Phase Noise in Oscillators
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An Integrated Low Phase Noise Radiation-Pressure-Driven Optomechanical Oscillator Chipset
OPEN An integrated low phase noise SUBJECT AREAS: radiation-pressure-driven OPTICS AND PHOTONICS NANOSCIENCE AND optomechanical oscillator chipset TECHNOLOGY Xingsheng Luan1, Yongjun Huang1,2, Ying Li1, James F. McMillan1, Jiangjun Zheng1, Shu-Wei Huang1, Pin-Chun Hsieh1, Tingyi Gu1, Di Wang1, Archita Hati3, David A. Howe3, Guangjun Wen2, Mingbin Yu4, Received Guoqiang Lo4, Dim-Lee Kwong4 & Chee Wei Wong1 26 June 2014 Accepted 1Optical Nanostructures Laboratory, Columbia University, New York, NY 10027, USA, 2Key Laboratory of Broadband Optical 13 October 2014 Fiber Transmission & Communication Networks, School of Communication and Information Engineering, University of Electronic 3 Published Science and Technology of China, Chengdu, 611731, China, National Institute of Standards and Technology, Boulder, CO 4 30 October 2014 80303, USA, The Institute of Microelectronics, 11 Science Park Road, Singapore 117685, Singapore. High-quality frequency references are the cornerstones in position, navigation and timing applications of Correspondence and both scientific and commercial domains. Optomechanical oscillators, with direct coupling to requests for materials continuous-wave light and non-material-limited f 3 Q product, are long regarded as a potential platform for should be addressed to frequency reference in radio-frequency-photonic architectures. However, one major challenge is the compatibility with standard CMOS fabrication processes while maintaining optomechanical high quality X.L. (xl2354@ performance. Here we demonstrate the monolithic integration of photonic crystal optomechanical columbia.edu); Y.H. oscillators and on-chip high speed Ge detectors based on the silicon CMOS platform. With the generation of (yh2663@columbia. both high harmonics (up to 59th order) and subharmonics (down to 1/4), our chipset provides multiple edu) or C.W.W. -
Analysis and Design of Wideband LC Vcos
Analysis and Design of Wideband LC VCOs Axel Dominique Berny Robert G. Meyer Ali Niknejad Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2006-50 http://www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-50.html May 12, 2006 Copyright © 2006, by the author(s). All rights reserved. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission. Analysis and Design of Wideband LC VCOs by Axel Dominique Berny B.S. (University of Michigan, Ann Arbor) 2000 M.S. (University of California, Berkeley) 2002 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering and Computer Sciences in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, BERKELEY Committee in charge: Professor Robert G. Meyer, Co-chair Professor Ali M. Niknejad, Co-chair Professor Philip B. Stark Spring 2006 Analysis and Design of Wideband LC VCOs Copyright 2006 by Axel Dominique Berny 1 Abstract Analysis and Design of Wideband LC VCOs by Axel Dominique Berny Doctor of Philosophy in Electrical Engineering and Computer Sciences University of California, Berkeley Professor Robert G. Meyer, Co-chair Professor Ali M. Niknejad, Co-chair The growing demand for higher data transfer rates and lower power consumption has had a major impact on the design of RF communication systems. -
Modeling the Impact of Phase Noise on the Performance of Crystal-Free Radios Osama Khan, Brad Wheeler, Filip Maksimovic, David Burnett, Ali M
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—II: EXPRESS BRIEFS, VOL. 64, NO. 7, JULY 2017 777 Modeling the Impact of Phase Noise on the Performance of Crystal-Free Radios Osama Khan, Brad Wheeler, Filip Maksimovic, David Burnett, Ali M. Niknejad, and Kris Pister Abstract—We propose a crystal-free radio receiver exploiting a free-running oscillator as a local oscillator (LO) while simulta- neously satisfying the 1% packet error rate (PER) specification of the IEEE 802.15.4 standard. This results in significant power savings for wireless communication in millimeter-scale microsys- tems targeting Internet of Things applications. A discrete time simulation method is presented that accurately captures the phase noise (PN) of a free-running oscillator used as an LO in a crystal- free radio receiver. This model is then used to quantify the impact of LO PN on the communication system performance of the IEEE 802.15.4 standard compliant receiver. It is found that the equiv- alent signal-to-noise ratio is limited to ∼8 dB for a 75-µW ring oscillator PN profile and to ∼10 dB for a 240-µW LC oscillator PN profile in an AWGN channel satisfying the standard’s 1% PER specification. Index Terms—Crystal-free radio, discrete time phase noise Fig. 1. Typical PN plot of an RF oscillator locked to a stable crystal frequency modeling, free-running oscillators, IEEE 802.15.4, incoherent reference. matched filter, Internet of Things (IoT), low-power radio, min- imum shift keying (MSK) modulation, O-QPSK modulation, power law noise, quartz crystal (XTAL), wireless communication. -
All You Need to Know About SINAD Measurements Using the 2023
