ENGINEERING EVALUATION of the L O R a N – C NAVIGATION SYSTEM
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Electronic Warfare Fundamentals
ELECTRONIC WARFARE FUNDAMENTALS NOVEMBER 2000 PREFACE Electronic Warfare Fundamentals is a student supplementary text and reference book that provides the foundation for understanding the basic concepts underlying electronic warfare (EW). This text uses a practical building-block approach to facilitate student comprehension of the essential subject matter associated with the combat applications of EW. Since radar and infrared (IR) weapons systems present the greatest threat to air operations on today's battlefield, this text emphasizes radar and IR theory and countermeasures. Although command and control (C2) systems play a vital role in modern warfare, these systems are not a direct threat to the aircrew and hence are not discussed in this book. This text does address the specific types of radar systems most likely to be associated with a modern integrated air defense system (lADS). To introduce the reader to EW, Electronic Warfare Fundamentals begins with a brief history of radar, an overview of radar capabilities, and a brief introduction to the threat systems associated with a typical lADS. The two subsequent chapters introduce the theory and characteristics of radio frequency (RF) energy as it relates to radar operations. These are followed by radar signal characteristics, radar system components, and radar target discrimination capabilities. The book continues with a discussion of antenna types and scans, target tracking, and missile guidance techniques. The next step in the building-block approach is a detailed description of countermeasures designed to defeat radar systems. The text presents the theory and employment considerations for both noise and deception jamming techniques and their impact on radar systems. -
Loran C Cycle Matching Operational Evaluation in North Pacific Area
~Opy 19 Report No. FAA ...RD-75-142 1-= FAA WJH Technical Center 1111\\\ 11\\1 11m 11111 11m 11111 1III1 11111 11111111 00090609 LORAN C CYCLE MATCHING OPERATIONAL EVALUATION IN NORTH PACIFIC AREA Jon R. Hamilton . .. NAFEC :~. LIBRARY DEC 2197~· # . October 1975 Final Report Document is avai lable to the public through the National Technical Information Service, Springfield, Virginia 22161. Preparell for u.s. DEPARTMENT OF TRANSPORTATION FEDERAL AVIATION ADMINISTRATION Systems Research &Development Service Washington, D.C. 20590 NOTICE This document is disseminated under the sponsorship of the Department of Transportation in the interest of infor mation exchange. The United States Government assumes no liability for its contents or use thereof. 1 -=~,....e;.,...~_r~_~.,...~.,...' ~T 'I";~T,iW', 1--:-_' -..,..7_5..,..-_1_4_2 ....'·-O:;;;;-"=;;;;=:--.-- (000'0' No 4. Tit'e and Subtitle 5. Rer,ort Dote Loran C Cycle Matching Operational Evaluation in October 1975 North Pacific Area I-:- ------::-------:::----~--_1 1'-::--:---:--:-:---------------------------- ,g. P .. rio-Ming Orgonlzation Report N.o. 7. Author/ .) Jon R. Hami 1ton P~rfo,mi"g 9. l.Ontlnenta Organitotjpi) I-\lr N.p[e. lneS, and Acld'fu nco In. Wark Unit No. /TRAIS) International Airport 11. Cont'oct or Grant No. Los Angeles, California 90009 DOT -FA75WA-3607 -:-. '--'~"--"----'-'" ._.--------- 1J. 1" yp.. "f Qepc"t 01"1' Period Coy"r.d ~-....,.....-----_._---_._._._----.-_._--.-. __._._.__..._. __ ._---._.._." 12. Sponsoring Agency Name and ~cldr..". Final Department of Transportation I October 1975 Federal Aviation Administration Systems Research and Development Service 14. Spc.nsorinll Agene./ Code Washington, D. -
Vertical Magnetic Noise in the Voice Frequency Band Within and Above Coal Mines
