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Iot Systems Overview
IoT systems overview CoE Training on Traffic engineering and advanced wireless network planning Sami TABBANE 30 September -03 October 2019 Bangkok, Thailand 1 Objectives •Present the different IoT systems and their classifications 2 Summary I. Introduction II. IoT Technologies A. Fixed & Short Range B. Long Range technologies 1. Non 3GPP Standards (LPWAN) 2. 3GPP Standards IoT Specificities versus Cellular IoT communications are or should be: Low cost , Low power , Long battery duration , High number of connections , Low bitrate , Long range , Low processing capacity , Low storage capacity , Small size devices , Relaxed latency , Simple network architecture and protocols . IoT Main Characteristics Low power , Low cost (network and end devices), Short range (first type of technologies) or Long range (second type of technologies), Low bit rate (≠ broadband!), Long battery duration (years), Located in any area (deep indoor, desert, urban areas, moving vehicles …) Low cost 3GPP Rel.8 Cost 75% 3GPP Rel.8 CAT-4 20% 3GPP Rel.13 CAT-1 10% 3GPP Rel.13 CAT-M1 NB IoT Complexity Extended coverage +20dB +15 dB GPRS CAT-M1 NB-IoT IoT Specificities IoT Specificities and Impacts on Network planning and design Characteristics Impact • High sensitivity (Gateways and end-devices with a typical sensitivity around -150 dBm/-125 dBm with Bluetooth/-95 dBm in 2G/3G/4G) Low power and • Low frequencies strong signal penetration Wide Range • Narrow band carriers far greater range of reception • +14 dBm (ETSI in Europe) with the exception of the G3 band with +27 dBm, +30 dBm but for most devices +20 dBm is sufficient (USA) • Low gateways cost Low deployment • Wide range Extended coverage + strong signal penetration and Operational (deep indoor, Rural) Costs • Low numbers of gateways Link budget: UL: 155 dB (or better), DL: Link budget: 153 dB (or better) • Low Power Long Battery life • Idle mode most of the time. -
Contents More Information
Cambridge University Press 978-0-521-51630-3 - Practical Digital Wireless Signals Earl McCune Table of Contents More information Contents Preface page xvii Definitions and acronyms xx Terminology and notation xxv 1 Keying, states, and block diagram construction 1 1.1 Radio communications: what really happens? 2 1.2 Modulation states: “keyed” 3 1.3 DWC signal representations 6 1.3.1 “Digital” modulations of an analog signal 6 1.3.2 Polar representation 6 1.3.3 Quadrature representation 7 1.3.4 Transformations between signal representations 9 1.4 Frequency domain representations 11 1.5 Implementing a DWC system 13 1.5.1 Symbol construction 13 1.5.2 Symbol-to-signal-state mapping 14 1.5.3 State transitions 15 1.5.4 Modulator 17 1.5.5 Power amplifier (PA) 17 1.5.6 Radio front-end 18 Simplex 18 Duplex 19 Duplexer vs. diplexer 20 References 22 For further reading 22 2 Common issues and signal characterization 23 2.1 Power spectral density (PSD) 23 2.2 Occupied bandwidth 28 2.2.1 Useful signal-bandwidth measures 29 Bounded power-spectral-density (B-PSD) bandwidth 29 Fractional power-containment bandwidth 31 Transmitter mask 33 © in this web service Cambridge University Press www.cambridge.org Cambridge University Press 978-0-521-51630-3 - Practical Digital Wireless Signals Earl McCune Table of Contents More information viii Contents 2.2.2 Bad signal-bandwidth measures 33 Null-to-null bandwidth 33 Equivalent white-noise signal bandwidth (ENSB) 34 2.3 Bandlimiting filtering 35 2.3.1 Exact vs. -
Performance Evaluation of Power-Line Communication Systems for LIN-Bus Based Data Transmission
