TEST PROCEDURES HANDBOOK for SURVEILLANCE RECEIVERS BELOW 100 Mhz
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EN 300 676 V1.2.1 (1999-12) European Standard (Telecommunications Series)
Draft ETSI EN 300 676 V1.2.1 (1999-12) European Standard (Telecommunications series) Electromagnetic compatibility and Radio spectrum Matters (ERM); Ground-based VHF hand-held, mobile and fixed radio transmitters, receivers and transceivers for the VHF aeronautical mobile service using amplitude modulation; Technical characteristics and methods of measurement 2 Draft ETSI EN 300 676 V1.2.1 (1999-12) Reference REN/ERM-RP05-014 Keywords Aeronautical, AM, DSB, radio, testing, VHF ETSI Postal address F-06921 Sophia Antipolis Cedex - FRANCE Office address 650 Route des Lucioles - Sophia Antipolis Valbonne - FRANCE Tel.:+33492944200 Fax:+33493654716 Siret N° 348 623 562 00017 - NAF 742 C Association à but non lucratif enregistrée à la Sous-Préfecture de Grasse (06) N° 7803/88 Internet [email protected] Individual copies of this ETSI deliverable can be downloaded from http://www.etsi.org If you find errors in the present document, send your comment to: [email protected] Important notice This ETSI deliverable may be made available in more than one electronic version or in print. In any case of existing or perceived difference in contents between such versions, the reference version is the Portable Document Format (PDF). In case of dispute, the reference shall be the printing on ETSI printers of the PDF version kept on a specific network drive within ETSI Secretariat. Copyright Notification No part may be reproduced except as authorized by written permission. The copyright and the foregoing restriction extend to reproduction in all media. © European -
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. -
Pink Noise Generator
PINK NOISE GENERATOR K4301 Add a spectrum analyser with a microphone and check your audio system performance. H4301IP-1 VELLEMAN NV Legen Heirweg 33 9890 Gavere Belgium Europe www.velleman.be www.velleman-kit.com Features & Specifications To analyse the acoustic properties of a room (usually a living- room), a good pink noise generator together with a spectrum analyser is indispensable. Moreover you need a microphone with as linear a frequency characteristic as possible (from 20 to 20000Hz.). If, in addition, you dispose of an equaliser, then you can not only check but also correct reproduction. Features: Random digital noise. 33 bit shift register. Clock frequency adjustable between 30KHz and 100KHz. Pink noise filter: -3 dB per octave (20 .. 20000Hz.). Easily adaptable to produce "white noise". Specifications: Output voltage: 150mV RMS./ clock frequency 40KHz. Output impedance: 1K ohm. Power supply: 9 to 12VAC, or 12 to 15VDC / 5mA. 3 Assembly hints 1. Assembly (Skipping this can lead to troubles ! ) Ok, so we have your attention. These hints will help you to make this project successful. Read them carefully. 1.1 Make sure you have the right tools: A good quality soldering iron (25-40W) with a small tip. Wipe it often on a wet sponge or cloth, to keep it clean; then apply solder to the tip, to give it a wet look. This is called ‘thinning’ and will protect the tip, and enables you to make good connections. When solder rolls off the tip, it needs cleaning. Thin raisin-core solder. Do not use any flux or grease. A diagonal cutter to trim excess wires. -
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. -
Generating Realistic City Boundaries Using Two-Dimensional Perlin Noise
Generating realistic city boundaries using two-dimensional Perlin noise Graduation thesis for the Doctoraal program, Computer Science Steven Wijgerse student number 9706496 February 12, 2007 Graduation Committee dr. J. Zwiers dr. M. Poel prof.dr.ir. A. Nijholt ir. F. Kuijper (TNO Defence, Security and Safety) University of Twente Cluster: Human Media Interaction (HMI) Department of Electrical Engineering, Mathematics and Computer Science (EEMCS) Generating realistic city boundaries using two-dimensional Perlin noise Graduation thesis for the Doctoraal program, Computer Science by Steven Wijgerse, student number 9706496 February 12, 2007 Graduation Committee dr. J. Zwiers dr. M. Poel prof.dr.ir. A. Nijholt ir. F. Kuijper (TNO Defence, Security and Safety) University of Twente Cluster: Human Media Interaction (HMI) Department of Electrical Engineering, Mathematics and Computer Science (EEMCS) Abstract Currently, during the creation of a simulator that uses Virtual Reality, 3D content creation is by far the most time consuming step, of which a large part is done by hand. This is no different for the creation of virtual urban environments. In order to speed up this process, city generation systems are used. At re-lion, an overall design was specified in order to implement such a system, of which the first step is to automatically create realistic city boundaries. Within the scope of a research project for the University of Twente, an algorithm is proposed for this first step. This algorithm makes use of two-dimensional Perlin noise to fill a grid with random values. After applying a transformation function, to ensure a minimum amount of clustering, and a threshold mech- anism to the grid, the hull of the resulting shape is converted to a vector representation. -
Noisecom UFX-Ebno Datasheet (Pdf)