Report of Investigations 8828 Vertical Magnetic Noise in the Voice Frequency Band Within and Above Coal Mines By John Durkin UNITED STATES DEPARTMENT OF THE INTERIOR William P. Clark, Secretary BUREAU OF MINES Robert C. Horton, Director Library of Congress Cataloging in Publication Data: Durkin, John Vertical magnetic noise in the voice frequency band within and above coal mines. (Report of investigations ; 8828) Bibliography: p. 21-22. Supt. of Docs. no.: I 28.23:8828. 1. Coal mines and mining-Communication systems. 2. Electromag- netic noise. 3. Voice frequency. I. Title. 11. Series: Report of in- vestigations (United States. Bureau of Mines) ; 8828. TN23.U43 [TN344] 622s [622] 83-600 164 CONTENTS Page Abstract ....................................................................... 1 Introduction ................................................................. 2 EM atmospheric noise ........................................................... 2 Noise source ................................................................. 2 Earth-ionosphere waveguide ................................................... 5 Prior atmospheric noise measurements ......................................... 8 Surface vertical magnetic noise .......................................... 9 Underground vertical magnetic noise ...................................... 11 EM vertical magnetic noise field tests ......................................... 12 Noise measuring instrumentation.............................................. 12 Noise data .................................................................. -
Radio Communications in the Digital Age
Radio Communications In the Digital Age Volume 1 HF TECHNOLOGY Edition 2 First Edition: September 1996 Second Edition: October 2005 © Harris Corporation 2005 All rights reserved Library of Congress Catalog Card Number: 96-94476 Harris Corporation, RF Communications Division Radio Communications in the Digital Age Volume One: HF Technology, Edition 2 Printed in USA © 10/05 R.O. 10K B1006A All Harris RF Communications products and systems included herein are registered trademarks of the Harris Corporation. TABLE OF CONTENTS INTRODUCTION...............................................................................1 CHAPTER 1 PRINCIPLES OF RADIO COMMUNICATIONS .....................................6 CHAPTER 2 THE IONOSPHERE AND HF RADIO PROPAGATION..........................16 CHAPTER 3 ELEMENTS IN AN HF RADIO ..........................................................24 CHAPTER 4 NOISE AND INTERFERENCE............................................................36 CHAPTER 5 HF MODEMS .................................................................................40 CHAPTER 6 AUTOMATIC LINK ESTABLISHMENT (ALE) TECHNOLOGY...............48 CHAPTER 7 DIGITAL VOICE ..............................................................................55 CHAPTER 8 DATA SYSTEMS .............................................................................59 CHAPTER 9 SECURING COMMUNICATIONS.....................................................71 CHAPTER 10 FUTURE DIRECTIONS .....................................................................77 APPENDIX A STANDARDS -
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. -
Reliability of Atmospheric Radio Noise Predictions L
JOURNAL OF RESEARCH of the National Bureau of Standards- D. Radio Propagation Vol. 650 , No.6, November- December 1961 Reliability of Atmospheric Radio Noise Predictions l John R. Herman Contribution from AVCO Corporation, Research and Advanced Development Division, Geophysics Section, 201 Lowell Street, Wilmington, Mass. (Received May 15, 1961) Measured radio noise values are compared with the corresponding International Radio Consultative Committee [C.C.I.R., 1957) predicted values at four noise measuring stations. Five freq uencies between 0.013 and 10.0 Mc/s are considered. The stations selected for this ~t ud y include Balboa, Panama, near t wo major radio noise centers, and Byrd Station, Antarctic, remote from. atmosp heric radio noise sources. It is fouod that the predicted and measured noise levels are in good agreement except at some places and times, where large discrepancies occur. :Most of the disagreements are found at places where the predi ctions are based on extrapolations of data measured at other stations. R easons for the disagree men ts are disc u sed. 1. Introduction Becausc the success or failure of communications by radio waves depends upon the signal-to-noise i ratio at the receiver, it has become necessary to obtain some knowledge of the noise levels to be expected. Atmospherically-generated radio noise levels vary with time of day, scason, and geographi cal lo cation. Prediction of tbe variations on a worldwide basis have been published in Radio Propagation Unit (R.P.U.) Technical R eport No.5 [1945 1947] and National Bureau of Standards Circular 462 [1948] in terms of t he minimum field stl' e ngth~ r ~ quir e ~ to maintain int ell i~ibl e. -
