Modulation of Digital Data
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Degree Project
Degree project Performance of MLSE over Fading Channels Author: Aftab Ahmad Date: 2013-05-31 Subject: Electrical Engineering Level: Master Level Course code: 5ED06E To my parents, family, siblings, friends and teachers 1 Research is what I'm doing when I don't know what I'm doing1 Wernher Von Braun 1Brown, James Dean, and Theodore S. Rodgers. Doing Second Language Research: An introduction to the theory and practice of second language research for graduate/Master's students in TESOL and Applied Linguistics, and others. OUP Oxford, 2002. 2 Abstract This work examines the performance of a wireless transceiver system. The environment is indoor channel simulated by Rayleigh and Rician fading channels. The modulation scheme implemented is GMSK in the transmitter. In the receiver the Viterbi MLSE is implemented to cancel noise and interference due to the filtering and the channel. The BER against the SNR is analyzed in this thesis. The waterfall curves are compared for two data rates of 1 M bps and 2 Mbps over both the Rayleigh and Rician fading channels. 3 Acknowledgments I would like to thank Prof. Sven Nordebo for his supervision, valuable time and advices and support during this thesis work. I would like to thank Prof. Sven-Eric Sandstr¨om.Iwould also like to thank Sweden and Denmark for giving me an opportunity to study in this education system and experience the Scandinavian life and culture. I must mention my gratitude to Sohail Atif, javvad ur Rehman, Ahmed Zeeshan and all the rest of my buddies that helped me when i most needed it. -
Bit & Baud Rate
What’s The Difference Between Bit Rate And Baud Rate? Apr. 27, 2012 Lou Frenzel | Electronic Design Serial-data speed is usually stated in terms of bit rate. However, another oft- quoted measure of speed is baud rate. Though the two aren’t the same, similarities exist under some circumstances. This tutorial will make the difference clear. Table Of Contents Background Bit Rate Overhead Baud Rate Multilevel Modulation Why Multiple Bits Per Baud? Baud Rate Examples References Background Most data communications over networks occurs via serial-data transmission. Data bits transmit one at a time over some communications channel, such as a cable or a wireless path. Figure 1 typifies the digital-bit pattern from a computer or some other digital circuit. This data signal is often called the baseband signal. The data switches between two voltage levels, such as +3 V for a binary 1 and +0.2 V for a binary 0. Other binary levels are also used. In the non-return-to-zero (NRZ) format (Fig. 1, again), the signal never goes to zero as like that of return- to-zero (RZ) formatted signals. 1. Non-return to zero (NRZ) is the most common binary data format. Data rate is indicated in bits per second (bits/s). Bit Rate The speed of the data is expressed in bits per second (bits/s or bps). The data rate R is a function of the duration of the bit or bit time (TB) (Fig. 1, again): R = 1/TB Rate is also called channel capacity C. If the bit time is 10 ns, the data rate equals: R = 1/10 x 10–9 = 100 million bits/s This is usually expressed as 100 Mbits/s. -
Application of 4K-QAM, LDPC and OFDM for Gbps Data Rates Over HFC Plant David John Urban Comcast
Application of 4K-QAM, LDPC and OFDM for Gbps Data Rates over HFC Plant David John Urban Comcast Abstract Higher spectral density requires mapping more bits into a symbol at the expense of a This paper describes the application of higher signal to noise ratio (SNR) threshold. 4096-QAM, low density parity check codes The new physical layer will map 12 bits per (LDPC), and orthogonal frequency division symbol on the downstream compared to the 8 multiplexing (OFDM) to transmission over a bits per symbol used in DOCSIS 3.0. 4K- hybrid fiber coaxial cable plant (HFC). These QAM (or 4096-QAM) is a modulation techniques enable data rates of several Gbps. technique that has 4,096 points in the constellation diagram and each point is A complete derivation of the equations mapped to 12 bits. The new physical layer used for log domain sum product LDPC will map 10 bits per symbol using 1024-QAM decoding is provided. The reasons for (or 1K-QAM) on the upstream compared to 6 selecting OFDM and 4K-QAM are described. bits per symbol with 64-QAM used in Analysis of performance in the presence of DOCSIS 3.0. noise taken from field measurements is made. INCREASING SPECTRAL EFFICIENCY INTRODUCTION The three key methods for increasing the A new physical layer is being developed for spectral efficiency of the HFC plant in the transmission of data over a HFC cable plant. new physical layer are LDPC, OFDM and The objective is to increase the HFC plant 4K-QAM. LDPC is a very efficient coding capacity. -
