Calculation of the Performance of Communication Systems from Measured Oscillator Phase Noise
Journal article, 2014

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.

Phase-Locked Loop

Voltage-controlled Oscillator

Phase Noise

Error Vector Magnitude.

Bayesian Cram\'{e}r-Rao Bound

Colored Phase Noise

Communication System Performance

Author

M Reza Khanzadi

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

Dan Kuylenstierna

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

Ashkan Panahi

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Thomas Eriksson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Herbert Zirath

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

IEEE Transactions on Circuits and Systems I: Regular Papers

1549-8328 (ISSN)

Vol. 61 5 1553-1565 6693756

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Electrical Engineering, Electronic Engineering, Information Engineering

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TCSI.2013.2285698

More information

Created

10/7/2017