applicationapplication notenote All you need to know about SINAD and its measurement using 2023 signal generators The 2023A, 2023B and 2025 can be supplied with an optional SINAD measuring capability. This article explains what SINAD measurements are, when they are used and how the SINAD option on 2023A, 2023B and 2025 performs this important task. www.ifrsys.com SINAD and its measurements using the 2023 What is SINAD? C-MESSAGE filter used in North America SINAD is a parameter which provides a quantitative Psophometric filter specified in ITU-T Recommendation measurement of the quality of an audio signal from a O.41, more commonly known from its original description as a communication device. For the purpose of this article the CCITT filter (also often referred to as a P53 filter) device is a radio receiver. The definition of SINAD is very simple A third type of filter is also sometimes used which is - its the ratio of the total signal power level (wanted Signal + unweighted (i.e. flat) over a broader bandwidth. Noise + Distortion or SND) to unwanted signal power (Noise + The telephony filter responses are tabulated in Figure 2. The Distortion or ND). It follows that the higher the figure the better differences in frequency response result in different SINAD the quality of the audio signal. The ratio is expressed as a values for the same signal. The C-MES signal uses a reference logarithmic value (in dB) from the formulae 10Log (SND/ND). frequency of 1 kHz while the CCITT filter uses a reference of Remember that this a power ratio, not a voltage ratio, so a 800 Hz, which results in the filter having "gain" at 1 kHz. -
Noise Tutorial Part IV ~ Noise Factor
Noise Tutorial Part IV ~ Noise Factor Whitham D. Reeve Anchorage, Alaska USA See last page for document information Noise Tutorial IV ~ Noise Factor Abstract: With the exception of some solar radio bursts, the extraterrestrial emissions received on Earth’s surface are very weak. Noise places a limit on the minimum detection capabilities of a radio telescope and may mask or corrupt these weak emissions. An understanding of noise and its measurement will help observers minimize its effects. This paper is a tutorial and includes six parts. Table of Contents Page Part I ~ Noise Concepts 1-1 Introduction 1-2 Basic noise sources 1-3 Noise amplitude 1-4 References Part II ~ Additional Noise Concepts 2-1 Noise spectrum 2-2 Noise bandwidth 2-3 Noise temperature 2-4 Noise power 2-5 Combinations of noisy resistors 2-6 References Part III ~ Attenuator and Amplifier Noise 3-1 Attenuation effects on noise temperature 3-2 Amplifier noise 3-3 Cascaded amplifiers 3-4 References Part IV ~ Noise Factor 4-1 Noise factor and noise figure 4-1 4-2 Noise factor of cascaded devices 4-7 4-3 References 4-11 Part V ~ Noise Measurements Concepts 5-1 General considerations for noise factor measurements 5-2 Noise factor measurements with the Y-factor method 5-3 References Part VI ~ Noise Measurements with a Spectrum Analyzer 6-1 Noise factor measurements with a spectrum analyzer 6-2 References See last page for document information Noise Tutorial IV ~ Noise Factor Part IV ~ Noise Factor 4-1. Noise factor and noise figure Noise factor and noise figure indicates the noisiness of a radio frequency device by comparing it to a reference noise source. -
Next Topic: NOISE
ECE145A/ECE218A Performance Limitations of Amplifiers 1. Distortion in Nonlinear Systems The upper limit of useful operation is limited by distortion. All analog systems and components of systems (amplifiers and mixers for example) become nonlinear when driven at large signal levels. The nonlinearity distorts the desired signal. This distortion exhibits itself in several ways: 1. Gain compression or expansion (sometimes called AM – AM distortion) 2. Phase distortion (sometimes called AM – PM distortion) 3. Unwanted frequencies (spurious outputs or spurs) in the output spectrum. For a single input, this appears at harmonic frequencies, creating harmonic distortion or HD. With multiple input signals, in-band distortion is created, called intermodulation distortion or IMD. When these spurs interfere with the desired signal, the S/N ratio or SINAD (Signal to noise plus distortion ratio) is degraded. Gain Compression. The nonlinear transfer characteristic of the component shows up in the grossest sense when the gain is no longer constant with input power. That is, if Pout is no longer linearly related to Pin, then the device is clearly nonlinear and distortion can be expected. Pout Pin P1dB, the input power required to compress the gain by 1 dB, is often used as a simple to measure index of gain compression. An amplifier with 1 dB of gain compression will generate severe distortion. Distortion generation in amplifiers can be understood by modeling the amplifier’s transfer characteristic with a simple power series function: 3 VaVaVout=−13 in in Of course, in a real amplifier, there may be terms of all orders present, but this simple cubic nonlinearity is easy to visualize. -
Understanding Phase Error and Jitter: Definitions, Implications
