scholarly journals A Spectral Model for RF Oscillators With Power-Law Phase Noise

Author(s):  
A. Chorti ◽  
M. Brookes
2010 ◽  
Vol 2010 ◽  
pp. 1-4 ◽  
Author(s):  
Arsenia Chorti

Numerous empirical data demonstrate that real noisy RF oscillators are affected by power-law phase noise. However, until recently, the robust analytic modeling of the deep-into-the-carrier spectral regime of RF oscillators was intangible due to the infinities involved in the relevant power-law regions. In this letter we demonstrate how recent advances in oscillator spectral modeling can be applied to extrapolate the near-to-the-carrier regime as well as estimate the oscillator lower knee frequency of transition between the deep-into-the-carrier regime and the power-law regions of real RF oscillators.


2013 ◽  
Author(s):  
Federico Pepe ◽  
Andrea Bonfanti ◽  
Salvatore Levantino ◽  
Paolo Maffezzoni ◽  
Carlo Samori ◽  
...  

2020 ◽  
Vol 29 (2) ◽  
pp. 129-131 ◽  
Author(s):  
Ming-Huang Li ◽  
Ruochen Lu ◽  
Tomas Manzaneque ◽  
Songbin Gong

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 767 ◽  
Author(s):  
Xiaolong Chen ◽  
Cuiling Peng ◽  
Huiting Huan ◽  
Fushun Nian ◽  
Baoguo Yang

In conventional phase noise metrology, the phase noise of an oscillator is measured by instruments equipped with specialized and sophisticated devices. Such hardware-based testing usually requires high-performance and costly apparatuses. In this paper, we carried out a novel phase noise measurement method based on a mathematical model. The relationship between the phase noise of a radio frequency oscillator and its power spectral density (PSD) was established, different components of the power law phase noise were analyzed in the frequency domain with their characteristic parameters. Based on the complete physical model of an oscillator, we fitted and extracted the parameters for the near-carrier Gaussian and the power law PSD with Levenberg-Marquardt optimization algorithm. The fitted parameters were used to restore the power law phase noise with considerable precision. Experimental validation showed an excellent agreement between the estimation from the proposed method and the data measured by a high-performance commercial instrument. This methodology can be potentially used to realize fast and simple phase noise measurement and reduce the overall cost of hardware.


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