A Measurement Instrument for Fault Diagnosis in Qam-Based Telecommunications
12th IMEKO TC4 International Symposium Electrical Measurements and Instrumentation September 25−27, 2002, Zagreb, Croatia A MEASUREMENT INSTRUMENT FOR FAULT DIAGNOSIS IN QAM-BASED TELECOMMUNICATIONS Pasquale Arpaia(1), Luca De Vito(1,2), Sergio Rapuano(1), Gioacchino Truglia(1,2) (1) Dipartimento di Ingegneria, Università del Sannio, piazza Roma, Benevento, Italy (2) Telsey Telecommunications, viale Mellusi 68, Benevento, Italy Abstract − A method for diagnosing faults in Some techniques for classifying automatically the main communication systems based on QAM (Quadrature faults on QAM modulation via the constellation diagram Amplitude Modulation) modulation scheme is proposed. were proposed. The approach followed in [4] is based on a The most relevant faults affecting this modulation have been Wavelet Network (WN). This method provides very good observed and modelled. Such faults, individually and results on simulated and actual signals. combined, are classified and estimated by analysing the Another method classifies the faults through an image- statistical moments of the received symbols. Simulation and processing approach [5]. The constellation diagram is experimental results of characterisation and validation digitised, then the obtained image is compared with some highlight the practical effectiveness of the proposed method. fault models, by using a correlation method, and a similarity score is provided. Keywords: Fault diagnosis, telecommunication, testing, However, both the WN- and the image processing-based QAM. methods can recognize and eventually measure only the dominating fault, and can not recognize the simultaneous 1. INTRODUCTION presence of several faults. In this paper, a diagnostics method, based on analytical Quadrature Amplitude Modulation (QAM) is an estimation of the statistical moments of the received symbol attractive method for transmitting two data streams in distribution, is proposed for QAM-modulation. -
N9064A & W9064A VXA Signal Analyzer Measurement Application Measurement Guide
Agilent X-Series Signal Analyzer This manual provides documentation for the following analyzers: PXA Signal Analyzer N9030A MXA Signal Analyzer N9020A EXA Signal Analyzer N9010A CXA Signal Analyzer N9000A N9064A & W9064A VXA Signal Analyzer Measurement Application Measurement Guide Agilent Technologies Notices © Agilent Technologies, Inc. Manual Part Number as defined in DFAR 252.227-7014 2008-2010 (June 1995), or as a “commercial N9064-90002 item” as defined in FAR 2.101(a) or No part of this manual may be as “Restricted computer software” reproduced in any form or by any Supersedes: July 2010 as defined in FAR 52.227-19 (June means (including electronic storage Print Date 1987) or any equivalent agency and retrieval or translation into a regulation or contract clause. Use, foreign language) without prior October 2010 duplication or disclosure of Software agreement and written consent from is subject to Agilent Technologies’ Agilent Technologies, Inc. as Printed in USA standard commercial license terms, governed by United States and Agilent Technologies Inc. and non-DOD Departments and international copyright laws. 1400 Fountaingrove Parkway Agencies of the U.S. Government Trademark Santa Rosa, CA 95403 will receive no greater than Acknowledgements Warranty Restricted Rights as defined in FAR 52.227-19(c)(1-2) (June 1987). U.S. Microsoft® is a U.S. registered The material contained in this Government users will receive no trademark of Microsoft Corporation. document is provided “as is,” and is greater than Limited Rights as subject to being changed, without defined in FAR 52.227-14 (June Windows® and MS Windows® are notice, in future editions. -
