Impact of Power Line Telecommunication Systems on Radiocommunication Systems Operating in the LF, MF, HF and VHF Bands Below 80 Mhz

Total Page:16

File Type:pdf, Size:1020Kb

Impact of Power Line Telecommunication Systems on Radiocommunication Systems Operating in the LF, MF, HF and VHF Bands Below 80 Mhz Report ITU-R SM.2158 (09/2009) Impact of power line telecommunication systems on radiocommunication systems operating in the LF, MF, HF and VHF bands below 80 MHz SM Series Spectrum management ii Rep. ITU-R SM.2158 Foreword The role of the Radiocommunication Sector is to ensure the rational, equitable, efficient and economical use of the radio-frequency spectrum by all radiocommunication services, including satellite services, and carry out studies without limit of frequency range on the basis of which Recommendations are adopted. The regulatory and policy functions of the Radiocommunication Sector are performed by World and Regional Radiocommunication Conferences and Radiocommunication Assemblies supported by Study Groups. Policy on Intellectual Property Right (IPR) ITU-R policy on IPR is described in the Common Patent Policy for ITU-T/ITU-R/ISO/IEC referenced in Annex 1 of Resolution ITU-R 1. Forms to be used for the submission of patent statements and licensing declarations by patent holders are available from http://www.itu.int/ITU-R/go/patents/en where the Guidelines for Implementation of the Common Patent Policy for ITU-T/ITU-R/ISO/IEC and the ITU-R patent information database can also be found. Series of ITU-R Reports (Also available online at http://www.itu.int/publ/R-REP/en) Series Title BO Satellite delivery BR Recording for production, archival and play-out; film for television BS Broadcasting service (sound) BT Broadcasting service (television) F Fixed service M Mobile, radiodetermination, amateur and related satellite services P Radiowave propagation RA Radio astronomy RS Remote sensing systems S Fixed-satellite service SA Space applications and meteorology SF Frequency sharing and coordination between fixed-satellite and fixed service systems SM Spectrum management Note: This ITU-R Report was approved in English by the Study Group under the procedure detailed in Resolution ITU-R 1. Electronic Publication Geneva, 2010 © ITU 2010 All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without written permission of ITU. Rep. ITU-R SM.2158 1 REPORT ITU-R SM.2158 Impact of power line telecommunication systems on radiocommunication systems operating in the LF, MF, HF and VHF bands below 80 MHz*, **, *** (Question ITU-R 221/1) (2009) TABLE OF CONTENTS Page 1 Introduction .................................................................................................................... 9 1.1 Data communication over electrical power lines................................................ 9 2 Characteristics of radio frequency emission from PLT Systems ................................... 10 2.1 Radiation sources in a PLT system..................................................................... 10 2.1.1 Differential-mode and common-mode currents................................... 10 2.1.2 Generation of the common-mode PLT current .................................... 11 2.1.3 Common-mode current launched at the PLT modem output port ....... 11 2.1.3.1 Electrical characteristics of in-house power lines as seen from an outlet..................................................................... 13 2.1.3.2 Impedances of in-house power lines measured at an outlet .................................................................................. 13 2.1.3.3 Imbalance of in-house power lines measured at an outlet. 14 2.1.4 Converted common-mode current ....................................................... 15 2.1.4.1 Converted common-mode current generated at the remote unbalanced element4 .............................................. 15 2.1.4.2 Folded-dipole antenna effect of the switch branch............ 17 2.1.4.3 Mode conversion at the switch branch .............................. 18 2.1.5 Leakage from the in-house power line to the service wires outside the house...................................................... 20 2.1.5.1 Optimistic data................................................................... 20 2.1.5.2 Pessimistic data.................................................................. 21 2.1.6 Shielding effectiveness of the exterior walls of a house...................... 22 * The Administration of Japan reserves its position on this Report, pending further contributions on specific issues to be submitted at the next meeting(s) of Working Party 1A. ** The Administration of Syrian Arab Republic reserves its position on this Report. *** See also Report ITU-R SM.2157. 2 Rep. ITU-R SM.2158 Page 3 Radio system characteristics, protection criteria, and impact of PLT systems on radiocommunication systems ......................................................................................... 