CS647: Advanced Topics in Wireless Networks Basics
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UNIT V- SPREAD SPECTRUM MODULATION Introduction
UNIT V- SPREAD SPECTRUM MODULATION Introduction: Initially developed for military applications during II world war, that was less sensitive to intentional interference or jamming by third parties. Spread spectrum technology has blossomed into one of the fundamental building blocks in current and next-generation wireless systems. Problem of radio transmission Narrow band can be wiped out due to interference. To disrupt the communication, the adversary needs to do two things, (a) to detect that a transmission is taking place and (b) to transmit a jamming signal which is designed to confuse the receiver. Solution A spread spectrum system is therefore designed to make these tasks as difficult as possible. Firstly, the transmitted signal should be difficult to detect by an adversary/jammer, i.e., the signal should have a low probability of intercept (LPI). Secondly, the signal should be difficult to disturb with a jamming signal, i.e., the transmitted signal should possess an anti-jamming (AJ) property Remedy spread the narrow band signal into a broad band to protect against interference In a digital communication system the primary resources are Bandwidth and Power. The study of digital communication system deals with efficient utilization of these two resources, but there are situations where it is necessary to sacrifice their efficient utilization in order to meet certain other design objectives. For example to provide a form of secure communication (i.e. the transmitted signal is not easily detected or recognized by unwanted listeners) the bandwidth of the transmitted signal is increased in excess of the minimum bandwidth necessary to transmit it. -
Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication
sensors Article Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication Chao Li 1,2,*, Franck Marzani 3 and Fan Yang 3 1 State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China 2 University of Chinese Academy of Sciences, Beijing 100190, China 3 LE2I EA7508, Université Bourgogne Franche-Comté, 21078 Dijon, France; [email protected] (F.M.); [email protected] (F.Y.) * Correspondence: [email protected] Received: 25 September 2018; Accepted: 28 November 2018; Published: 1 December 2018 Abstract: The chaos phase modulation sequences consist of complex sequences with a constant envelope, which has recently been used for direct-sequence spread spectrum underwater acoustic communication. It is considered an ideal spreading code for its benefits in terms of large code resource quantity, nice correlation characteristics and high security. However, demodulating this underwater communication signal is a challenging job due to complex underwater environments. This paper addresses this problem as a target classification task and conceives a machine learning-based demodulation scheme. The proposed solution is implemented and optimized on a multi-core center processing unit (CPU) platform, then evaluated with replay simulation datasets. In the experiments, time variation, multi-path effect, propagation loss and random noise were considered as distortions. According to the results, compared to the reference algorithms, our method has greater reliability with better temporal efficiency performance. Keywords: underwater acoustic communication; direct sequence spread spectrum; chaos phase modulation sequence; partial least square regression; machine learning 1. Introduction The underwater acoustic communication has always been a crucial research topic [1–6]. -
Optimal Multiplexed Hierarchical Modulation for Unequal Error Protection of Progressive Bit Streams
UC San Diego UC San Diego Previously Published Works Title Optimal Multiplexed Hierarchical Modulation for Unequal Error Protection of Progressive Bit Streams Permalink https://escholarship.org/uc/item/9gc392b0 Authors Chang, S.-H. Rim, M Cosman, P C et al. Publication Date 2009-11-01 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Optimal Multiplexed Hierarchical Modulation for Unequal Error Protection of Progressive Bit Streams Seok-Ho Chang†, Minjoong Rim‡, Pamela C. Cosman† and Laurence B. Milstein† †ECE Dept., University of California at San Diego, La Jolla, CA 92093, USA ‡ICE Dept., Dongguk University, Seoul, Korea Abstract—Progressive image and scalable video have gradual quality. Since these progressive transmissions have gradual differences of importance in their bitstreams, which can benefit differences of importance in their bitstreams, a large number from multiple levels of unequal error protection (UEP). Though of error protection levels are required. However, hierarchical hierarchical modulation has been intensively studied as an UEP approach for digital broadcasting and multimedia transmission, modulation can achieve only a limited number of UEP levels methods of achieving a large number of UEP levels have rarely for a given constellation size. For example, hierarchical 16 been studied. In this paper, we propose a multilevel UEP system QAM provides two levels of UEP, and hierarchical 64 QAM using multiplexed hierarchical quadrature amplitude modulation yields at most three levels [11]. In the DVB-T standard, video (QAM) for progressive transmission over mobile radio channels. data encoded by MPEG-2 consists of two different layers, We suggest a specific way of multiplexing, and prove that multiple levels of UEP are achieved by the suggested method. -