This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS–I: REGULAR PAPERS 1 Understanding Phase Error and Jitter: Definitions, Implications, Simulations, and Measurement Ian Galton , Fellow, IEEE, and Colin Weltin-Wu, Member, IEEE (Invited Paper) Abstract— Precision oscillators are ubiquitous in modern elec- multiplication by a sinusoidal oscillator signal whereas most tronic systems, and their accuracy often limits the performance practical mixer circuits perform multiplication by squared-up of such systems. Hence, a deep understanding of how oscillator oscillator signals. Fundamental questions typically are left performance is quantified, simulated, and measured, and how unanswered such as: How does the squaring-up process change it affects the system performance is essential for designers. the oscillator error? How does multiplying by a squared-up Unfortunately, the necessary information is spread thinly across oscillator signal instead of a sinusoidal signal change a mixer’s the published literature and textbooks with widely varying notations and some critical disconnects. This paper addresses this behavior and response to oscillator error? problem by presenting a comprehensive one-stop explanation of Another obstacle to learning the material is that there are how oscillator error is quantified, simulated, and measured in three distinct oscillator error metrics in common use: phase practice, and the effects of oscillator error in typical oscillator error, jitter, and frequency stability. Each metric offers advan- applications. tages in certain applications, so it is important to understand Index Terms— Oscillator phase error, phase noise, jitter, how they relate to each other, yet with the exception of [1], frequency stability, Allan variance, frequency synthesizer, crystal, the authors are not aware of prior publications that provide phase-locked loop (PLL). -
Receiver Sensitivity and Equivalent Noise Bandwidth Receiver Sensitivity and Equivalent Noise Bandwidth
11/08/2016 Receiver Sensitivity and Equivalent Noise Bandwidth Receiver Sensitivity and Equivalent Noise Bandwidth Parent Category: 2014 HFE By Dennis Layne Introduction Receivers often contain narrow bandpass hardware filters as well as narrow lowpass filters implemented in digital signal processing (DSP). The equivalent noise bandwidth (ENBW) is a way to understand the noise floor that is present in these filters. To predict the sensitivity of a receiver design it is critical to understand noise including ENBW. This paper will cover each of the building block characteristics used to calculate receiver sensitivity and then put them together to make the calculation. Receiver Sensitivity Receiver sensitivity is a measure of the ability of a receiver to demodulate and get information from a weak signal. We quantify sensitivity as the lowest signal power level from which we can get useful information. In an Analog FM system the standard figure of merit for usable information is SINAD, a ratio of demodulated audio signal to noise. In digital systems receive signal quality is measured by calculating the ratio of bits received that are wrong to the total number of bits received. This is called Bit Error Rate (BER). Most Land Mobile radio systems use one of these figures of merit to quantify sensitivity. To measure sensitivity, we apply a desired signal and reduce the signal power until the quality threshold is met. SINAD SINAD is a term used for the Signal to Noise and Distortion ratio and is a type of audio signal to noise ratio. In an analog FM system, demodulated audio signal to noise ratio is an indication of RF signal quality. -
AN10062 Phase Noise Measurement Guide for Oscillators
Phase Noise Measurement Guide for Oscillators Contents 1 Introduction ............................................................................................................................................. 1 2 What is phase noise ................................................................................................................................. 2 3 Methods of phase noise measurement ................................................................................................... 3 4 Connecting the signal to a phase noise analyzer ..................................................................................... 4 4.1 Signal level and thermal noise ......................................................................................................... 4 4.2 Active amplifiers and probes ........................................................................................................... 4 4.3 Oscillator output signal types .......................................................................................................... 5 4.3.1 Single ended LVCMOS ........................................................................................................... 5 4.3.2 Single ended Clipped Sine ..................................................................................................... 5 4.3.3 Differential outputs ............................................................................................................... 6 5 Setting up a phase noise analyzer ........................................................................................................... -
Advanced Bridge (Interferometric) Phase and Amplitude Noise Measurements