Comparison of Available Methods for Predicting Medium Frequency Sky-Wave Field Strengths
NTIA-Report-80-42 Comparison of Available Methods for Predicting Medium Frequency Sky-Wave Field Strengths Margo PoKempner us, DEPARTMENT OF COMMERCE Philip M. Klutznick, Secretary Henry Geller, Assistant Secretary for Communications and Information June 1980 I j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j TABLE OF CONTENTS Page LIST OF FIGURES iv LIST OF TABLES iv ABSTRACT 1 1. INTRODUCTION 1 2. CHRONOLOGICAL DEVELOPMENT OF MF FIELD-STRENGTH PREDICTION METHODS 2 3. DISCUSSION OF THE METHODS 4 3.1 Cairo Curves 4 3.2 The FCC Curves 7 3.3 Norton Method 10 3.4 EBU Method 11 3.5 Barghausen Method 12 3.6 Revision of EBU Method for the African LF/MF Broadcasting Conference 12 3.7 Olver Method 12 3.8 Knight Method 13 3.9 The CCIR Geneva 1974 Methods 13 3.10 Wang 1977 Method 15 3.11 The CCIR Kyoto 1978 Method 15 3.12 The Wang 1979 Method 16 4. -
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. -
Reception of Skywave Signals Near a Coastline
JOURNAL OF RESEARCH of the National Bureau of Standards-D. Radio Propagation Vol. 67D, No.3, May- June 1963 Reception of Skywave Signals Near a Coastline J. Bach Andersen Contribution from Laboratory of Electromagnetic Theory, The Technical University of Denmark, Copenhagen, Denmark (Recei\'ed November 5, 1962) An experimental investigation has been made on t he influence of gt'ou nd inhomoge neities on the reception of skywave sig nals, especiall y t he in fluence of the conductivity contrast ncar a coastline. This gives rise to a r apid decrease in fi eld strength ncar til(' coastline as is "'ell known from g roundwave mixed path theory. Comparison with Lheory is given. Infl uC'llce of dilhts(' reflection from t he ionosplwre is also cOIl :; idereri . 1. Introduction conditions, i. e., a s Lraight boundary lin e, n,lt <l IH1 homogeneo us sectiollS , it was co nsidered worthwhile ;,lany factors influence the radiation 01' reception to measure tbe field in tensity at a n actual reception of skywave signals in the shortw,we ra nge, a nd in site in order to find Lhe deviation s from the simple choosing a proper site for a HF-a ntenna it is impor theory. tant to evaluate the influence of the various factors. lnstead of m eftsuring t he verticlll radiation pat They include th e electrical parameters (the conduc tern aL d iIrerent distances from Lhe coastlin e, the tivity and the p ermi ttiv ity) of the groulld, hills, or fi eld intensity from a distf\nL Lran smitter was m eas clift's a nd other irregularities of the sbape of the ured simultaneo usly at two d ifr erent places. -
Rolling Bearings Fault Diagnosis and Classi Cation Based on Optimal Wavelet Subband Selection and Deep Neural Network
Rolling bearings fault diagnosis and classication based on optimal wavelet subband selection and deep neural network Rakesh Kumar Jha ( [email protected] ) Rajiv Gandhi Proudyogiki Vishwavidyalaya https://orcid.org/0000-0002-6568-8083 Preety D Swami Rajiv Gandhi Proudyogiki Vishwavidyalaya Research Article Keywords: Autoencoder, fault diagnosis, Shannon entropy, softmax classier, stationary wavelet transform. Posted Date: March 23rd, 2021 DOI: https://doi.org/10.21203/rs.3.rs-342393/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Rolling bearings fault diagnosis and classification based on optimal wavelet subband selection and deep neural network Rakesh Kumar Jha1, a *, Preety D Swami1,b 1 Department of Electronics & Communication Engineering, RGPV, Bhopal- 462033, India *a email-address: [email protected] b email-address: [email protected] Abstract Time-frequency analysis plays a vital role in fault diagnosis of nonstationary vibration signals acquired from mechanical systems. However, the practical applications face the challenges of continuous variation in speed and load. Apart from this, the disturbances introduced by noise are inevitable. This paper aims to develop a robust method for fault identification in bearings under varying speed, load and noisy conditions. An Optimal Wavelet Subband Deep Neural Network (OWS-DNN) technique is proposed that automatically extracts features from an optimal wavelet subband selected on the basis of Shannon entropy. After denoising the optimal subband, the optimal subbands are dimensionally reduced by the encoder section of an autoencoder. The output of the encoder can be considered as data features. Finally, softmax classifier is employed to classify the encoder output. -
