Digital Modulation) Amplitude Shift Keying (ASK
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UNIT V- SPREAD SPECTRUM MODULATION Introduction
UNIT V- SPREAD SPECTRUM MODULATION Introduction: Initially developed for military applications during II world war, that was less sensitive to intentional interference or jamming by third parties. Spread spectrum technology has blossomed into one of the fundamental building blocks in current and next-generation wireless systems. Problem of radio transmission Narrow band can be wiped out due to interference. To disrupt the communication, the adversary needs to do two things, (a) to detect that a transmission is taking place and (b) to transmit a jamming signal which is designed to confuse the receiver. Solution A spread spectrum system is therefore designed to make these tasks as difficult as possible. Firstly, the transmitted signal should be difficult to detect by an adversary/jammer, i.e., the signal should have a low probability of intercept (LPI). Secondly, the signal should be difficult to disturb with a jamming signal, i.e., the transmitted signal should possess an anti-jamming (AJ) property Remedy spread the narrow band signal into a broad band to protect against interference In a digital communication system the primary resources are Bandwidth and Power. The study of digital communication system deals with efficient utilization of these two resources, but there are situations where it is necessary to sacrifice their efficient utilization in order to meet certain other design objectives. For example to provide a form of secure communication (i.e. the transmitted signal is not easily detected or recognized by unwanted listeners) the bandwidth of the transmitted signal is increased in excess of the minimum bandwidth necessary to transmit it. -
CS647: Advanced Topics in Wireless Networks Basics
CS647: Advanced Topics in Wireless Networks Basics of Wireless Transmission Part II Drs. Baruch Awerbuch & Amitabh Mishra Computer Science Department Johns Hopkins University CS 647 2.1 Antenna Gain For a circular reflector antenna G = η ( π D / λ )2 η = net efficiency (depends on the electric field distribution over the antenna aperture, losses such as ohmic heating , typically 0.55) D = diameter, thus, G = η (π D f /c )2, c = λ f (c is speed of light) Example: Antenna with diameter = 2 m, frequency = 6 GHz, wavelength = 0.05 m G = 39.4 dB Frequency = 14 GHz, same diameter, wavelength = 0.021 m G = 46.9 dB * Higher the frequency, higher the gain for the same size antenna CS 647 2.2 Path Loss (Free-space) Definition of path loss LP : Pt LP = , Pr Path Loss in Free-space: 2 2 Lf =(4π d/λ) = (4π f cd/c ) LPF (dB) = 32.45+ 20log10 fc (MHz) + 20log10 d(km), where fc is the carrier frequency This shows greater the fc, more is the loss. CS 647 2.3 Example of Path Loss (Free-space) Path Loss in Free-space 130 120 fc=150MHz (dB) f f =200MHz 110 c f =400MHz 100 c fc=800MHz 90 fc=1000MHz 80 Path Loss L fc=1500MHz 70 0 5 10 15 20 25 30 Distance d (km) CS 647 2.4 Land Propagation The received signal power: G G P P = t r t r L L is the propagation loss in the channel, i.e., L = LP LS LF Fast fading Slow fading (Shadowing) Path loss CS 647 2.5 Propagation Loss Fast Fading (Short-term fading) Slow Fading (Long-term fading) Signal Strength (dB) Path Loss Distance CS 647 2.6 Path Loss (Land Propagation) Simplest Formula: -α Lp = A d where A and -
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. -
Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication
sensors Article Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication Chao Li 1,2,*, Franck Marzani 3 and Fan Yang 3 1 State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China 2 University of Chinese Academy of Sciences, Beijing 100190, China 3 LE2I EA7508, Université Bourgogne Franche-Comté, 21078 Dijon, France; [email protected] (F.M.); [email protected] (F.Y.) * Correspondence: [email protected] Received: 25 September 2018; Accepted: 28 November 2018; Published: 1 December 2018 Abstract: The chaos phase modulation sequences consist of complex sequences with a constant envelope, which has recently been used for direct-sequence spread spectrum underwater acoustic communication. It is considered an ideal spreading