192620010 Mobile & Wireless Networking Lecture 2: Wireless
192620010 Mobile & Wireless Networking Lecture 2: Wireless Transmission (2/2) [Schiller, Section 2.6 & 2.7] [Reader Part 1: OFDM: An architecture for the fourth generation] Geert Heijenk Mobile and Wireless Networking 2013 / 2014 Outline of Lecture 2 q Wireless Transmission (2/2) q Modulation q Spread Spectrum q Orthogonal Frequency Division Multiplexing (OFDM) 2 Mobile and Wireless Networking 2013 / 2014 Modulation Process of encoding information from a message source in a manner suitable for transmission Two major steps: 1. Digital modulation q digital data is translated into an analog signal (baseband) 2. Analog modulation q shifts center frequency of baseband signal up to the radio carrier q Motivation l smaller antennas (e.g., λ/4) l Frequency Division Multiplexing l medium characteristics 3 Mobile and Wireless Networking 2013 / 2014 Modulation and demodulation analog baseband digital signal data digital analog 101101001 modulation modulation radio transmitter radio carrier analog baseband digital signal analog synchronization data demodulation decision 101101001 radio receiver radio carrier 4 Mobile and Wireless Networking 2013 / 2014 Modulation q Carrier s(t) = At sin(2 π ft t + ϕt) q Basic analog modulation schemes schemes q Amplitude Modulation (AM) q Frequency Modulation (FM) q Phase Modulation (PM) q Digital modulation q ASK, FSK, PSK - main focus here q differences in spectral efficiency, power efficiency, robustness 5 Mobile and Wireless Networking 2013 / 2014 Digital modulation Modulation of digital signals known as Shift -
Continuous Phase Modulation with Faster-Than-Nyquist Signaling for Channels with 1-Bit Quantization and Oversampling at the Receiver Rodrigo R
1 Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver Rodrigo R. M. de Alencar, Student Member, IEEE, and Lukas T. N. Landau, Member, IEEE, Abstract—Continuous phase modulation (CPM) with 1-bit construction of zero-crossings. The proposed CPM waveform quantization at the receiver is promising in terms of energy conveys the same information per time interval as the common and spectral efficiency. In this study, CPM waveforms with CPFSK while its bandwidth can be the same and even lower. symbol durations significantly shorter than the inverse of the signal bandwidth are proposed, termed faster-than-Nyquist CPM. Referring to the high signaling rate, like it is typical for faster- This configuration provides a better steering of zero-crossings than-Nyquist signaling [9], the novel waveform is termed as compared to conventional CPM. Numerical results confirm a faster-than-Nyquist continuous phase modulation (FTN-CPM). superior performance in terms of BER in comparison with state- Numerical results confirm that the proposed waveform yields of-the-art methods, while having the same spectral efficiency and a significantly reduced bit error rate (BER) as compared to a lower oversampling factor. Moreover, the new waveform can be detected with low-complexity, which yields almost the same the existing methods [7], [6] with at least the same spectral performance as using the BCJR algorithm. efficiency. In addition, FTN-CPM can be detected with low- complexity and with a lower effective oversampling factor in Index Terms—1-bit quantization, oversampling, continuous phase modulation, faster-than-Nyquist signaling. -
Hierarchical Modulation Performance Analysis: Application to DVB-SH and DVB-S2
1 Generic Approach for Hierarchical Modulation Performance Analysis: Application to DVB-SH and DVB-S2 Hugo Meric´ ∗y,Jer´ omeˆ Lacany∗, Caroline Amiot-Bazilez, Fabrice Arnalx and Marie-Laure Boucherety∗ ∗TeSA,´ Toulouse, France yUniversite´ de Toulouse, Toulouse, France zCNES, Toulouse, France xThales Alenia Space, Toulouse, France Email: [email protected], [email protected], [email protected], [email protected], [email protected] Abstract Broadcasting systems have to deal with channel variability in order to offer the best rate to the users. Hierarchical modulation is a practical solution to provide different rates to the receivers in function of the channel quality. Unfortunately, the performance evaluation of such modulations requires time consuming simulations. We propose in this paper a novel approach based on the channel capacity to avoid these simulations. The method allows to study the performance of hierarchical and also classical modulations combined with error correcting codes. We will also compare hierarchical modulation with time sharing strategy in terms of achievable rates and indisponibility. Our work will be applied to the DVB-SH and DVB-S2 standards, which both consider hierarchical modulation as an optional feature. arXiv:1103.1742v1 [cs.IT] 9 Mar 2011 Index Terms Hierarchical Modulation, Channel Capacity, Digital Video Broadcasting, System Performance. I. INTRODUCTION In most broadcast applications, all the receivers do not experience the same signal-to-noise ratio (SNR). For instance, in satellite communications the channel quality decreases with the presence of clouds in Ku or Ka band, or with shadowing effects of the environment in lower bands. The material in this paper will be presented in part at WTS 2011, New-York, United States, April 2011. -
