Digital Domain Power Division Multiplexed Dual Polarization
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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 -
3 Characterization of Communication Signals and Systems
63 3 Characterization of Communication Signals and Systems 3.1 Representation of Bandpass Signals and Systems Narrowband communication signals are often transmitted using some type of carrier modulation. The resulting transmit signal s(t) has passband character, i.e., the bandwidth B of its spectrum S(f) = s(t) is much smaller F{ } than the carrier frequency fc. S(f) B f f f − c c We are interested in a representation for s(t) that is independent of the carrier frequency fc. This will lead us to the so–called equiv- alent (complex) baseband representation of signals and systems. Schober: Signal Detection and Estimation 64 3.1.1 Equivalent Complex Baseband Representation of Band- pass Signals Given: Real–valued bandpass signal s(t) with spectrum S(f) = s(t) F{ } Analytic Signal s+(t) In our quest to find the equivalent baseband representation of s(t), we first suppress all negative frequencies in S(f), since S(f) = S( f) is valid. − The spectrum S+(f) of the resulting so–called analytic signal s+(t) is defined as S (f) = s (t) =2 u(f)S(f), + F{ + } where u(f) is the unit step function 0, f < 0 u(f) = 1/2, f =0 . 1, f > 0 u(f) 1 1/2 f Schober: Signal Detection and Estimation 65 The analytic signal can be expressed as 1 s+(t) = − S+(f) F 1{ } = − 2 u(f)S(f) F 1{ } 1 = − 2 u(f) − S(f) F { } ∗ F { } 1 The inverse Fourier transform of − 2 u(f) is given by F { } 1 j − 2 u(f) = δ(t) + . -
Optimal Multiplexed Hierarchical Modulation for Unequal Error Protection of Progressive Bit Streams
UC San Diego UC San Diego Previously Published Works Title Optimal Multiplexed Hierarchical Modulation for Unequal Error Protection of Progressive Bit Streams Permalink https://escholarship.org/uc/item/9gc392b0 Authors Chang, S.-H. Rim, M Cosman, P C et al. Publication Date 2009-11-01 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Optimal Multiplexed Hierarchical Modulation for Unequal Error Protection of Progressive Bit Streams Seok-Ho Chang†, Minjoong Rim‡, Pamela C. Cosman† and Laurence B. Milstein† †ECE Dept., University of California at San Diego, La Jolla, CA 92093, USA ‡ICE Dept., Dongguk University, Seoul, Korea Abstract—Progressive image and scalable video have gradual quality. Since these progressive transmissions have gradual differences of importance in their bitstreams, which can benefit differences of importance in their bitstreams, a large number from multiple levels of unequal error protection (UEP). Though of error protection levels are required. However, hierarchical hierarchical modulation has been intensively studied as an UEP approach for digital broadcasting and multimedia transmission, modulation can achieve only a limited number of UEP levels methods of achieving a large number of UEP levels have rarely for a given constellation size. For example, hierarchical 16 been studied. In this paper, we propose a multilevel UEP system QAM provides two levels of UEP, and hierarchical 64 QAM using multiplexed hierarchical quadrature amplitude modulation yields at most three levels [11]. In the DVB-T standard, video (QAM) for progressive transmission over mobile radio channels. data encoded by MPEG-2 consists of two different layers, We suggest a specific way of multiplexing, and prove that multiple levels of UEP are achieved by the suggested method. -
7.3.7 Video Cassette Recorders (VCR) 7.3.8 Video Disk Recorders
/7 7.3.5 Fiber-Optic Cables (FO) 7.3.6 Telephone Company Unes (TELCO) 7.3.7 Video Cassette Recorders (VCR) 7.3.8 Video Disk Recorders 7.4 Transmission Security 8. Consumer Equipment Issues 8.1 Complexity of Receivers 8.2 Receiver Input/Output Characteristics 8.2.1 RF Interface 8.2.2 Baseband Video Interface 8.2.3 Baseband Audio Interface 8.2.4 Interfacing with Ancillary Signals 8.2.5 Receiver Antenna Systems Requirements 8.3 Compatibility with Existing NTSC Consumer Equipment 8.3.1 RF Compatibility 8.3.2 Baseband Video Compatibility 8.3.3 Baseband Audio Compatibility 8.3.4 IDTV Receiver Compatibility 8.4 Allows Multi-Standard Display Devices 9. Other Considerations 9.1 Practicality of Near-Term Technological Implementation 9.2 Long-Term Viability/Rate of Obsolescence 9.3 Upgradability/Extendability 9.4 Studio/Plant Compatibility Section B: EXPLANATORY NOTES OF