22 3.1 Broadcasting ....................................................................................................... 22 3.1.1 General characteristics of analogue LF, MF and HF broadcasting...... 22 3.1.1.1 Bandwidth.......................................................................... 22 3.1.1.2 Receiver noise.................................................................... 22 3.1.1.3 Minimum usable field strength.......................................... 23 3.1.1.4 Protection ratios................................................................. 23 3.1.2 General characteristics of DRM digital LF, MF and HF broadcasting 24 3.1.2.1 DRM robustness modes..................................................... 24 3.1.2.2 Spectrum occupancy types ................................................ 24 3.1.2.3 Modulation and protection levels ...................................... 25 3.1.2.4 Receiver noise.................................................................... 25 3.1.2.5 Minimum usable field strength.......................................... 25 3.1.2.6 Required signal-to-noise ratios for DRM reception .......... 26 3.1.3 LF, MF, HF and VHF radio broadcasting frequency ranges ............... 27 3.1.4 Protection criteria and acceptable interference .................................... 27 3.1.4.1 Recommendation ITU-R BS.1786 and ITU-R BT.1786 – Criterion to assess the impact of interference to the terrestrial broadcasting service .......................................... 28 3.1.4.2 Recommendation ITU-R BS.560-4 – Radio-frequency protection ratios in LF, MF, and HF broadcasting ............ 28 3.1.4.3 Recommendation ITU-R BS.703 – Characteristics of AM sound broadcasting reference receivers for planning purposes............................................................................. 28 3.1.4.4 Report ITU-R BS.1058 – Minimum AF and RF signal- to-noise ratio required for broadcasting in band 7 (HF).... 28 3.1.4.5 Annex 2 to Recommendation ITU-R BS.1615 – Planning parameters for digital sound broadcasting at frequencies below 30 MHz – RF protection ratios for DSB (DRM system) at frequencies below 30 MHz .......... 28 3.1.4.6 Derivation of acceptable range of field strength incident from the wired telecommunication systems ...................... 29 3.1.4.7 Receiver noise level and acceptable interference level ..... 29 3.1.4.8 Equivalent field strength of receiver noise ........................ 30 3.1.4.9 External noise.................................................................... 31 3.1.4.10 Permissible interference field strength .............................. 31 3.1.4.11 Protection criteria for the broadcast service ...................... 32 Rep. ITU-R SM.2158 3 Page 3.2 Amateur and amateur satellite ............................................................................ 34 3.2.1 General characteristics......................................................................... 34 3.2.1.1 Operational characteristics................................................ 34 3.2.2 Amateur frequency allocations ............................................................ 35 3.2.3 The protection requirements of the HF amateur radio service............. 35 3.2.3.1 Fade margin and the 0.5 dB protection criterion of HF amateur radio ..................................................................... 35 3.2.3.2 The noise floor in amateur radio bands ............................. 36 3.2.3.3 Acceptable noise floor levels............................................. 36 3.3 Aeronautical mobile and Radionavigation ......................................................... 37 3.4 General protection criteria considerations HF fixed and land mobile................ 39 3.4.1 Protection criteria and protection requirement..................................... 39 3.4.1.1 Protection criteria.............................................................. 39 3.4.1.2 Protection requirement ...................................................... 40 3.4.2 A possible protection criteria ............................................................... 40 3.4.3 Automatic link establishment systems................................................. 40 3.5 Maritime mobile................................................................................................. 40 3.5.1 Background .......................................................................................... 40 3.5.2 Frequencies allocated for maritime communications .......................... 41 3.5.3 Receiver parameters for the maritime mobile service in MF and HF bands .................................................................................................... 43 3.6 Radiolocation...................................................................................................... 44 3.7 Fixed ..................................................................................................................