Digital Phase Modulation: a Review of Basic Concepts
Digital Phase Modulation: A Review of Basic Concepts James E. Gilley Chief Scientist Transcrypt International, Inc. [email protected] August , Introduction The fundamental concept of digital communication is to move digital information from one point to another over an analog channel. More specifically, passband dig- ital communication involves modulating the amplitude, phase or frequency of an analog carrier signal with a baseband information-bearing signal. By definition, fre- quency is the time derivative of phase; therefore, we may generalize phase modula- tion to include frequency modulation. Ordinarily, the carrier frequency is much greater than the symbol rate of the modulation, though this is not always so. In many digital communications systems, the analog carrier is at a radio frequency (RF), hundreds or thousands of MHz, with information symbol rates of many megabaud. In other systems, the carrier may be at an audio frequency, with symbol rates of a few hundred to a few thousand baud. Although this paper primarily relies on examples from the latter case, the concepts are applicable to the former case as well. Given a sinusoidal carrier with frequency: fc , we may express a digitally-modulated passband signal, S(t), as: S(t) A(t)cos(2πf t θ(t)), () = c + where A(t) is a time-varying amplitude modulation and θ(t) is a time-varying phase modulation. For digital phase modulation, we only modulate the phase of the car- rier, θ(t), leaving the amplitude, A(t), constant. BPSK We will begin our discussion of digital phase modulation with a review of the fun- damentals of binary phase shift keying (BPSK), the simplest form of digital phase modulation. -
Bandwidth Scaling of a Phase-Modulated CW Comb Through Four-Wave Mixing in a Silicon Nano-Waveguide
Chalmers Publication Library Bandwidth scaling of a phase-modulated CW comb through four-wave mixing in a silicon nano-waveguide This document has been downloaded from Chalmers Publication Library (CPL). It is the author´s version of a work that was accepted for publication in: Optics Letters (ISSN: 0146-9592) Citation for the published paper: Liu, Y. ; Metcalf, A. ; Torres Company, V. (2014) "Bandwidth scaling of a phase-modulated CW comb through four-wave mixing in a silicon nano-waveguide". Optics Letters, vol. 39(22), pp. 6478-6481. Downloaded from: http://publications.lib.chalmers.se/publication/208731 Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source. Please note that access to the published version might require a subscription. Chalmers Publication Library (CPL) offers the possibility of retrieving research publications produced at Chalmers University of Technology. It covers all types of publications: articles, dissertations, licentiate theses, masters theses, conference papers, reports etc. Since 2006 it is the official tool for Chalmers official publication statistics. To ensure that Chalmers research results are disseminated as widely as possible, an Open Access Policy has been adopted. The CPL service is administrated and maintained by Chalmers Library. (article starts on next page) Bandwidth scaling of a phase-modulated CW comb through four-wave mixing in a silicon nano-waveguide Yang Liu,1* Andrew J. Metcalf,1 Victor Torres Company,1,2 Rui Wu,1,3 Li Fan,1,4 Leo T. -
Module 3: Physical Layer
Module 3: Physical Layer Dr. Natarajan Meghanathan Associate Professor of Computer Science Jackson StateMeghanathan University Jackson, MS 39217 Copyrights Phone: 601-979-3661 E-mail: [email protected] Natarajan 1 Topics • 3.1 Signal Levels: Baud rate and Bit rate • 3.2 Channel Encoding Standards – RS-232 and Manchester Encoding – Delay during transmission • 3.3 Transmission Order of Bits and Bytes • 3.4 Modulation Techniques – Amplitude, Frequency and PhaseMeghanathan modulation • 3.5 Multiplexing Techniques – TDMA, FDMA, StatisticalCopyrights Multiplexing and CDMA All Natarajan 2 Meghanathan Copyrights All Natarajan 3.1 Signal Levels: Baud Rate and Bit Rate Analog and Digital Signals • Data communications deals with two types of information: – analog – digital • An analog signal is characterized by a continuous mathematical function – when the input changes from one value to the next, it does so by movingMeghanathan through all possible intermediate values Copyrights • A digital signal has a fixed set of All valid levels Natarajan – each change consists of an instantaneous move from one valid level to another 4 Digital Signals and Signal Levels • Some systems use voltage to represent digital values – by making a positive voltage correspond to a logical one – and zero voltage correspond to a logical zero • For example, +5 volts can be used for a logical one and 0 volts for a logical zero • If only two levels of voltage are used – each level corresponds to one data bit (0 or 1). • Some physical transmission mechanismsMeghanathan -
Performance of Coherent Direct Sequence Spread Spectrum
