provides any representation or warranty, express or implied, regarding the accuracy, completeness, noninfringement, or fitness for a particular purpose of this document, or any document referenced herein.