Recommended publications
  • Spectrum Management Technical Handbook
    NTIA TN 89-2 SPECTRUM MANAGEMENT TECHNICAL HANDBOOK TECHNICAL NOTE SERIES NTIA TECHNICAL NOTE 89-2 SPECTRUM MANAGEMENT TECHNICAL HANDBOOK l U.S. DEPARTMENT OF COMMERCE Robert A. Mosbacher, Secretary Alfred C. Sikes, Assistant Secretary for Communications and Information JULY 1989 ACKNOWLEDGEMENT NT IA acknowledges the efforts of Mark Schellhammer in the completion of Phase I of this handbook (Sections 1-3). Other portions will be added as resources are available. ABSTRACT This handbook is a compilation of the procedures, definitions, relationships and conversions essential to electromagnetic compatibility analysis. It is intended as a reference for NTIA engineers. KEY WORDS CONVERSION FACTORS COUPLING EQUATIONS DEFINITIONS ·TECHNICAL RELATIONSHIPS iii TABLE OF CONTENTS Subsection Page SECTION 1 TECHNICAL TERMS:DEFINITIONS AND NOTATION TERMS AND DEFINITIONS . .. .. 1-1 GLOSSARY OF STANDARD NOTATION . .. 1-13 SECTION 2 TECHNICAL RELATIONSHIPS AND CONVERSION FACTORS INTRODUCTION . .. .. .. 2-1 TRANSMISSION LOSS FOR RADIO LINKS . �. .. .. 2-1 Propagation Loss . .. .. .. 2-1 Transmission Loss ........................................ 2-2 Free-Space Basic Transmission Loss .......................... 2-2 Basic Transmission Loss .................................... 2-2 Loss Relative to Free-Space .................................. 2-2 System Loss . .. 2-3 ; Total Loss . .. .. 2-3 ANTENNA CHARACTERISTICS . .. 2-3 Antenna Directivity ........................................ 2-3 Antenna Gain and Efficiency .................................. 2-3 I
    [Show full text]
  • Waveos User Guide
    WAVEOS USER GUIDE DTUS070 rev A.5 – December, 2016 Page 2 / 273 COPYRIGHT (©) ACKSYS 2016-2017 This document contains information protected by Copyright. The present document may not be wholly or partially reproduced, transcribed, stored in any computer or other system whatsoever, or translated into any language or computer language whatsoever without prior written consent from ACKSYS Communications & Systems - ZA Val Joyeux – 10, rue des Entrepreneurs - 78450 VILLEPREUX - FRANCE. REGISTERED TRADEMARKS ® Ø ACKSYS is a registered trademark of ACKSYS. Ø Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. Ø CISCO is a registered trademark of the CISCO company. Ø Windows is a registered trademark of MICROSOFT. Ø WireShark is a registered trademark of the Wireshark Foundation. Ø HP OpenView® is a registered trademark of Hewlett-Packard Development Company, L.P. Ø VideoLAN, VLC, VLC media player are internationally registered trademark of the French non-profit organization VideoLAN. DISCLAIMERS ACKSYS ® gives no guarantee as to the content of the present document and takes no responsibility for the profitability or the suitability of the equipment for the requirements of the user. ACKSYS ® will in no case be held responsible for any errors that may be contained in this document, nor for any damage, no matter how substantial, occasioned by the provision, operation or use of the equipment. ACKSYS ® reserves the right to revise this document periodically or change its contents without notice. DTUS070 rev A.5 – December, 2016 Page 3 / 273 REGULATORY INFORMATION AND DISCLAIMERS Installation and use of this Wireless LAN device must be in strict accordance with local regulation laws and with the instructions included in the user documentation provided with the product.