PERFORMANCE OF COHERENT DIRECT SEQUENCE SPREAD SPECTRUM FREQUENCY SHIFT KEYING A thesis presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirements for the degree Master of Science Sudhir Kumar Sunkara November 2005 This thesis entitled PERFORMANCE OF COHERENT DIRECT SEQUENCE SPREAD SPECTRUM FREQUENCY SHIFT KEYING by SUDHIR KUMAR SUNKARA has been approved for the School of Electrical Engineering and Computer Science and the Russ College of Engineering and Technology by David W. Matolak Associate Professor of Electrical Engineering and Computer Science Dennis Irwin Dean, Russ College of Engineering and Technology SUNKARA, SUDHIR KUMAR. M.S. November 2005. Electrical Engineering and Computer Science Performance of Coherent Direct Sequence Spread Spectrum Frequency Shift Keying (83pp.) Director of Thesis: David W. Matolak We analyze the performance of a multi-user coherently-detected direct sequence spread spectrum frequency shift keying modulated system. Detection is done with respect to an arbitrary user. We derive bit error probability expressions for both synchronous and asynchronous systems. For the synchronous system, we analyze different variations of the system in order to ensure orthogonality. Orthogonality is achieved via both frequency separation and orthogonal codes. In the asynchronous system, orthogonality is achieved only through frequency separation. The channel impairments considered were additive white Gaussian noise and multi-user interference. We then extend this to a Rayleigh fading channel, and provide analytical and simulation results for single user and multi- user cases. We also analyzed the spectral characteristics of these systems. Approved: David W. Matolak Associate Professor of Electrical Engineering and Computer Science Acknowledgements I would like to thank my thesis advisor Dr. -
Amplitude and Frequency/Phase Modulation
Amplitude and Frequency/Phase Modulation I always had difficulties in understanding frequency modulation (FM) and its frequency spectrum. Even for the pure tone modulation, the FM spectrum consists of an infinite number of sidebands whose signs change from one sideband to the next one and whose amplitudes are given by the horrible Bessel functions. I work for Zurich Instruments, a Swiss maker of lock-in amplifiers and it has become a professional inclination to always think in terms of demodulation. The pictorial representation of AM/FM that I like comes with a (pictorial) digression on lock-in demodulation. Reader not interested in demodulation should read only Sect. 1.1.3 and Sect. 1.21 1.1 Lock-in Demodulation as a Change to a Rotating Frame of Reference A lock-in amplifier can find the amplitude AS and phase 'S of an input signal of the type VS(t) = AS cos(!St + 'S): (1.1) by a process called demodulation. The existing literature explains demodulation with the multiplication of the input signal by sine and cosine of the reference phase, also referred to as the in-phase and quadrature of the reference: this reflects the low level implementation of the scheme (it is a real multiplication) but I could never really understand it. I prefer more a different explanation using complex numbers: first I will present the math, then an equivalent pictorial representation. 1.1.1 Demodulation of the Signal: a Mathematical Approach The signal of eq. (1.1) can also be written in the complex plane as the sum of two vectors (phasors), AS each one of length 2 -
Constant Envelope Multiplexing of Multi-Carrier DSSS Signals Considering Sub-Carrier Frequency Constraint
electronics Article Constant Envelope Multiplexing of Multi-Carrier DSSS Signals Considering Sub-Carrier Frequency Constraint Xiaofei Chen 1,2,3,*, Xiaochun Lu 1,2,3, Xue Wang 1,2,3,* , Jing Ke 1,2,3 and Xia Guo 1 1 National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China; [email protected] (X.L.); [email protected] (J.K.); [email protected] (X.G.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 Key Laboratory of Precision Navigation and Timing Technology, National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China * Correspondence: [email protected] (X.C.); [email protected] (X.W.) Abstract: With the development of global navigation satellite systems (GNSS), multiple signals mod- ulated on different sub-carriers are needed to provide various services and to ensure compatibility with previous signals. As an effective method to provide diversified signals without introducing the nonlinear distortion of High Power Amplifier (HPA), the multi-carrier constant envelope mul- tiplexing is widely used in satellite navigation systems. However, the previous method does not consider the influence of sub-carrier frequency constraint on the multiplexing signal, which may lead to signal power leakage. By determining the signal states probability according to the sub-carrier frequency constraint and solving the orthogonal bases according to the homogeneous equations, this article proposed multi-carrier constant envelope multiplexing methods based on probability and homogeneous equations. The analysis results show that the methods can multiplex multi-carrier signals without power leakage, thereby reducing the impact on signal ranging performance.