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An Analytic Circuit-Based Model for White and Flicker Phase Noise in LC Oscillators Jayanta Mukherjee, Patrick Roblin, Member, IEEE, and Siraj Akhtar, Member, IEEE

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An Analytic Circuit-Based Model for White and Flicker Phase Noise in LC Oscillators Jayanta Mukherjee, Patrick Roblin, Member, IEEE, and Siraj Akhtar, Member, IEEE 1584 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR PAPERS, VOL. 54, NO. 7, JULY 2007 An Analytic Circuit-Based Model for White and Flicker Phase Noise in LC Oscillators Jayanta Mukherjee, Patrick Roblin, Member, IEEE, and Siraj Akhtar, Member, IEEE Abstract—A general circuit-based model of LC oscillator phase causes a number of undesirable effects like inter-channel in- noise applicable to both white noise and I noise is presented. terference, increased bit-error rate (BER) and synchronization Using the Kurokawa theory, differential equations governing the problem in digital systems. With complex modulation schemes relationship between amplitude and phase noise at the tank are de- rived and solved. Closed form equations are obtained for the IEEE like orthogonal frequency-division multiplexing (OFDM), the oscillator phase noise for both white and I noise. These solu- requirement of spectral purity becomes ever more stringent. tions introduce new parameters which take into account the corre- Hence, achieving good phase noise performance and the means lation between the amplitude noise and phase noise and link them to model it becomes important. to the oscillator circuit operating point. These relations are then A significant amount of work has been done in the field of used to obtain the final expression for Voltage noise power density across the output oscillator terminals assuming the noise can be phase noise characterization. Early models like those of Leeson modeled by stationary Gaussian processes. For white noise, gen- propose a linear time-invariant (LTI) model of phase noise eral conditions under which the phase noise relaxes to closed-form [2], [3]. These models tend to depict a dependence of Lorentzian spectra are derived for two practical limiting cases. voltage-spectral density thereby implying infinite noise power Further, the buffer noise in oscillators is examined. The forward near the harmonics [1]. These models provide some limited contribution of the buffer to the white noise floor for large offset frequency is expressed in terms of the buffer noise parameters. The insight into noise analysis and oscillator design. These sim- backward contribution of the buffer to the I P oscillator noise plified models do not give us a complete understanding of the is also quantified. To model flicker noise, the Kurokawa theory is oscillator noise spectrum. In order to improve the performance extended by modeling each I noise perturbation in the oscillator of the models, some approaches incorporated a linear time as a small-signal dc perturbation of the oscillator operating point. variant model of noise [4], [5]. These models give us a better A trap-level model of flicker noise is used for the analysis. Condi- tions under which the resulting flicker noise relaxes to an I Q explanation of certain portions of the frequency spectrum (like phase noise distribution are derived. The proposed model is then the region of an oscillator spectrum arising from applied to a practical differential oscillator. A novel method of noise and the corner frequency between the and analysis, splitting the noise contribution of the various transistors regions). However, these models rely on complex functions into modes is introduced to calculate the Kurokawa noise parame- which are difficult to compute in practical oscillators. Also the ters. The modes that contribute the most to white noise and flicker noise are identified. Further, the tail noise contribution is analyzed correlation factor between amplitude and phase fluctuations is and shown to be mostly up-converted noise. The combined white neglected. and flicker noise model exhibits the presence of a number of corner In a detailed paper on oscillator noise [6], Kaertner resolves frequencies whose values depend upon the relative strengths of the the oscillator response into phase and magnitude components. various noise components. The proposed model is compared with a A differential equation was obtained for the phase error. A sim- popular harmonic balance simulator and a reasonable agreement is obtained in the respective range of validity of the simulator and ilar effort was made in [1] where the oscillator response is de- theory. The analytical theory presented which relies on measurable scribed in terms of a phase deviation and an additive component circuit parameters provides valuable insight for oscillator perfor- called orbital deviation. Both [6] and [1] obtained the correct mance optimization as is discussed in the paper. Lorentzian spectrum for the power-spectral density (PSD) due Index Terms—Correlation, flicker noise, Kurokawa, Lorentzian, to white noise. However, neither of these models is circuit fo- noise floor, phase noise, traps, uncorrelated modes, white noise. cused, and limited insight is therefore provided to the circuit de- signer. In summary though considerable work has