    [Show full text]
  • A Novel Ship Target Detection Algorithm Based on Error Self-Adjustment Extreme Learning Machine and Cascade Classifier
    Cognitive Computation (2019) 11:110–124 https://doi.org/10.1007/s12559-018-9606-5 A Novel Ship Target Detection Algorithm Based on Error Self-adjustment Extreme Learning Machine and Cascade Classifier Wandong Zhang1,2 · Qingzhong Li1 · Q. M. Jonathan Wu2 · Yimin Yang3 · Ming Li1 Received: 30 June 2018 / Accepted: 10 October 2018 / Published online: 24 October 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract High-frequency surface wave radar (HFSWR) has a vital civilian and military significance for ship target detection and tracking because of its wide visual field and large sea area coverage. However, most of the existing ship target detection methods of HFSWR face two main difficulties: (1) the received radar signals are strongly polluted by clutter and noises, and (2) it is difficult to detect ship targets in real-time due to high computational complexity. This paper presents a ship target detection algorithm to overcome the problems above by using a two-stage cascade classification structure. Firstly, to quickly obtain the target candidate regions, a simple gray-scale feature and a linear classifier were applied. Then, a new error self-adjustment extreme learning machine (ES-ELM) with Haar-like input features was adopted to further identify the target precisely in each candidate region. The proposed ES-ELM includes two parts: initialization part and updating part. In the former stage, the L1 regularizer process is adopted to find the sparse solution of output weights, to prune the useless neural nodes and to obtain the optimal number of hidden neurons. Also, to ensure an excellent generalization performance by the network, in the latter stage, the parameters of hidden layer are updated through several iterations using L2 regularizer process with pulled back error matrix.
    [Show full text]
  • Transmitter T (X) Channel E (X) Receiver R
    Analog Communication ( 10EC53 ) Introduction The function of the communication system is to make available at the destination a signal originating at a distant point. This signal is called the desired signal. Unfortunately, during the passage of the signal through the channel and front-end of the receiver, this desired signal gets corrupted by a number of undesired signals. This is referred to as Noise. Noise is any unknown or unwanted signal. Noise is the static you hear in the speaker when you tune any AM or FM receiver to any position between stations. It is also the snow or confetti that is visible on a TV screen. The received signal is modeled as r (t) = s (t) + n (t) Where s (t) is the transmitted/desired signal n (t) is the additive noise/unwanted signal The signal n (t) gets added at the channel. It disturbs the transmission and processing of signal in Communication System. Over which one cannot have a control. In general term it is an unwanted signal that affects a wanted signal. It is a random signal that cannot be represented with a simple equation. But some time can be deterministic components (power supply hum, certain oscillations).Deterministic Components can be eliminated by proper shielding and introduction of notch filters. If their were no noise perfect communication would be possible with minimum transmitted power. At the receiver only amplification of the signal power to the desired level is required. If R (x)=T (x) then e (x)=0 Transmitter Receiver T (x) R (x) If R (x) ≠ T (x) then e (x) ≠ 0.The received signal is corrupted.
    [Show full text]
  • Demodulation, Bit-Error Probability and Diversity Arrangements
    RADIO SYSTEMS – ETIN15 Lecture no: 6 Demodulation, bit-error probability and diversity arrangements Anders J Johansson, Department of Electrical and Information Technology [email protected] 5 April 2017 1 Contents • Receiver noise calculations [Covered briefly in Chapter 3 of textbook!] • Optimal receiver and bit error probability – Principle of maximum-likelihood receiver – Error probabilities in non-fading channels – Error probabilities in fading channels • Diversity arrangements – The diversity principle – Types of diversity – Spatial (antenna) diversity performance 5 April 2017 2 RECEIVER NOISE 5 April 2017 3 Receiver noise Noise sources The noise situation in a receiver depends on several noise sources Noise picked up Wanted by the antenna signal Output signal Analog Detector with requirement circuits on quality Thermal noise 5 April 2017 4 Receiver noise Equivalent noise source To simplify the situation, we replace all noise sources with a single equivalent noise source. Wanted How do we determine Noise free signal N from the other sources? N Output signal C Analog Detector with requirement circuits on quality Noise free Same “input quality”, signal-to-noise ratio, C/N in the whole chain. 5 April 2017 5 Receiver noise Examples • Thermal noise is caused by random movements of electrons in circuits. It is assumed to be Gaussian and the power is proportional to the temperature of the material, in Kelvin. • Atmospheric noise is caused by electrical activity in the atmosphere, e.g. lightning. This noise is impulsive in its nature and below 20 MHz it is a dominating. • Cosmic noise is caused by radiation from space and the sun is a major contributor.