The Three Myths of Optical Capacity Scaling How to Maximize and Monetize Subsea Cable Capacity
WHITE PAPER The Three Myths of Optical Capacity Scaling How to Maximize and Monetize Subsea Cable Capacity MYTH 1 Scaling BAUD RATE increases spectral efficiency, thereby increasing total subsea fiber capacity MYTH 2 Scaling MODULATION ORDER increases spectral efficiency, thereby increasing total subsea fiber capacity MYTH 3 Scaling INTEGRATION has no effect on spectral efficiency or subsea fiber capacity AXES OF SCALABILITY Capacity/wave Capacity/device Baud G/Wave 100 Gbaud 800 Gb/s+ 2.4 Tb/s 600 Gb/s 66 Gbaud 1.2 Tb/s 200 Gb/s 500 Gb/s 33 Gbaud 100 Gb/s Modulation Fiber capacity 6 Carrier SC 1.2 @ 16QAM QPSK 8QAM 16QAM 237.5 GHz 64QAM CS-64QAM Multi-channel Super-channel Gb/s/unit FigureFigure 1: 1: Three The Three axes Axes of opticalof Optical scalability Scaling The Three Axes of Optical Scaling Figure 1 shows the three axes that are needed for optical scaling—baud rate, modulation order and integration. This paper will discuss scaling along each of these axes, but it is important to clarify exactly what is being scaled. There are at least three interpretations: • Increasing the data rate per wavelength • Increasing the capacity per line card or appliance • Increasing the total fiber capacity, or spectral efficiency These can potentially be scaled independently, or in concert as transponder technology evolves. In subsea deployments total fiber capacity, or spectral efficiency, is usually the dominant factor in determining overall network economics, so it becomes extremely important to understand the most effective way to achieve total capacity, especially when scaling baud rate has become a focal point for many dense wavelength-division multiplexing (DWDM) vendors today. -
R&S®FSW-K70 Measuring the BER and the EVM for Signals With
R&S®FSW-K70 Measuring the BER and the EVM for Signals with Low SNR Application Sheet Signals with low signal-to-noise ratios (SNR) often cause bit errors during demodulation, so that modula- tion accuracy values such as the error vector magnitude (EVM) may not be determined correctly. This application sheet describes: ● The significance of the Bit Error Rate (BER) parameter for signal analysis ● How the R&S FSW VSA application calculates the BER and determines bit errors ● How this knowledge can be used to obtain correct modulation accuracy results (;ÜOÔ2) 1178.3170.02 ─ 01 Application Sheet Test & Measurement R&S®FSW-K70 Contents Contents 1 Introduction............................................................................................ 2 2 How to Create Known Data Files..........................................................3 3 BER Measurement in the R&S FSW VSA application.........................6 4 Tips for Improving Signal Demodulation in Preparation for the Known Data File..................................................................................... 8 5 Measurement Example - Measuring the BER....................................14 6 Additional Information.........................................................................16 1 Introduction What is the Bit Error Rate (BER)? In signal analysis, a bit error occurs when a false symbol decision is made during demodulation. That is: the demodulated symbol does not correspond to the transmitted symbol. Bit errors often occur when demodulating highly distorted signals -
Quadrature Amplitude Modulation (QAM) Or Amplitude Phase Shift Keying (APSK) S(T ) = a Sin(2Π F T + )
ΕΠΛ 427: ΚΙΝΗΤΑ ΔΙΚΤΥΑ ΥΠΟΛΟΓΙΣΤΩΝ (MOBILE NETWORKS) Δρ. Χριστόφορος Χριστοφόρου Πανεπιστήμιο Κύπρου - Τμήμα Πληροφορικής Modulation Techniques (Τεχνικές Διαμόρφωσης) Recall (Process and Elements of Radio Transmission) 1 Modulation Demodulation Topics Discussed 2 Digital Modulation Bit rate, Baud rate Basic Digital Modulation Techniques (ASK, FSK, PSK, QAM) Constellation diagrams Factors that influence the choice of Digital Modulation Scheme – Power Efficiency, Bandwidth Efficiency Modulation 3 Message Signal (Data to be transmitted) Carrier signal with frequency fc Controlling the Amplitude of the carrier signal (ASK) Controlling the Frequency of the carrier signal (FSK) Controlling the Phase of