code for its benefits in terms of large code resource quantity, nice correlation characteristics and high security. However, demodulating this underwater communication signal is a challenging job due to complex underwater environments. This paper addresses this problem as a target classification task and conceives a machine learning-based demodulation scheme. The proposed solution is implemented and optimized on a multi-core center processing unit (CPU) platform, then evaluated with replay simulation datasets. In the experiments, time variation, multi-path effect, propagation loss and random noise were considered as distortions. According to the results, compared to the reference algorithms, our method has greater reliability with better temporal efficiency performance. Keywords: underwater acoustic communication; direct sequence spread spectrum; chaos phase modulation sequence; partial least square regression; machine learning 1. Introduction The underwater acoustic communication has always been a crucial research topic [1–6]. -
The Trade-Off Between Transceiver Capacity and Symbol Rate
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UCL Discovery The Trade-off Between Transceiver Capacity and Symbol Rate L. Galdino, D. Lavery, Z. Liu, K. Balakier, E. Sillekens, D. Elson, G. Saavedra, R. I. Killey and P. Bayvel Optical Networks Group, Dept. of Electronic & Electrical Engineering, University College London, UK [email protected] Abstract: The achievable throughput using high symbol rate, high order QAM is investigated for the current generation of CMOS-based DAC/ADC. The optimum symbol rate and modula- tion format is found to be 80GBd DP-256QAM, with an 800Gb/s net data rate. OCIS codes: (060.0060) Fiber optics and optical communications; (060.2360) Fiber optics links and subsystems 1. Introduction A key goal when designing a new optical transmission system is to increase the amount of data sent for a given cost. One way to reduce the cost-per-bit is to increase the channel symbol rate, which will maximise the amount of information sent over one channel and reduce the number of transceivers for a given transmission bandwidth. Currently, the upper limit on the available signal-to-noise ratio (SNR), and therefore channel highest achievable information rate (AIR) in a coherent optical transmission system, in the absence of fiber nonlinearity, is bounded by the transceiver subsystems, such as digital-to-analog converter (DAC) and analog to digital converter (ADC). The SNR of an ideal DAC / ADC is defined by the number of bits (N) which sets the quantization noise floor of the device [1]. -
Continuous Phase Modulation with Faster-Than-Nyquist Signaling for Channels with 1-Bit Quantization and Oversampling at the Receiver Rodrigo R
1 Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver Rodrigo R. M. de Alencar, Student Member, IEEE, and Lukas T. N. Landau, Member, IEEE, Abstract—Continuous phase modulation (CPM) with 1-bit construction of zero-crossings. The proposed CPM waveform quantization at the receiver is promising in terms of energy conveys the same information per time interval as the common and spectral efficiency. In this study, CPM waveforms with CPFSK while its bandwidth can be the same and even lower. symbol durations significantly shorter than the inverse of the signal bandwidth are proposed, termed faster-than-Nyquist CPM. Referring to the high signaling rate, like it is typical for faster- This configuration provides a better steering of zero-crossings than-Nyquist signaling [9], the novel waveform is termed as compared to conventional CPM. Numerical results confirm a faster-than-Nyquist continuous phase modulation (FTN-CPM). superior performance in terms of BER in comparison with state- Numerical results confirm that the proposed waveform yields of-the-art methods, while having the same spectral efficiency and a significantly reduced bit error rate (BER) as compared to a lower oversampling factor. Moreover, the new waveform can be detected with low-complexity, which yields almost the same the existing methods [7], [6] with at least the same spectral performance as using the BCJR algorithm. efficiency. In addition, FTN-CPM can be detected with low- complexity and with a lower effective oversampling factor in Index Terms—1-bit quantization, oversampling, continuous phase modulation, faster-than-Nyquist signaling. -