Full-service, independent repair center -~ ARTISAN® with experienced engineers and technicians on staff. TECHNOLOGY GROUP ~I We buy your excess, underutilized, and idle equipment along with credit for buybacks and trade-ins. Custom engineering Your definitive source so your equipment works exactly as you specify. for quality pre-owned • Critical and expedited services • Leasing / Rentals/ Demos equipment. • In stock/ Ready-to-ship • !TAR-certified secure asset solutions Expert team I Trust guarantee I 100% satisfaction Artisan Technology Group (217) 352-9330 | [email protected] | artisantg.com All trademarks, brand names, and brands appearing herein are the property o f their respective owners. Find the NoiseCom UFX-NPR-22 at our website: Click HERE Data Sheet UFX-EbNo Series Precision Generators Count on the Noise Leader. Count on Noise Com. Artisan Technology Group - Quality Instrumentation ... Guaranteed | (888) 88-SOURCE | www.artisantg.com UFX-EbNo Series Precision Eb/No (C/N)Generators The UFX-EbNo is a fully automated instrument that sets and maintains a highly accurate ratio between a user- supplied carrier and internally generated noise, over a wide range of signal power levels and frequencies. The UFX-EbNo gives system, design, and test engineers in the cellular/PCS, satellite and military communica- tion industries a cost-effective means of obtaining higher yield through automated testing, plus increased confidence from repeatable, accurate test results. Features Multiple Operating Modes True RMS Power Meter The UFX-EbNo provides five operating modes: carrier- The digital power meter is custom designed to cover tonoise (C/N), carrier-to-noise density (C/No), bit ener- the frequency range of the particular instrument. -
Noisecom RFX7000B Datasheet
Datasheet RFX7000B Programmable Noise Generator The Noisecom RFX7000B broadband AWGN noise generator has a powerful single board computer with flexible architecture used to create complex custom noise signals for advanced test systems. This versatile platform allows the user to meet their most challeng- ing test requirements. Precision components provide high output power with superior flatness, and the flexible computer architec- ture allows control of multiple attenuators and switches. The 1U enclosure makes this idea for integrated rack applications. The RF configuration includes a broadband noise source, noise path attenuator (with a maximum attenuation range of 127.9 dB in 0.1 dB steps) and a switch. RF connection for the signal input and noise output can be located on either the front or rear panels of the instrument. An optional signal combiner, and signal attenuator allow independent control of the noise & signal paths to vary SNR while BER testing. The RFX7000B is primarily designed for automated and remote control applications typically found in a rackmount test system. Rear panel ethernet is standard, GPIB and RS-232 connectivity is available through optional adaptors. Additionally, the instrument can be manually controlled through use of a mouse and display connected to the rear panel. Noisecom programmable noise generators are highly customizable and can be configured to meet the needs of the most complex testing challenges. General Specifications Applications • Output White Gaussian noise • Eb/No, C/N, SNR • 127 dB of attenuation; -
Speech Signal Representation Through Digital Signal Processing Techniques
University of Central Florida STARS Retrospective Theses and Dissertations 1987 Speech Signal Representation Through Digital Signal Processing Techniques Debbie A. Kravchuk University of Central Florida Part of the Engineering Commons Find similar works at: https://stars.library.ucf.edu/rtd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Kravchuk, Debbie A., "Speech Signal Representation Through Digital Signal Processing Techniques" (1987). Retrospective Theses and Dissertations. 5088. https://stars.library.ucf.edu/rtd/5088 SPEECH SIGNAL REPRESENTATION THROUGH DIGITAL SIGNAL PROCESSING TECHNIQUES BY DEBBIE ADA KRAVCHUK B.S., FLORIDA ATLANTIC UNIVERSITY, 1981 RESEARCH PAPER Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering in the Graduate Studies Program of the College of Engineering University of Central Florida Orlando, Florida Summer Term 1987 ABSTRACT This paper addresses several different signal processing methods for representing speech signals. Some of the techniques that are discussed include time domain coding which uses pulse-code, differential, or delta modulating methods. Also presented are frequency domain techniques such as sub-band coding and adaptive transform coding. In addition, this paper will discuss representing speech signals through source coding techniques via vocoders. A comparison of these different signal representation methods is included. I would like to thank my husband Fred and my parents and family for all their patience, understanding, and encouragement. -
City of San Diego Noise Element
Noise Element Noise Element Noise Element Purpose To protect people living and working in the City of San Diego from excessive noise. Introduction Noise at excessive levels can affect our environment and our quality of life. Noise is subjective since it is dependent on the listener’s reaction, the time of day, distance between source and receptor, and its tonal characteristics. At excessive levels, people typically perceive noise as being intrusive, annoying, and undesirable. The most prevalent noise sources in San Diego are from motor vehicle traffic on interstate freeways, state highways, and local major roads generally due to higher traffic volumes and speeds. Aircraft noise is also present in many areas of the City. Rail traffic and industrial and commercial activities contribute to the noise environment. The City is primarily a developed and urbanized city, and an elevated ambient noise level is a normal part of the urban environment. However, controlling noise at its source to acceptable levels can make a substantial improvement in the quality of life for people living and working in the City. When this is not feasible, the City applies additional measures to limit the effect of noise on future land uses, which include spatial separation, site planning, and building design techniques that address noise exposure and the insulation of buildings to reduce interior noise levels. The Noise Element provides goals and policies to guide compatible land uses and the incorporation of noise attenuation measures for new uses to protect people living and working in the City from an excessive noise environment. This purpose becomes more relevant as the City continues to grow with infill and mixed-use development consistent with the Land Use Element. -