the Modulated Signals Modulated carrier signal (PSK) Analog and Digital Signals Αναλογικά και Ψηφιακά Σήματα 4 Means by which data are propagated over a medium (Οι τρόποι με τους οποίους τα δεδομένα διαδίδονται μέσω κάποιου μέσου). An Analog Signal is a continuously varying electromagnetic wave (ένα συνεχόμενο εναλλασσόμενο ηλεκτρομαγνητικό κύμα) that may be propagated over a variety of media: Wire, fiber optic, coaxial, space (wireless) A digital signal is a sequence of discrete voltage pulses (είναι μια αλληλουχία διακριτών παλμών τάσης) that can be transmitted over a wire medium: E.g., a constant positive level of voltage to represent bit 1 and a constant negative level to represent bit 0. Modulation for Wireless Digital Modulation 5 Digital modulation is the process by which an analog carrier wave is modulated to include a discrete (digital) signal. (Ψηφιακή διαμόρφωση είναι η διαδικασία κατά την οποία ένας μεταφορέας αναλογικού σήματος διαμορφώνεται έτσι ώστε να συμπεριλάβει ένα διακριτό (ψηφιακό) σήμα (π.χ., 1 or 0)) Digital modulation methods can be considered as Digital-to- Analog conversion, and the corresponding Demodulation (e.g., at the Receiver) as Analog-to-Digital conversion. -
Digital Phase Modulation: a Review of Basic Concepts
Digital Phase Modulation: A Review of Basic Concepts James E. Gilley Chief Scientist Transcrypt International, Inc. [email protected] August , Introduction The fundamental concept of digital communication is to move digital information from one point to another over an analog channel. More specifically, passband dig- ital communication involves modulating the amplitude, phase or frequency of an analog carrier signal with a baseband information-bearing signal. By definition, fre- quency is the time derivative of phase; therefore, we may generalize phase modula- tion to include frequency modulation. Ordinarily, the carrier frequency is much greater than the symbol rate of the modulation, though this is not always so. In many digital communications systems, the analog carrier is at a radio frequency (RF), hundreds or thousands of MHz, with information symbol rates of many megabaud. In other systems, the carrier may be at an audio frequency, with symbol rates of a few hundred to a few thousand baud. Although this paper primarily relies on examples from the latter case, the concepts are applicable to the former case as well. Given a sinusoidal carrier with frequency: fc , we may express a digitally-modulated passband signal, S(t), as: S(t) A(t)cos(2πf t θ(t)), () = c + where A(t) is a time-varying amplitude modulation and θ(t) is a time-varying phase modulation. For digital phase modulation, we only modulate the phase of the car- rier, θ(t), leaving the amplitude, A(t), constant. BPSK We will begin our discussion of digital phase modulation with a review of the fun- damentals of binary phase shift keying (BPSK), the simplest form of digital phase modulation. -
Phase Jitter in DTV Signals
BROADCASTING DIVISION Application Note Phase Jitter in DTV Signals Products: TV Test Transmitter R&S SFQ TV Test Receiver R&S EFA 7BM30_0E Contents Phase Jitter in DTV Signals 1 Introduction ................................................................................................... 3 2 Measurement Capabilities of TV Test Transmitter R&S SFQ ................. 3 2.1 Phase Jitter Generation and Test Setup ................................................... 3 2.2 What Phase Jitter is Produced at What Modulation Frequency fMOD? ..... 4 2.3 Examples of Phase Jitter in a Constellation Diagram ............................ 5 2.4 Phase Jitter as a Function of Modulation Frequency ............................ 6 2.5 Phase Jitter Limits for 16QAM and 64QAM ................................................... 6 3 Summary ................................................................................................ 6 Appendix – Technical Data of Mixer R&S MUF2-Z2 ....................................... 