Digital Baseband Modulation Outline • Later Baseband & Bandpass Waveforms Baseband & Bandpass Waveforms, Modulation
Digital Baseband Modulation Outline • Later Baseband & Bandpass Waveforms Baseband & Bandpass Waveforms, Modulation A Communication System Dig. Baseband Modulators (Line Coders) • Sequence of bits are modulated into waveforms before transmission • à Digital transmission system consists of: • The modulator is based on: • The symbol mapper takes bits and converts them into symbols an) – this is done based on a given table • Pulse Shaping Filter generates the Gaussian pulse or waveform ready to be transmitted (Baseband signal) Waveform; Sampled at T Pulse Amplitude Modulation (PAM) Example: Binary PAM Example: Quaternary PAN PAM Randomness • Since the amplitude level is uniquely determined by k bits of random data it represents, the pulse amplitude during the nth symbol interval (an) is a discrete random variable • s(t) is a random process because pulse amplitudes {an} are discrete random variables assuming values from the set AM • The bit period Tb is the time required to send a single data bit • Rb = 1/ Tb is the equivalent bit rate of the system PAM T= Symbol period D= Symbol or pulse rate Example • Amplitude pulse modulation • If binary signaling & pulse rate is 9600 find bit rate • If quaternary signaling & pulse rate is 9600 find bit rate Example • Amplitude pulse modulation • If binary signaling & pulse rate is 9600 find bit rate M=2à k=1à bite rate Rb=1/Tb=k.D = 9600 • If quaternary signaling & pulse rate is 9600 find bit rate M=2à k=1à bite rate Rb=1/Tb=k.D = 9600 Binary Line Coding Techniques • Line coding - Mapping of binary information sequence into the digital signal that enters the baseband channel • Symbol mapping – Unipolar - Binary 1 is represented by +A volts pulse and binary 0 by no pulse during a bit period – Polar - Binary 1 is represented by +A volts pulse and binary 0 by –A volts pulse. -
An Introduction to Orthogonal Frequency Division Multiplex Technology
www.keithley.com An Introduction to Orthogonal Frequency Division Multiplex Technology 1 A G R E A T E R M E A S U R E O F C O N F I D E N C E © Copyright 2004 Keithley Instruments, Inc. www.keithley.com Agenda • Part One – OFDM and SISO radio configurations – SISO – Single Input Single Output Radio Topology – Why use OFDM? – Digital Modulation Overview – Multi-path Issues – OFDM and WLAN – OFDMA and WiMAX – Test Equipment Requirements • Part Two – OFDM and MIMO radio configurations – MIMO – Multiple Input Multiple Output Radio Topology – MIMO and WLAN – MIMO and WiMAX – Beam Forming – Test Equipment Requirements • Conclusion – Technology Overview and Test Equipment Summary 2 A G R E A T E R M E A S U R E O F C O N F I D E N C E © Copyright 2007-2008 Keithley Instruments, Inc. www.keithley.com What is SISO? Single-Input Single-Output Traditional – SISO Architecture Data Data MAC Radio Radio MAC Single Data Channel • One radio, only one antenna used at a time (e.g., 1 x 1 ) • Antennas constantly switched for best signal path • Only one data “stream” and a single data channel 3 A G R E A T E R M E A S U R E O F C O N F I D E N C E © Copyright 2007-2008 Keithley Instruments, Inc. www.keithley.com System Standards using OFDM Wireless • IEEE 802.11a, g, j, n (WiFi) Wireless LANs • IEEE 802.15.3a Ultra Wideband (UWB) Wireless PAN • IEEE 802.16d, e (WiMAX), WiBro, and HiperMAN Wireless MANs • IEEE 802.20 Mobile Broadband Wireless Access (MBWA) • DVB (Digital Video Broadcast) terrestrial TV systems: DVB-T, DVB-H, T-DMB and ISDB-T • DAB (Digital Audio Broadcast) systems: EUREKA 147, Digital Radio Mondiale, HD Radio, T-DMB and ISDB-TSB • Flash-OFDM cellular systems • 3GPP UMTS & 3GPP@ LTE (Long-Term Evolution), and 4G Wireline • ADSL and VDSL broadband access via POTS copper wiring • MoCA (Multi-media over Coax Alliance) home networking • PLC (Power Line Communication) 4 A G R E A T E R M E A S U R E O F C O N F I D E N C E © Copyright 2007-2008 Keithley Instruments, Inc. -
An Introduction to Orthogonal Frequency-Division Multiplexing