Interpretation and Utilization of the Echo
PROCEEDINGS OF THE IEEE, VOL. 62, NO. 6, JUNE 1974 673 Sea Backscatter at HF: Interpretation and Utilization of the Echo DONALD E. BARRICK, MEMBER, IEEE, JAMES M. HEADRICK, SENIOR MEMBER, IEEE, ROBERT W. BOGLE, DOUGLASS D. CROMBIE AND Abstract-Theories and concepts for utilization of HF sea echo are compared and tested against surface-wave measurements made from San Clemente Island in the Pacific in a joint NRL/ITS/NOAA Although the heights of ocean waves are generally small experiment. The use of first-order sea echo as a reference target for in terms of these radar wavelengths, the scattered echo is calibration of HF over-the-horizon radars is established. Features of the higher order Doppler spectrum can be employed to deduce the nonetheless surprisingly large and readily interpretable in principal parameters of the wave-height directional. spectrum (i.e., terms of its Doppler features. The fact that these heights are sea state); and it is shown that significant wave height can be read small facilitates the analysis of scatter using the perturbation from the spectral records. Finally, it is shown that surface currents approximation. This theory [2] produces an equation which and current (depth) gradients can be inferred from the same Doppler 1) agrees with the scattering mechanism deduced by Crombie sea-echo records. from experimental data; 2) properly predicts the positions of I. INTRODUCTION the dominant Doppler peaks; 3) shows how the dominant echo magnitude is related to the sea wave height; and 4) per mits an explanation of some of the less dominant, more com T WENTY YEARS ago Crombie [1] observed sea echo plex features of the sea echo through retention and use of the with an HF radar, and he correctly deduced the scatter higher order terms in the perturbation analysis. -
Maritime Patrol Aviation: 90 Years of Continuing Innovation
J. F. KEANE AND C. A. EASTERLING Maritime Patrol Aviation: 90 Years of Continuing Innovation John F. Keane and CAPT C. Alan Easterling, USN Since its beginnings in 1912, maritime patrol aviation has recognized the importance of long-range, persistent, and armed intelligence, surveillance, and reconnaissance in sup- port of operations afl oat and ashore. Throughout its history, it has demonstrated the fl ex- ibility to respond to changing threats, environments, and missions. The need for increased range and payload to counter submarine and surface threats would dictate aircraft opera- tional requirements as early as 1917. As maritime patrol transitioned from fl ying boats to land-based aircraft, both its mission set and areas of operation expanded, requiring further developments to accommodate advanced sensor and weapons systems. Tomorrow’s squad- rons will possess capabilities far beyond the imaginations of the early pioneers, but the mis- sion will remain essentially the same—to quench the battle force commander’s increasing demand for over-the-horizon situational awareness. INTRODUCTION In 1942, Rear Admiral J. S. McCain, as Com- plane. With their normal and advance bases strategically mander, Aircraft Scouting Forces, U.S. Fleet, stated the located, surprise contacts between major forces can hardly following: occur. In addition to receiving contact reports on enemy forces in these vital areas the patrol planes, due to their great Information is without doubt the most important service endurance, can shadow and track these forces, keeping the required by a fl eet commander. Accurate, complete and up fl eet commander informed of their every movement.1 to the minute knowledge of the position, strength and move- ment of enemy forces is very diffi cult to obtain under war Although prescient, Rear Admiral McCain was hardly conditions.