Advanced bridge (interferometric) phase and amplitude noise measurements Enrico Rubiola∗ Vincent Giordano† Cite this article as: E. Rubiola, V. Giordano, “Advanced interferometric phase and amplitude noise measurements”, Review of Scientific Instruments vol. 73 no. 6 pp. 2445–2457, June 2002 Abstract The measurement of the close-to-the-carrier noise of two-port radiofre- quency and microwave devices is a relevant issue in time and frequency metrology and in some fields of electronics, physics and optics. While phase noise is the main concern, amplitude noise is often of interest. Presently the highest sensitivity is achieved with the interferometric method, that consists of the amplification and synchronous detection of the noise sidebands after suppressing the carrier by vector subtraction of an equal signal. A substantial progress in understanding the flicker noise mecha- nism of the interferometer results in new schemes that improve by 20–30 dB the sensitivity at low Fourier frequencies. These schemes, based on two or three nested interferometers and vector detection of noise, also feature closed-loop carrier suppression control, simplified calibration, and intrinsically high immunity to mechanical vibrations. The paper provides the complete theory and detailed design criteria, and reports on the implementation of a prototype working at the carrier frequency of 100 MHz. In real-time measurements, a background noise of −175 to −180 dB dBrad2/Hz has been obtained at f = 1 Hz off the carrier; the white noise floor is limited by the thermal energy kB T0 referred to the carrier power P0 and by the noise figure of an amplifier. Exploiting correlation and averaging in similar conditions, the sensitivity exceeds −185 dBrad2/Hz at f = 1 Hz; the white noise floor is limited by thermal uniformity rather than by the absolute temperature. -
Analysis of Oscillator Phase-Noise Effects on Self-Interference Cancellation in Full-Duplex OFDM Radio Transceivers
Revised manuscript for IEEE Transactions on Wireless Communications 1 Analysis of Oscillator Phase-Noise Effects on Self-Interference Cancellation in Full-Duplex OFDM Radio Transceivers Ville Syrjälä, Member, IEEE, Mikko Valkama, Member, IEEE, Lauri Anttila, Member, IEEE, Taneli Riihonen, Student Member, IEEE and Dani Korpi Abstract—This paper addresses the analysis of oscillator phase- recently [1], [2], [3], [4], [5]. Such full-duplex radio noise effects on the self-interference cancellation capability of full- technology has many benefits over the conventional time- duplex direct-conversion radio transceivers. Closed-form solutions division duplexing (TDD) and frequency-division duplexing are derived for the power of the residual self-interference stemming from phase noise in two alternative cases of having either (FDD) based communications. When transmission and independent oscillators or the same oscillator at the transmitter reception happen at the same time and at the same frequency, and receiver chains of the full-duplex transceiver. The results show spectral efficiency is obviously increasing, and can in theory that phase noise has a severe effect on self-interference cancellation even be doubled compared to TDD and FDD, given that the in both of the considered cases, and that by using the common oscillator in upconversion and downconversion results in clearly SI problem can be solved [1]. Furthermore, from wireless lower residual self-interference levels. The results also show that it network perspective, the frequency planning gets simpler, is in general vital to use high quality oscillators in full-duplex since only a single frequency is needed and is shared between transceivers, or have some means for phase noise estimation and uplink and downlink. -
Topic 5: Noise in Images
NOISE IN IMAGES Session: 2007-2008 -1 Topic 5: Noise in Images 5.1 Introduction One of the most important consideration in digital processing of images is noise, in fact it is usually the factor that determines the success or failure of any of the enhancement or recon- struction scheme, most of which fail in the present of significant noise. In all processing systems we must consider how much of the detected signal can be regarded as true and how much is associated with random background events resulting from either the detection or transmission process. These random events are classified under the general topic of noise. This noise can result from a vast variety of sources, including the discrete nature of radiation, variation in detector sensitivity, photo-graphic grain effects, data transmission errors, properties of imaging systems such as air turbulence or water droplets and image quantsiation errors. In each case the properties of the noise are different, as are the image processing opera- tions that can be applied to reduce their effects. 5.2 Fixed Pattern Noise As image sensor consists of many detectors, the most obvious example being a CCD array which is a two-dimensional array of detectors, one per pixel of the detected image. If indi- vidual detector do not have identical response, then this fixed pattern detector response will be combined with the detected image. If this fixed pattern is purely additive, then the detected image is just, f (i; j) = s(i; j) + b(i; j) where s(i; j) is the true image and b(i; j) the fixed pattern noise.