An introduction to orthogonal frequency-division multiplexing Edfors, Ove; Sandell, Magnus; van de Beek, Jan-Jaap; Landström, Daniel; Sjöberg, Frank 1996 Link to publication Citation for published version (APA): Edfors, O., Sandell, M., van de Beek, J-J., Landström, D., & Sjöberg, F. (1996). An introduction to orthogonal frequency-division multiplexing. (Div. of Signal Processing, Research Report; Vol. TULEA 1996:16). Luleå University of Technology. Total number of authors: 5 General rights Unless other specific re-use rights are stated the following general rights apply: Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Read more about Creative commons licenses: https://creativecommons.org/licenses/ Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. LUND UNIVERSITY PO Box 117 221 00 Lund +46 46-222 00 00 !N INTRODUCTION TO ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING /VE -
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. -
Introduction to Satellite Network Technologies
Introduction to Satellite Network Technologies Luis Alejos SAM REDDIG Administrator Lima, Peru - July 2011 Geographical Coverage Network Topologies Determined by the communications requirements of all nodes Mesh Star Ring Hybrid Transmission Media Technical and economics factors as well as the management criterion determine the medium to employ: Satellite Terrestrial Mix Satellite Technologies Satellite Technologies Access a) By the domain: FDMA (Frequency Division Multiple Access) TDMA (Time Division Multiple Access) CDMA (Code Division Multiple Access/SS) b) By the assignment: PAMA (Permanent Assignment Multiple Access) DAMA (Demand Assignment Multiple Access) Satellite Technologies Access Satellite Technologies Access Based on the mentioned access types, a combined scheme can be obtained such as FDMA-TDMA/DAMA which is used in the REDDIG network. FDMA or MF, because several carriers are employed and each of them at a different frequency TDMA, because each carrier has ‘slots’ which are accessed in the time domain DAMA or BoD, because each ‘slot’ is assigned on demand. PAMA also can be used. Satellite Technologies Access According to the outbound and inbound of data, access scheme to satellite also can be defined as: TDM / TDMA Outbound: time division multiplexing towards all nodes Inbound: random or fixed multiple access of some nodes TDMA / TDMA In both directions, outbound and inbound, the access is multiple to/from any node Satellite Technologies Modulation Techniques The main function of modulation is transforming the ‘information’ -
Maximum Data Rate Determination of a Telephone Transmission Channel Dr
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by International Journal of Science Engineering and Advance Technology (IJSEAT) ISSN 2321-6905 International Journal of Science Engineering and Advance Technology, IJSEAT, Vol 1, Issue 6, November - 2013 Maximum Data Rate Determination of a Telephone Transmission Channel Dr. Venkata Raghavendra Miriampally, Professor, Department of Electrical Engineering, Adama Science & Technology University, Ethiopia [email protected], Abstract: of noise, the receiver consists of a filter which filters The transmission channel is a medium that transfers the noise and a limit exists for the data rate through the information from the source to the destination. So any channels are mainly restricting the factors such many forms of media are available; some of them are as bandwidth and the noise of the channel. pair of wires, a coaxial cable, a radio path, or an optical fiber. Every channel presents some amount of II. Symbol Rate (Baud Rate) and attenuation or loss, so, the transmitted power Bandwidth decreases progressively with increasing distance. Communication requires a sufficient transmission Information signal is also distorted in the channel bandwidth to accommodate the signal spectrum; because of different attenuations at different otherwise, severe distortion will result. For example, frequencies. Signals usually contain components at a bandwidth of several megahertz is needed for an many frequencies and if some are attenuated and analog television video signal, whereas the much some are not, the shape of the signal changes. This slower variations of a telephone speech signal fit into change is known as distortion. Note that a a 4-kHz frequency band.