ATTRIBUTES/SYSTEMS MATRIX Items on the Attributes/System Matrix for which no explanatory note is provided were deemed to be self-explanatory. I. General Description (Proponent) section I shall be used by a system proponent to define the features of the system being proposed. The features shall be defined and organized under the headings ot the following subsections 1 through 4. section I. General Description (Proponent) shall consist of a description of the proponent system in narrative form, which covers all of the features and characteris tics of the system which the proponent wishe. to be included in the public record, and which will be used by various groups to analyze and understand the system proposed, and to compare with other propo.ed systems. -
192620010 Mobile & Wireless Networking Lecture 2: Wireless
192620010 Mobile & Wireless Networking Lecture 2: Wireless Transmission (2/2) [Schiller, Section 2.6 & 2.7] [Reader Part 1: OFDM: An architecture for the fourth generation] Geert Heijenk Mobile and Wireless Networking 2013 / 2014 Outline of Lecture 2 q Wireless Transmission (2/2) q Modulation q Spread Spectrum q Orthogonal Frequency Division Multiplexing (OFDM) 2 Mobile and Wireless Networking 2013 / 2014 Modulation Process of encoding information from a message source in a manner suitable for transmission Two major steps: 1. Digital modulation q digital data is translated into an analog signal (baseband) 2. Analog modulation q shifts center frequency of baseband signal up to the radio carrier q Motivation l smaller antennas (e.g., λ/4) l Frequency Division Multiplexing l medium characteristics 3 Mobile and Wireless Networking 2013 / 2014 Modulation and demodulation analog baseband digital signal data digital analog 101101001 modulation modulation radio transmitter radio carrier analog baseband digital signal analog synchronization data demodulation decision 101101001 radio receiver radio carrier 4 Mobile and Wireless Networking 2013 / 2014 Modulation q Carrier s(t) = At sin(2 π ft t + ϕt) q Basic analog modulation schemes schemes q Amplitude Modulation (AM) q Frequency Modulation (FM) q Phase Modulation (PM) q Digital modulation q ASK, FSK, PSK - main focus here q differences in spectral efficiency, power efficiency, robustness 5 Mobile and Wireless Networking 2013 / 2014 Digital modulation Modulation of digital signals known as Shift -
Baseband Harmonic Distortions in Single Sideband Transmitter and Receiver System
Baseband Harmonic Distortions in Single Sideband Transmitter and Receiver System Kang Hsia Abstract: Telecommunications industry has widely adopted single sideband (SSB or complex quadrature) transmitter and receiver system, and one popular implementation for SSB system is to achieve image rejection through quadrature component image cancellation. Typically, during the SSB system characterization, the baseband fundamental tone and also the harmonic distortion products are important parameters besides image and LO feedthrough leakage. To ensure accurate characterization, the actual frequency locations of the harmonic distortion products are critical. While system designers may be tempted to assume that the harmonic distortion products are simply up-converted in the same fashion as the baseband fundamental frequency component, the actual distortion products may have surprising results and show up on the different side of spectrum. This paper discusses the theory of SSB system and the actual location of the baseband harmonic distortion products. Introduction Communications engineers have utilized SSB transmitter and receiver system because it offers better bandwidth utilization than double sideband (DSB) transmitter system. The primary cause of bandwidth overhead for the double sideband system is due to the image component during the mixing process. Given data transmission bandwidth of B, the former requires minimum bandwidth of B whereas the latter requires minimum bandwidth of 2B. While the filtering of the image component is one type of SSB implementation, another type of SSB system is to create a quadrature component of the signal and ideally cancels out the image through phase cancellation. M(t) M(t) COS(2πFct) Baseband Message Signal (BB) Modulated Signal (RF) COS(2πFct) Local Oscillator (LO) Signal Figure 1. -
Baseband Video Testing with Digital Phosphor Oscilloscopes