MT-004: the Good, the Bad, and the Ugly Aspects of ADC Input Noise-Is
MT-004 TUTORIAL The Good, the Bad, and the Ugly Aspects of ADC Input Noise—Is No Noise Good Noise? by Walt Kester INTRODUCTION All analog-to-digital converters (ADCs) have a certain amount of "input-referred noise"— modeled as a noise source connected in series with the input of a noise-free ADC. Input-referred noise is not to be confused with quantization noise which only occurs when an ADC is processing an ac signal. In most cases, less input noise is better, however there are some instances where input noise can actually be helpful in achieving higher resolution. This probably doesn't make sense right now, so you will just have to read further into this tutorial to find out how SOME noise can be GOOD noise. INPUT-REFERRED NOISE (CODE TRANSITION NOISE) Practical ADCs deviate from ideal ADCs in many ways. Input-referred noise is certainly a departure from the ideal, and its effect on the overall ADC transfer function is shown in Figure 1. As the analog input voltage is increased, the "ideal" ADC (shown in Figure 1A) maintains a constant output code until the transition region is reached, at which point the output code instantly jumps to the next value and remains there until the next transition region is reached. A theoretically perfect ADC has zero "code transition" noise, and a transition region width equal to zero. A practical ADC has certain amount of code transition noise, and therefore a transition region width that depends on the amount of input-referred noise present (shown in Figure 1B). -
Managing Noise and Preventing Hearing Loss at Work Code of Practice 2021 Page 2 of 54
Managing noise and preventing hearing loss at work Code of Practice 2021 PN12640 ISBN Creative Commons This copyright work is licensed under a Creative Commons Attribution-Noncommercial 4.0 International licence. To view a copy of this licence, visit creativecommons.org/licenses. In essence, you are free to copy, communicate and adapt the work for non-commercial purposes, as long as you attribute the work to Safe Work Australia and abide by the other licence terms. Managing noise and preventing hearing loss at work Code of Practice 2021 Page 2 of 54 Contents Foreword ................................................................................................................................... 4 1. Introduction ........................................................................................................................ 5 1.1 Who has health and safety duties in relation to noise? .......................................... 5 1.2 What is involved in managing noise and preventing hearing loss?........................ 7 1.3 Information, training, instruction and supervision ................................................... 8 2. Noise and its effects on health and safety ..................................................................... 9 2.1 How does hearing loss occur? ................................................................................ 9 2.2 How much noise is too much? ................................................................................ 9 2.3 Other effects of noise............................................................................................ -
Phase Congruential White Noise Generator
algorithms Article Phase Congruential White Noise Generator Aleksei F. Deon 1 , Oleg K. Karaduta 2 and Yulian A. Menyaev 3,* 1 Department of Information and Control Systems, Bauman Moscow State Technical University, 2nd Baumanskaya St., 5/1, 105005 Moscow, Russia; [email protected] 2 Biochemistry and Molecular Biology Department, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR 72205, USA; [email protected] 3 Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR 72205, USA * Correspondence: [email protected] Abstract: White noise generators can use uniform random sequences as a basis. However, such a technology may lead to deficient results if the original sequences have insufficient uniformity or omissions of random variables. This article offers a new approach for creating a phase signal generator with an improved matrix of autocorrelation coefficients. As a result, the generated signals of the white noise process have absolutely uniform intensities at the eigen Fourier frequencies. The simulation results confirm that the received signals have an adequate approximation of uniform white noise. Keywords: pseudorandom number generator; congruential stochastic sequences; white noise; stochastic Fourier spectrum Citation: Deon, A.F.; Karaduta, O.K.; Menyaev, Y.A. Phase Congruential 1. Introduction White Noise Generator. Algorithms The concept of white noise realization corresponds to randomness in appearance 2021, 14, 118. and distribution of signals [1–4]. For audible signals, the conforming range is the band https://doi.org/10.3390/a14040118 of frequencies from 20 to 20,000 Hz. The randomness of such signals in this range is usually perceived by the human ear as a hissing sound with different volume intensities.