    [Show full text]
  • Signal to Noise Ratio (SNR Or S/N) SNR Is the Ratio of the Signal Power to Noise Power
    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 7, 01-06-2020 Presentation Outline Noise: • Noise and its types • Thermal Noise • Parameters of Noise • Noise in Baseband Communication systems • Gaussian process and NB Noise • Problems 02-06-2020 Prof.Ch.Srinivasa Rao, JNTUK UCEV 2 Learning Outcomes • At the end of this Session, Student will be able to: • LO 1 : Fundamental aspects of Noise • LO 2 : Different Noise types and its Paraneters • LO 3 : Gaussian Process and ND Noise 02-06-2020 Prof.Ch.Srinivasa Rao, JNTUK UCEV 3 Noise Definitions of Noise: • Noise is unwanted signal that affects wanted signal. • Noise can broadly be defined as any unknown signal that affects the recovery of the desired signal. • Noise is an unwanted signal, which interferes with the original message signal and corrupts the parameters of the message signal. This alteration in the communication process, leads to the message getting altered. It most likely enters at the channel or the receiver. Effect of noise • Degrades system performance (Analog and digital) • Receiver cannot distinguish signal from noise • Efficiency of communication system reduces Most common examples of noise are: • Hiss sound in radio receivers • Buzz sound amidst of telephone conversations • Flicker in television receivers, Noise Sources External Internal Noise Noise Atmospheric Industrial Extraterrestrial Solar Noise Cosmic Noise External Noise : • It is due to Man- made and natural resources • Sources over which we have no control such as thunders, snow fall, lightning etc.
    [Show full text]
  • High Frequency (HF)
    Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 1990-06 High Frequency (HF) radio signal amplitude characteristics, HF receiver site performance criteria, and expanding the dynamic range of HF digital new energy receivers by strong signal elimination Lott, Gus K., Jr. Monterey, California: Naval Postgraduate School http://hdl.handle.net/10945/34806 NPS62-90-006 NAVAL POSTGRADUATE SCHOOL Monterey, ,California DISSERTATION HIGH FREQUENCY (HF) RADIO SIGNAL AMPLITUDE CHARACTERISTICS, HF RECEIVER SITE PERFORMANCE CRITERIA, and EXPANDING THE DYNAMIC RANGE OF HF DIGITAL NEW ENERGY RECEIVERS BY STRONG SIGNAL ELIMINATION by Gus K. lott, Jr. June 1990 Dissertation Supervisor: Stephen Jauregui !)1!tmlmtmOlt tlMm!rJ to tJ.s. eave"ilIE'il Jlcg6iielw olil, 10 piolecl ailicallecl",olog't dU'ie 18S8. Btl,s, refttteste fer litis dOCdiii6i,1 i'lust be ,ele"ed to Sapeihil6iiddiil, 80de «Me, "aial Postg;aduulG Sclleel, MOli'CIG" S,e, 98918 &988 SF 8o'iUiid'ids" PM::; 'zt6lI44,Spawd"d t4aoal \\'&u 'al a a,Sloi,1S eai"i,al'~. 'Nsslal.;gtePl. Be 29S&B &198 .isthe 9aleMBe leclu,sicaf ,.,FO'iciaKe" 6alite., ea,.idiO'. Statio", AlexB •• d.is, VA. !!!eN 8'4!. ,;M.41148 'fl'is dUcO,.Mill W'ilai.,s aliilical data wlrose expo,l is idst,icted by tli6 Arlil! Eurse" SSPItial "at FRIis ee, 1:I.9.e. gec. ii'S1 sl. seq.) 01 tlls Exr;01l ftle!lIi"isllatioli Act 0' 19i'9, as 1tI'I'I0"e!ee!, "Filill ell, W.S.€'I ,0,,,,, 1i!4Q1, III: IIlIiI. 'o'iolatioils of ltrese expo,lla;;s ale subject to 960616 an.iudl pSiiaities.