electronics Article Performance Evaluation of Power-Line Communication Systems for LIN-Bus Based Data Transmission Martin Brandl * and Karlheinz Kellner Department of Integrated Sensor Systems, Danube University, 3500 Krems, Austria; [email protected] * Correspondence: [email protected]; Tel.: +43-2732-893-2790 Abstract: Powerline communication (PLC) is a versatile method that uses existing infrastructure such as power cables for data transmission. This makes PLC an alternative and cost-effective technology for the transmission of sensor and actuator data by making dual use of the power line and avoiding the need for other communication solutions; such as wireless radio frequency communication. A PLC modem using DSSS (direct sequence spread spectrum) for reliable LIN-bus based data transmission has been developed for automotive applications. Due to the almost complete system implementation in a low power microcontroller; the component cost could be radically reduced which is a necessary requirement for automotive applications. For performance evaluation the DSSS modem was compared to two commercial PLC systems. The DSSS and one of the commercial PLC systems were designed as a direct conversion receiver; the other commercial module uses a superheterodyne architecture. The performance of the systems was tested under the influence of narrowband interference and additive Gaussian noise added to the transmission channel. It was found that the performance of the DSSS modem against singleton interference is better than that of commercial PLC transceivers by at least the processing gain. The performance of the DSSS modem was at least 6 dB better than the other modules tested under the influence of the additive white Gaussian noise on the transmission channel at data rates of 19.2 kB/s. -
UMTS XX.05 V1.0.0 (1999-02) Technical Report
TD TSG RAN-99027 UMTS XX.05 V1.0.0 (1999-02) Technical Report UMTS Terrestrial Radio Access Network (UTRAN); UTRA FDD, spreading and modulation description; (UMTS XX.05 version 1.0.0) UMTS Universal Mobile Telecommunications System (UMTS XX.05 version 1.0.0) 2 UMTS XX.05 V1.0.0 (1999-02) Reference DTR/SMG-02XX05U (01o00i04.PDF) Keywords Digital cellular telecommunications system, Universal Mobile Telecommunication System (UMTS), UTRAN ETSI Postal address F-06921 Sophia Antipolis Cedex - FRANCE Office address 650 Route des Lucioles - Sophia Antipolis Valbonne - FRANCE Tel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16 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] 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 Telecommunications Standards Institute 1999. All rights reserved. ETSI (UMTS XX.05 version 1.0.0) 3 UMTS XX.05 V1.0.0 (1999-02) Contents Intellectual Property Rights ............................................................................................................................... 4 Foreword........................................................................................................................................................... -
An Elementary Approach Towards Satellite Communication
AN ELEMENTARY APPROACH TOWARDS SATELLITE COMMUNICATION Prof. Dr. Hari Krishnan GOPAKUMAR Prof. Dr. Ashok JAMMI AN ELEMENTARY APPROACH TOWARDS SATELLITE COMMUNICATION Prof. Dr. Hari Krishnan GOPAKUMAR Prof. Dr. Ashok JAMMI AN ELEMENTARY APPROACH TOWARDS SATELLITE COMMUNICATION WRITERS Prof. Dr. Hari Krishnan GOPAKUMAR Prof. Dr. Ashok JAMMI Güven Plus Group Consultancy Inc. Co. Publications: 06/2021 APRIL-2021 Publisher Certificate No: 36934 E-ISBN: 978-605-7594-89-1 Güven Plus Group Consultancy Inc. Co. Publications All kinds of publication rights of this scientific book belong to GÜVEN PLUS GROUP CONSULTANCY INC. CO. PUBLICATIONS. Without the written permission of the publisher, the whole or part of the book cannot be printed, broadcast, reproduced or distributed electronically, mechanically or by photocopying. The responsibility for all information and content in this Book, visuals, graphics, direct quotations and responsibility for ethics / institutional permission belongs to the respective authors. In case of any legal negativity, the institutions that support the preparation of the book, especially GÜVEN PLUS GROUP CONSULTANCY INC. CO. PUBLISHING, the institution (s) responsible for the editing and design of the book, and the book editors and other person (s) do not accept any “material and moral” liability and legal responsibility and cannot be taken under legal obligation. We reserve our rights in this respect as GÜVEN GROUP CONSULTANCY “PUBLISHING” INC. CO. in material and moral aspects. In any legal problem/situation TURKEY/ISTANBUL courts are authorized. This work, prepared and published by Güven Plus Group Consultancy Inc. Co., has ISO: 10002: 2014- 14001: 2004-9001: 2008-18001: 2007 certificates. This work is a branded work by the TPI “Turkish Patent Institute” with the registration number “Güven Plus Group Consultancy Inc. -