7 2 BROADCASTING DIVISION Phase Jitter in DTV Signals 2 Measurement Capabilities of 1 Introduction TV Test Transmitter R&S SFQ Today's state-of-the-art TV test transmitters for TV Test Transmitter R&S SFQ meets the digital TV provide signals fully complying with requirements of DVB and ATSC. Multistandard the European DVB (digital video broadcasting) test capability is provided through options. The standard and the U.S. ATSC (advanced three DVB substandards – DVB-C (cable), television systems committee) standard. DVB-S (satellite) and DVB-T (terrestrial) – are Featuring calibrated settings for each of these also implemented by means of options. Another standards, the transmitters cover all parameters option is available for fading simulation. stipulated by the respective specifications. Configured in this way, the test transmitter is TV test transmitters must not only be capable of capable of setting and varying all of the above generating signals in conformance with signal parameters except for phase jitter. -
Lecture 10 Digital I/Q Transceiver
Lecture 10 Digital I/Q Transceiver Digital I/Q Transceiver • Constellation Diagram •SNR • Eye Diagram Lab 5 • Transmitter • Analog Receiver • Digital Receiver 10/17/2006 Digital Modulation Baseband Input Receiver Output Lowpass it(t) ir(t) t t π π 2cos(2 f1t) 2cos(2 f1t) π π 2sin(2 f1t) 2sin(2 f1t) Lowpass qt(t) qr(t) t t Decision Boundaries Sample Times • I/Q signals take on discrete values at discrete time instants corresponding to digital data – Receiver samples I/Q channels • Uses decision boundaries to evaluate value of data at each time instant • I/Q signals may be binary or multi-bit – Multi-bit shown above 10/17/2006 L Lecture 10 Fall 2006 2 Constellation Diagram-16QAM Q 00 01 11 10 Receiver Output 00 01 Decision t Boundaries I 11 10 t Decision Sample Boundaries Times • We can view I/Q values at sample instants on a two- dimensional coordinate system • Decision boundaries mark up regions corresponding to different data values • Gray coding used to minimize number of bit errors that occur if wrong decisions made due to noise 10/17/2006 L Lecture 10 Fall 2006 3 Impact of Noise on Constellation Diagram High Power Low Power • Sampled data values no longer land in exact same location across all sample instants while decision boundaries remain fixed • Significant noise causes bit errors to be made • Increasing signal power increases distance between decision boundaries i.e., increased SNR 10/17/2006 L Lecture 10 Fall 2006 4 Transition Behavior Between Constellation Points Q 00 01 11 10 00 Decision 01 Boundaries I 11 10 Decision Boundaries • Constellation diagrams provide us with a snapshot of I/Q signals at sample instants • Transition behavior between sample points depends on modulation scheme and transmit filter 10/17/2006 L Lecture 10 Fall 2006 5 Need for Transmit Filter data(t) x(t) Td O-Order t t Track & Hold • Steps in waveform x(t) have high frequency components. -
Chapter 5 Analog Transmission
Chapter 5 Analog Transmission 5.1 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 5-1 DIGITAL-TO-ANALOG CONVERSION Digital--tto--analoanalog conversion is the process of changing one of the characteristics of an analog signal based on the information in digital data.. Topics discussed in this section: Aspects of Digital-to-Analog Conversion Amplitude Shift Keying Frequency Shift Keying Phase Shift Keying Quadrature Amplitude Modulation 5.2 Figure 5.1 Digital-to-analog conversion Digital-to-analog modulation (or shift keying): changing one of the characteristics of the analog signal …… based on the information of the digital signal (carrying digital information onto analog signals) Changing any of the characteristics of the simple signal (amplitude, frequency, or phase) would change the nature of the signal to become a composite signal 5.3 Figure 5.2 Types of digital-to-analog conversion 5.4 Asppgects of Digital-to-Analog Conversion Data Element vs. Signal Element Data Rate vs. Signal Rate S = N/r r=logr = log2 L, where L is the number of signal elements Bandwidth: The required bandwidth for analog transmission of digital data is proportional to the signal rate Carrier Signal: The digital data changes the carrier signal by modifying one of its characteristics This is called modulation (or Shift Keying) The receiver is tuned to the carrier signal’s frequency 5.5 Note Bit rate is the number of bits per second. Baud rate is the number of signal elements per second . In the analog transmission of digital data, the baud rate is less than or equal to the bit rate.