    [Show full text]
  • CALIFORNIA STATE UNIVERSITY, NORTHRIDGE SPACE COMMUNICATION THEORY and PRACTICE a Graduate Project Submitted in Partial Satisfac
    CALIFORNIA STATE UNIVERSITY, NORTHRIDGE SPACE COMMUNICATION THEORY AND PRACTICE A graduate project submitted in partial satisfaction of the requirements for the degree of the Masterr of Science 1n Engineering by Kristine Patricia Maine January, 1983 The project of Kristine Patricia Maine is approved: CDr. Ste~en A. Gad~ski) (Dr. ~y H. Pettit, Chair) California State University, Northridge ii ACKNOWLEDGEMENTS A deep sense of gratitude is expressed to my academic advisor, Dr. Ray Pettit, for his invaluable counsel and advisement during the course of this study. In addition, I express thanks to The Aerospace Corporation for the use of their facilities and personnel for the completion of this document. iii TABLE OF CONTENTS Title Page Acknowledgement iii Table of Figures v List of Tables vii List of Symbols viii Abstract xi I. Introduction 1 II. Space Communication System Components 2 III. Theory of Link Analysis 8 IV. Applications of Link Analysis 21 v. Summary 41 Appendix A--Signal Losses 45 Appendix B--Space Shuttle Design Model 54 Appendix C--Communication Satellite Systems 62 Footnotes 67 Bi biliography 70 iv TABLE OF FIGURES Figure Number Title 1 Simplified Transponder Block Diagram 3 Showing a Single Channel Transponder 2 TWT Characteristics 4 3 Typical Antenna Beamwidth Pattern 7 4 Satellite Communication System 9 5 Uplink Model 10 6 Downlink Model 13 7 Satellite Communication Transmitter­ 16 to-Receiver with Typical Loss and Noise Sources 8 Zenith Attenuation Values Expected to 18 be Exceeded 2% of the Year at Mid­ latitudes 9 Probability
    [Show full text]
  • Regulation on Collective Frequencies for Licence-Exempt Radio Transmitters and on Their Use
    FICORA 15 AIH/2015 M 1 (22) Unofficial translation Regulation on collective frequencies for licence-exempt radio transmitters and on their use Issued in Helsinki on 6 February 2015 The Finnish Communications Regulatory Authority (FICORA) has, under section 39(3 and 4) of the Information Society Code of 7 November 2014 (917/2014), laid down: Chapter 1 General provisions Section 1 The oObjective of the Regulation This Regulation lays down provisions on collective frequencies for as well as use and registration of such radio transmitters whose conformity with requirements has been attested in such a way as laid down in the Information Society Code, and for the possession and use of which a radio licence is not required. Section 2 Scope of application This Regulation applies to the following radio transmitters which operate only on the collective frequencies assigned in this Regulation and whose conformity with requirements has been attested in such a way as mentioned in section 257 or section 352 of the Information Society Code: 1) cordless CT1 telephones taken into use on 31 December 2003 at the latest, cordless CT2 telephones taken into use on 31 December 2004 at the latest, and DECT equipment; 2) mobile terminals and other terminals for GSM, UMTS, digital broadband mobile networks and terrestrial systems capable of providing electronic communications services; 3) LA telephones (national Citizen Band equipment) which have been approved according to the regulations of 25 March 1981 by the General Directorate of Posts and Telecommunications
    [Show full text]
  • Understanding Noise Figure
    Understanding Noise Figure Iulian Rosu, YO3DAC / VA3IUL, http://www.qsl.net/va3iul One of the most frequently discussed forms of noise is known as Thermal Noise. Thermal noise is a random fluctuation in voltage caused by the random motion of charge carriers in any conducting medium at a temperature above absolute zero (K=273 + °Celsius). This cannot exist at absolute zero because charge carriers cannot move at absolute zero. As the name implies, the amount of the thermal noise is to imagine a simple resistor at a temperature above absolute zero. If we use a very sensitive oscilloscope probe across the resistor, we can see a very small AC noise being generated by the resistor. • The RMS voltage is proportional to the temperature of the resistor and how resistive it is. Larger resistances and higher temperatures generate more noise. The formula to find the RMS thermal noise voltage Vn of a resistor in a specified bandwidth is given by Nyquist equation: Vn = 4kTRB where: k = Boltzmann constant (1.38 x 10-23 Joules/Kelvin) T = Temperature in Kelvin (K= 273+°Celsius) (Kelvin is not referred to or typeset as a degree) R = Resistance in Ohms B = Bandwidth in Hz in which the noise is observed (RMS voltage measured across the resistor is also function of the bandwidth in which the measurement is made). As an example, a 100 kΩ resistor in 1MHz bandwidth will add noise to the circuit as follows: -23 3 6 ½ Vn = (4*1.38*10 *300*100*10 *1*10 ) = 40.7 μV RMS • Low impedances are desirable in low noise circuits.