Timing Accuracy of Self-Encoded Spread Spectrum Navigation with Communication
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications in Computer & Electronics Electrical & Computer Engineering, Department Engineering (to 2015) of 2011 Timing accuracy of self-encoded spread spectrum navigation with communication Won Mee Jang University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/computerelectronicfacpub Jang, Won Mee, "Timing accuracy of self-encoded spread spectrum navigation with communication" (2011). Faculty Publications in Computer & Electronics Engineering (to 2015). 108. https://digitalcommons.unl.edu/computerelectronicfacpub/108 This Article is brought to you for free and open access by the Electrical & Computer Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications in Computer & Electronics Engineering (to 2015) by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Published in IET Radar, Sonar and Navigation 5:1 (2011), pp. 1–6; doi: 10.1049/iet-rsn.2009.0234 Copyright © 2011 The Institution of Engineering and Technology. Used by permission. Submitted September 7, 2009; revised January 25, 2010 Timing accuracy of self-encoded spread spectrum navigation with communication W. M. Jang Department of Computer and Electronics Engineering, The Peter Kiewit Institute of Information Science, Technology & Engineering, University of Nebraska–Lincoln, Omaha, NE 68182, USA; email [email protected] Abstract The author presents the timing accuracy of self-encoded spread spectrum (SESS) in navigation. SESS eliminates the need for traditional transmit and receive pseudo noise code generators. As the term implies, the spreading code is instead obtained from the random digital information source itself. SESS was shown to improve system performance significantly in fading channels. -
Matlab Simulation for Generation and Performance Analysis of Gold Codes in CDMA
ors ens & B s io io e Lateef et al., J Biosens Bioelectron 2017, 8:2 B l e f c o t r l DOI: 10.4172/2155-6210.1000243 o Journal of a n n i r c u s o J ISSN: 2155-6210 Biosensors & Bioelectronics Research Article Open Access Matlab Simulation for Generation and Performance Analysis of Gold Codes in CDMA Lateef AAA, Ayed B, Khalid S, Ali F, Ghazi M and Mahammed KA* Department of Electrical Engineering, College of Engineering, Al Dawadmi, Shaqra University, Saudi Arabia Abstract In communication, SS plays a vital role in practical application like mobile communication in CDMA because it has advantage like noise immunity. Spread spectrum technique may be a digital pass band technique. Some good codes are used by SS modulation and demodulation scheme0.s. At the channel the signal with noise gets jammed and results in transmission problem. So, this paper depicts PN codes for the development of gold codes with accuracy. These codes ought to be well arranged to the message signal. This sequence which is developed as the spreaded signal for the transmission process in CDMA shall contain the noise immunity property. Received signal from the transmission process is despreaded in receiver. Designed sequence with similar gold codes acclimated to redesign the baseband signal. For the above mentioned process Matlab simulation programming has been adopted. Keywords: Pseudo Noise (PN) codes; Spread spectrum; CDMA; corrupting. The characteristic of spreading is achieved by PN codes. Gold codes The achieved signal is joined again with the PN codes. Each measured bit is encoded with numerous bits inside the PN selected bits. -
Advances in Radio Science (2004) 2: 127–133 © Copernicus Gmbh 2004 Advances in Radio Science
