Calculation of the Performance of Communication Systems from Measured Oscillator Phase Noise

Abstract

Oscillator phase noise (PN) is one of the major problems that affect the performance of communication systems. In this paper, a direct connection between oscillator measurements, in terms of measured single-side band PN spectrum, and the optimal communication system performance, in terms of the resulting error vector magnitude (EVM) due to PN, is mathematically derived and analyzed. First, a statistical model of the PN, considering the effect of white and colored noise sources, is derived. Then, we utilize this model to derive the modified Bayesian Cramer-Rao bound on PN estimation, and use it to find an EVM bound for the system performance. Based on our analysis, it is found that the influence from different noise regions strongly depends on the communication bandwidth, i.e., the symbol rate. For high symbol rate communication systems, cumulative PN that appears near carrier is of relatively low importance compared to the white PN far from carrier. Our results also show that 1/f^3 noise is more predictable compared to 1/f^2 noise and in a fair comparison it affects the performance less.

Accepted in IEEE Transactions on Circuits and Systems-I: Regular Papers

References in corpus (4)

• Soft metrics and their Performance Analysis for Optimal Data Detection in the Presence of Strong Oscillator Phase Noise
• Estimation of phase noise in oscillators with colored noise sources
• Effect of Synchronizing Coordinated Base Stations on Phase Noise Estimation
• On Wiener Phase Noise Channels at High Signal-to-Noise Ratio

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• Oscillator Phase Noise and Small-Scale Channel Fading in Higher Frequency Bands
• Discrete-time models and performance of phase noise channels
• A BP-MF-EP Based Iterative Receiver for Joint Phase Noise Estimation, Equalization and Decoding
• Comparing Iterative and Least-Squares Based Phase Noise Tracking in Receivers with 1-bit Quantization and Oversampling
• Performance Evaluation of LOS MIMO Systems under the Influence of Phase Noise