Application Note Baseband Video Testing With Digital Phosphor Oscilloscopes Video signals are complex pose instrument that can pro- This application note demon- waveforms comprised of sig- vide accurate information – strates the use of a Tektronix nals representing a picture as quickly and easily. Finally, to TDS 700D-series Digital well as the timing informa- display all of the video wave- Phosphor Oscilloscope to tion needed to display the form details, a fast acquisi- make a variety of common picture. To capture and mea- tion technology teamed with baseband video measure- sure these complex signals, an intensity-graded display ments and examines some of you need powerful instru- give the confidence and the critical measurement ments tailored for this appli- insight needed to detect and issues. cation. But, because of the diagnose problems with the variety of video standards, signal. you also need a general-pur- Copyright © 1998 Tektronix, Inc. All rights reserved. Video Basics Video signals come from a for SMPTE systems, etc. The active portion of the video number of sources, including three derived component sig- signal. Finally, the synchro- cameras, scanners, and nals can then be distributed nization information is graphics terminals. Typically, for processing. added. Although complex, the baseband video signal Processing this composite signal is a sin- begins as three component gle signal that can be carried analog or digital signals rep- In the processing stage, video on a single coaxial cable. resenting the three primary component signals may be combined to form a single Component Video Signals. color elements – the Red, Component signals have an Green, and Blue (RGB) com- composite video signal (as in NTSC or PAL systems), advantage of simplicity in ponent signals. -
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. -
The Complex-Baseband Equivalent Channel Model
ECE-501 Phil Schniter February 4, 2008 replacements Complex-Baseband Equivalent Channel: Linear communication schemes (e.g., AM, QAM, VSB) can all be represented (using complex-baseband mod/demod) as: wideband modulation demodulation channel s(t) r(t) m˜ (t) Re h(t) + LPF v˜(t) × × j2πfct w(t) j2πfct ∼ e ∼ 2e− It turns out that this diagram can be greatly simplified. First, consider the signal path on its own: s(t) x(t) m˜ (t) Re h(t) LPF v˜s(t) × × j2πfct j2πfct ∼ e ∼ 2e− Since s(t) is a bandpass signal, we can replace the wideband channel response h(t) with its bandpass equivalent hbp(t): S(f) S(f) | | | | 2W f f ...because filtering H(f) Hbp(f) s(t) with h(t) is | | | | equivalent to 2W filtering s(t) f ⇔ f with hbp(t): X(f) S(f)H (f) | | | bp | f f 33 ECE-501 Phil Schniter February 4, 2008 Then, notice that j2πfct j2πfct s(t) h (t) 2e− = s(τ)h (t τ)dτ 2e− ∗ bp bp − · # ! " j2πfcτ j2πfc(t τ) = s(τ)2e− h (t τ)e− − dτ bp − # j2πfct j2πfct = s(t)2e− h (t)e− , ∗ bp which means we can rewrit!e the block di"agr!am as " s(t) j2πfct m˜ (t) Re hbp(t)e− LPF v˜s(t) × × j2πfct j2πfct ∼ e ∼ 2e− j2πfct We can now reverse the order of the LPF and hbp(t)e− (since both are LTI systems), giving s(t) j2πfct m˜ (t) Re LPF hbp(t)e− v˜s(t) × × j2πfct j2πfct ∼ e ∼ 2e− Since mod/demod is transparent (with synched oscillators), it can be removed, simplifying the block diagram to j2πfct m˜ (t) hbp(t)e− v˜s(t) 34 ECE-501 Phil Schniter February 4, 2008 Now, since m˜ (t) is bandlimited to W Hz, there is no need to j2πfct model the left component of Hbp(f + f ) = hbp(t)e− : c F{ } Hbp(f) Hbp(f + fc) H˜ (f) | | | | | | f f f fc fc 2fc 0 B 0 B − − − j2πfct Replacing hbp(t)e− with the complex-baseband response h˜(t) gives the “complex-baseband equivalent” signal path: m˜ (t) h˜(t) v˜s(t) The spectrums above show that h (t) = Re h˜(t) 2ej2πfct . -
IQ, Image Reject, & Single Sideband Mixer Primer
ICROWA M VE KI , R IN A C . M . S 1 H IQ, IMAGE REJECT 9 A 9 T T 1 E E R C I N N I G & single sideband S P S E R R E F I O R R R M A A B N E C Mixer Primer Input Isolated By: Doug Jorgesen introduction Double Sideband Available P Bandwidth Wireless communication and radar systems are under continuous pressure to reduce size, weight, and power while increasing dynamic range and bandwidth. The quest for higher performance in a smaller 1A) Double IF I R package motivates the use of IQ mixers: mixers that can simultaneously mix ‘in-phase’ and ‘quadrature’ Sided L P components (sometimes called complex mixers). System designers use IQ mixers to eliminate or relax the Upconversion ( ) ( ) f Filter Filtered requirements for filters, which are typically the