Advances in Radio Science (2004) 2: 127–133 © Copernicus GmbH 2004 Advances in Radio Science Link budget comparison of different mobile communication systems based on EIRP and EISL G. Fischer1, F. Pivit2, and W. Wiebeck2 1Lucent Technologies, Bell Labs Advanced Technologies, Thurn-und-Taxis-Straße 10, 90411 Nuremberg, Germany 2Institut fur¨ Hochstfrequenztechnik¨ und Elektronik, Universitat¨ Karlsruhe, Kaiserstraße 12, 76128 Karlsruhe, Germany Abstract. The metric EISL (Equivalent Isotropic Sensitiv- Figure 1 illustrates the great variety of mobile communi- ity Level) describing the effective sensitivity level usable at cation systems and their evolution steps. A major evolution the air interface of a mobile or a basestation is used to com- step is a migration from so-called second generation systems pare mobile communication systems either based on time di- (2G) like IS136-TDMA (Time Division Multiple Access) vision or code division multiple access in terms of coverage and GSM (Global System for Mobile communication) to- and emission characteristics. It turns out that systems that wards third generation systems (3G, IMT2000 systems) like organize the multiple access by different codes rather than UMTS and CDMA2000 (Code Division Multiple Access). different timeslots run at less emission and offer greater cov- EDGE (Enhanced Data rates through GSM Evolution) is not erage. considered a 3G system here, because it is not able to of- fer Quality of Service (QoS) control, what is mandated with 3G systems by the ITU (International Telecommunications Union). A further evolution of EDGE called GERAN (GSM 1 Introduction EDGE Radio Access Network) will be able to offer that, but this standard doesn’t have a wide acceptance yet. -
Designing Low-Correlation GPS Spreading Codes with a Natural Evolution Strategy Machine Learning Algorithm
Designing Low-Correlation GPS Spreading Codes with a Natural Evolution Strategy Machine Learning Algorithm Tara Yasmin Mina and Grace Xingxin Gao, Stanford University ABSTRACT With the birth of the next-generation GPS III constellation and the upcoming launch of the Navigation Technology Satellite-3 (NTS-3) testing platform to explore future technologies for GPS, we are indeed entering a new era of satellite navigation. Correspondingly, it is time to revisit the design methods of the GPS spreading code families. In this work, we develop a natural evolution strategy (NES) machine learning algorithm with a Gaussian proposal distribution which constructs high-quality families of spreading code sequences. We demonstrate the ability of our algorithm to achieve better mean-squared auto- and cross-correlation than well-chosen families of equal-length Gold codes and Weil codes, for sequences of up to length-1023 and length-1031 bits and family sizes of up to 31 codes. Furthermore, we compare our algorithm with an analogous genetic algorithm implementation assigned the same code evaluation metric. To the best of the authors’ knowledge, this is the first work to explore using a machine learning approach for designing navigation spreading code sequences. I. INTRODUCTION On January 13th of 2020, the U.S. Air Force 2nd Space Operations Squadron (2 SOPS) issued a statement that the first GPS III satellite was marked healthy and available for use [1]. This announcement officially marked the birth of the next-generation GPS constellation. In addition to broadcasting the new L1C signal, the modernized constellation is distinguished by its reprogrammable payload, which allows it to evolve with new technologies and changing mission needs. -
AN1200.22 Lora™ Modulation Basics
AN1200.22 LoRa™ Modulation Basics APPLICATION NOTE AN1200.22 LoRa™ Modulation Basics Revision 2, May 2015 www.semtech.com P a g e | 1 ©2015 Semtech Corporation AN1200.22 LoRa™ Modulation Basics APPLICATION NOTE Table of Contents 1 Introduction .......................................................................................................................................... 4 2 Acronyms .............................................................................................................................................. 5 3 Spread Spectrum Communications ...................................................................................................... 6 3.1 Shannon – Hartley Theorem ......................................................................................................... 6 3.2 Spread-Spectrum Principles .......................................................................................................... 7 3.3 Chirp Spread Spectrum ................................................................................................................. 9 4 LoRa Spread Spectrum .......................................................................................................................... 9 4.1 Key Properties of LoRa Modulation ............................................................................................ 11 4.1.1 Bandwidth Scalable ............................................................................................................. 11 4.1.2 Constant Envelope / Low-Power ........................................................................................ -