    [Show full text]
  • Dr. Dharmendra Kumar Assistant Professor Department of Electronics and Communication Engineering MMM University of Technology, Gorakhpur–273010
    Dr. Dharmendra Kumar Assistant Professor Department of Electronics and Communication Engineering MMM University of Technology, Gorakhpur–273010. Content of Unit-3 Noise: Source of Noise, Frequency domain, Representation of noise, Linear Filtering of noise, Noise in Amplitude modulation system, Noise in SSB-SC,DSB and DSB-C, Noise Ratio, Noise Comparison of FM and AM, Pre- emphasis and De-emphasis, Figure of Merit. Claude E. Shannon conceptualized the communication theory model in the late 1940s. It remains central to communication study today. Noise is random signal that exists in communication systems Channel is the main source of noise in communication systems Transmitter or Receiver may also induce noise in the system There are mainly 2-types of noise sources Internal noise source (are mainly internal to the communication system) External noise source Noise is an inconvenient feature which affects the system performance. Following are the effects of noise Degrade system performance for both analog and digital systems Noise limits the operating range of the systems Noise indirectly places a limit on the weakest signal that can be amplified by an amplifier. The oscillator in the mixer circuit may limit its frequency because of noise. A system’s operation depends on the operation of its circuits. Noise limits the smallest signal that a receiver is capable of processing The receiver can not understand the sender the receiver can not function as it should be. Noise affects the sensitivity of receivers: Sensitivity is the minimum amount of input signal necessary to obtain the specified quality output. Noise affects the sensitivity of a receiver system, which eventually affects the output.
    [Show full text]
  • Improve Your Home Wi-Fi Network for Work & Family
    Improve Your Home Wi-Fi Network For Work & Family A HOW-TO GUIDE FROM PATIENTSAFE SOLUTIONS AND CLINICAL MOBILITY Table of Contents Introduction 3 Terminology Used in This Guide 4 Your Home Network 5 How Much Bandwidth Do You Need? 6 How Much Bandwidth Do You Have? 7 Step 1. Prepare to Test Your ISP Bandwidth 7 Step 2: Test Your ISP Bandwidth 7 Step 3: Reading Your Speed Test Results 8 Tips for Managing Bandwidth Usage 8 About Wi-Fi Coverage 9 Test Your Wi-Fi Coverage (RSSI) 9 Apple iOS: Apple Airport Utility App 9 Built-in Mac utility 10 Android: Farproc Wi-Fi Analyzer 11 Windows: Wi-Fi Analyzer by Matt Hafner 11 How to Improve your Wi-Fi Coverage 11 Centrally Locate Your Wi-Fi Router 12 Install a Mesh Network System 13 Mesh Network System Tips 13 Document Your Bandwidth and Wi-Fi Coverage Results 14 Advanced Tips for Fine Tuning Your Wi-Fi Coverage 15 Improve your Home Wi-Fi Network for Work and Family© | A How-To Guide from PatientSafe Solutions and Clinical Mobility 2 Introduction Demands on our home Wi-Fi networks have drastically increased during the COVID-19 pandemic. Our in-home networks are now our lifeline to work, education, and socializing. Small problems we may have experienced in the past, and tolerated, are exacerbated by higher utilization and now need to be addressed. Poor Wi-Fi performance causes choppy video conferencing and intermittent connectivity drops, among other nuisances, negatively impacting your work and your family’s online learning effectiveness. As Wi-Fi professionals, the authors of this Guide have experienced an influx of personal requests for help improving home Wi-Fi network performance and reliability.
    [Show full text]