been done in I. INTRODUCTION the field of oscillator noise analysis, to our knowledge no theory SCILLATOR phase noise is an important design criterion provides a circuit based approach using simple easy-to-measure Oin any communication system [1]. The reciprocal mixing parameters to describe the phase noise. of oscillator phase noise with signal noise in RF transceivers In this paper, we first develop differential equations for the amplitude and phase deviations treating noise as a perturbation. Manuscript received April 17, 2006; revised September 27, 2006. This work The fact that an oscillator can be linearized about its operating was supported in part by a Texas Instruments Fellowship. This paper was rec- ommended by Associate Editor B. C. Levy. point is very much a valid concept as has been demonstrated in J. Mukherjee was with the Department of Electrical and Computer Engi- numerous papers [7]. We rely on the Kurokawa theory [8] for neering, Ohio State University, Columbus, OH 43210 USA. He is now with the this purpose. The advantage of this approach is that it gives us a Department of Electrical Engineering, Indian Institute of Technology, Mumbai 400076, India circuit focus and thus enables us to incorporate the circuit based P.RobliniswiththeDepartmentofElectricalandComputerEngineering,Ohio parameters into the phase noise equations. We shall provide a State University, Columbus, OH 43210 USA (e-mail: [email protected]). more rigorous treatment of noise due to both phase and ampli- S. Akhtar is with the RFIC design group of Texas Instruments, Dallas TX 75243 USA. tude deviations with due consideration for correlation existing Digital Object Identifier 10.1109/TCSI.2007.898673 between the two [9]. In addition, most models, while giving de- 1549-8328/$25.00 © 2007 IEEE MUKHERJEE et al.: ANALYTIC CIRCUIT-BASED MODEL FOR WHITE AND FLICKER PHASE NOISE 1585 scriptions of oscillator phase noise do not account for the circuit buffer noise. In this paper we show how the buffer noise can be incorporated in the noise model to account for the oscillator noise floor while also contributing in part to the colored oscil- lator noise spectrum. While white noise can be easily represented both in time as well as frequency domains, noise is not so easy to charac- terize. The fact that this noise has a frequency dependence Fig. 1. Admittance model of an oscillator. implies that at , the noise power is infinite. Many re- searchers [6], [10] have postulated stationary process models or where and are obtained from in Fig. 1 using piecewise-stationary models to simplify the phase noise deriva- tions. In our approach we will start our analysis at a single device trap level and then extend it for all traps as shown in [11]. (3) In oscillators, noise has a tendency to get up-converted and produce a noise spectrum. To analyze the impact of noise on the oscillator we note that since the noise (4) process is significant only at very low frequencies, the perturba- tion it causes to oscillation is equivalent to the perturbation of the dc bias of the devices involved. As we shall see, this model Note that the processes and are similar to Ornstein–Uhlen- will help us in obtaining an analytical solution. The method- bech processes [13] except that they are correlated. The term ology used will further, enable us to take into consideration, the accounts for the correlation between and (i.e., if correlation between the phase and amplitude deviations due to there is no correlation). The terms and noise which has been neglected in previous work. which represent the variation of the admittances with perturba- Finally, we combine the expressions for phase noise due to tions, are given by white noise, flicker noise and buffer noise in one single closed form analytical expression and compare the model so obtained (5) with harmonic balance simulation results. (6) II. NONLINEAR PERTURBATION ANALYSIS OF A OSCILLATOR Fig. 1 shows a negative resistance oscillator model. The basic oscillator has been divided into a linear frequency sensitive This is a more general treatment than in [8] which uses a part (having admittance ) and a nonlinear or device frequency independent . If the voltage across the tank part (which is both frequency and amplitude sensitive and is given by has admittance given by ). In a conventional LC oscillator, the linear part usually represents the tank. For all derivations henceforth we shall consider the tank to be a parallel circuit. In steady state, in the absence of noise and other then the autocorrelation of the voltage for stationary Gaussian perturbing signals, the operating point ( , ) is given by noise processes is given by (see derivation in Appendix II) (7) represents an equivalent noise source which arises due and represent the autocorrelation functions of to noise sources in both the linear and the nonlinear parts of the amplitude deviation and the phase , respectively. As the oscillator circuit and which will be extracted in the example is verified in Appendix III, and are stationary pro- shown later. It can be shown (Appendix I) that the phase and cesses for the noise processes considered in this paper under the amplitude deviation obey the following assumption that the oscillator is on for a long enough time.
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