Time-Compression Overlap-Add (TC-OLA) for Wireless Communications
Time-Compression Overlap-Add (TC-OLA) for Wireless Communications by Stephen Harrison B.Eng., University of Victoria, 2009 A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY in the Department of Electrical and Computer Engineering c Stephen Harrison, 2016 University of Victoria All rights reserved. This dissertation may not be reproduced in whole or in part, by photocopying or other means, without the permission of the author. ii Time-Compression Overlap-Add (TC-OLA) for Wireless Communications by Stephen Harrison B.Eng., University of Victoria, 2009 Supervisory Committee Dr. P. F. Driessen, Supervisor (Department of Electrical and Computer Engineering) Dr. W. Page, Departmental Member (Department of Electrical and Computer Engineering) Dr. G. Tzanetakis, Outside Member (Department of Computer Science) iii Supervisory Committee Dr. P. F. Driessen, Supervisor (Department of Electrical and Computer Engineering) Dr. W. Page, Departmental Member (Department of Electrical and Computer Engineering) Dr. G. Tzanetakis, Outside Member (Department of Computer Science) ABSTRACT Time-compression overlap-add (TC-OLA) is presented as a novel method of com- munications over a (wireless) channel, which is shown to have benefits over other methods in some applications. TC-OLA is initially explored in an experimental con- text using a custom wideband software-defined radio (SDR) to gain insight into some of the possibilities of this method. Basic analysis is developed showing the process- ing gain, transmitted spectrum, and behaviour in fading channels. The method is considered as a candidate for low power wide area network (LPWAN) applications, highlighting the equivalent channel property, channel averaging, and ability to handle more simultaneous users in the uplink than other schemes in this application area. -
Spreading Code Generator in Direct Sequence Spread Spectrum Modulator
ISSN: 2278 – 909X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 4, Issue 8, August 2015 Spreading Code Generator in Direct Sequence Spread Spectrum Modulator M.Raj kumar Sri K.Raju 1Student of M.Tech in VLSI & EMBEDDED SYSTEMS 2Assistant Professor of Electronics and Communication ,Electronics and Communication Engineering , Engineering, GPREC (Autonomous), JNTU-A, Kurnool, GPREC(Autonomous) ,JNTU-A ,Kurnool ,Andhra Pradesh Andhra Pradesh, India ,India . Abstract— This paper presents the FPGA implementation of spreading code generator in direct sequence spread spectrum modulator, in this Direct Sequence Spread Spectrum where by the original data signal is multiplied with a pseudo noise spreading code to be transmitted. This process can be done through the spreading code generator which can be implemented using VHDL in DSSS modulator on Spartan 6 FPGA family. spreading code has a Programmable chip rates up to 60 Mchip/s and spreading factor from 3 to 65335.Modulation is BPSK/QPSK and raised cosine square root filter with 20% rolloff where Filter can be bypassed. Keywords— DSSS modulator, Pseudo code generator , Gold sequences, Maximal length sequences, barker codes, GPS C/A codes. 1. INTRODUCTION Figure 1: General spread spectrum model In some situations it is required that a communication signal be difficult to detect, and difficult to demodulate even 2. DSSS MODULATOR when detected. Here the word ‗detect‘ is used in the sense of ‗to discover the presence of‘. The signal is required to have a Direct sequence spread spectrum, also known as low probability of intercept – LPI. In other situations a signal direct sequence code division multiple access (DS-CDMA), is is required that is difficult to interfere with, or ‗jam‘.