largest and most expensive components in RF & microwave Sideband system designs. IQ mixers use phase manipulation to suppress signals instead of bulky, expensive filters. LO푎 푡@F푏LO1푡 FLO1 The goal of this application note is to introduce IQ, single sideband (SSB), and image reject (IR) mixers in both theory and practice. We will discuss basic applications, the concepts behind them, and practical Single Sideband considerations in their selection and use. While we will focus on passive diode mixers (of the type Marki Mixer I R sells), the concepts are generally applicable to all types of IQ mixers and modulators. P 0˚ L 1B) Single IF 0˚ P Sided Suppressed Upconversion I. What can an IQ mixer do for you? 90˚ Sideband ( ) ( ) f 90˚ We’ll start with a quick example of what a communication system looks like using a traditional mixer, a L I R F single sideband mixer (SSB), and an IQ mixer. -
Hierarchical Modulation Performance Analysis: Application to DVB-SH and DVB-S2
1 Generic Approach for Hierarchical Modulation Performance Analysis: Application to DVB-SH and DVB-S2 Hugo Meric´ ∗y,Jer´ omeˆ Lacany∗, Caroline Amiot-Bazilez, Fabrice Arnalx and Marie-Laure Boucherety∗ ∗TeSA,´ Toulouse, France yUniversite´ de Toulouse, Toulouse, France zCNES, Toulouse, France xThales Alenia Space, Toulouse, France Email: [email protected], [email protected], [email protected], [email protected], [email protected] Abstract Broadcasting systems have to deal with channel variability in order to offer the best rate to the users. Hierarchical modulation is a practical solution to provide different rates to the receivers in function of the channel quality. Unfortunately, the performance evaluation of such modulations requires time consuming simulations. We propose in this paper a novel approach based on the channel capacity to avoid these simulations. The method allows to study the performance of hierarchical and also classical modulations combined with error correcting codes. We will also compare hierarchical modulation with time sharing strategy in terms of achievable rates and indisponibility. Our work will be applied to the DVB-SH and DVB-S2 standards, which both consider hierarchical modulation as an optional feature. arXiv:1103.1742v1 [cs.IT] 9 Mar 2011 Index Terms Hierarchical Modulation, Channel Capacity, Digital Video Broadcasting, System Performance. I. INTRODUCTION In most broadcast applications, all the receivers do not experience the same signal-to-noise ratio (SNR). For instance, in satellite communications the channel quality decreases with the presence of clouds in Ku or Ka band, or with shadowing effects of the environment in lower bands. The material in this paper will be presented in part at WTS 2011, New-York, United States, April 2011. -
Difference Between Baseband and Broadband Pdf
Difference between baseband and broadband pdf Continue There are two transmission methods used with local district networks, depending on the type of signaling (digital or analogue) used for communication between the two nodes - basic and broadband. These are two modes of switching, defined over the means of transmission and different type of signals used for multiplex transmissions from multiplex transmissions to a single transmission. The base range is defined as a transmission format that uses digital signaling and uses a means of transmission as a single-channel device. Broadband is defined as a transmission format in which signals are modulated as radiofrequency (2) analog waves that use different frequency ranges. The decision to use a base range or broadband is determined by the app. The base range refers to a communication channel in which information is transmitted digitally and which uses a means of transmission as a single-channel device. This means that one channel is used to communicate with devices on the network, allowing computers to transmit and receive data on one cable. Only one station can be transmitted at a time, and all stations must transmit and receive the same types of signals. A two-direction connection means that the same channel is used to transmit and receive signals. Each device in the base system has the same channel. When one node transmits data across the base channel, all other nodes on the network must wait until the transmission ends before they can transmit the data. The only problem with baseband LANs is their limited capacity over a limited distance that is no more than a few miles.