Evaluation of power spectral density of passive intermodulation distortion in high-power communication satellite systems

2005 ◽  
Vol 22 (2) ◽  
pp. 181-184 ◽  
Author(s):  
Shiquan Zhang ◽  
Debiao Ge
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
High Power ◽  
Intermodulation Distortion ◽  
Satellite Systems ◽  
Communication Satellite ◽  
Power Spectral ◽  
Passive Intermodulation

scholarly journals Validation of theα-μModel of the Power Spectral Density of GPS Ionospheric Amplitude Scintillation

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kelias Oliveira ◽  
Alison de Oliveira Moraes ◽  
Emanoel Costa ◽  
Marcio Tadeu de Assis Honorato Muella ◽  
Eurico Rodrigues de Paula ◽  
...  
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
Degrees Of Freedom ◽  
Solar Flux ◽  
Global Navigation Satellite Systems ◽  
Ionospheric Scintillation ◽  
Parameter Distribution ◽  
Satellite Systems ◽  
Amplitude Scintillation ◽  
Power Spectral

Theα-μmodel has become widely used in statistical analyses of radio channels, due to the flexibility provided by its two degrees of freedom. Among several applications, it has been used in the characterization of low-latitude amplitude scintillation, which frequently occurs during the nighttime of particular seasons of high solar flux years, affecting radio signals that propagate through the ionosphere. Depending on temporal and spatial distributions, ionospheric scintillation may cause availability and precision problems to users of global navigation satellite systems. The present work initially stresses the importance of the flexibility provided byα-μmodel in comparison with the limitations of a single-parameter distribution for the representation of first-order statistics of amplitude scintillation. Next, it focuses on the statistical evaluation of the power spectral density of ionospheric amplitude scintillation. The formulation based on theα-μmodel is developed and validated using experimental data obtained in São José dos Campos (23.1°S; 45.8°W; dip latitude 17.3°S), Brazil, located near the southern crest of the ionospheric equatorial ionization anomaly. These data were collected between December 2001 and January 2002, a period of high solar flux conditions. The results show that the proposed model fits power spectral densities estimated from field data quite well.

Research on power spectral density after nonlinear propagation in high-power solid state laser

2015 ◽  
Author(s):  
Wan-Qing Huang ◽  
Ying Zhang ◽  
Wen-Yi Wang ◽  
Yuan-Chao Geng ◽  
Lan-Qin Liu
Keyword(s):  
Solid State ◽  
Spectral Density ◽  
Power Spectral Density ◽  
High Power ◽  
Solid State Laser ◽  
Nonlinear Propagation ◽  
State Laser ◽  
Power Spectral

scholarly journals Power spectral density specifications for high-power laser systems

1996 ◽  
Author(s):  
Janice K. Lawson ◽  
David M. Aikens ◽  
R. Edward English, Jr. ◽  
C. Robert Wolfe
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
High Power ◽  
High Power Laser ◽  
Power Laser ◽  
Power Spectral ◽  
Laser Systems

scholarly journals Narrow linewidth fiber laser oscillator based on fiber bragg grating with high power spectral density

2022 ◽  
Vol 68 ◽  
pp. 102774
Author(s):  
Yusheng Huang ◽  
Ping Yan ◽  
Jingtao Xin ◽  
Dan Li ◽  
Yulun Wu ◽  
...  
Keyword(s):  
Spectral Density ◽  
Fiber Laser ◽  
Fiber Bragg Grating ◽  
Power Spectral Density ◽  
High Power ◽  
Bragg Grating ◽  
Narrow Linewidth ◽  
Laser Oscillator ◽  
Power Spectral

Low and High Broadband Spectral Models of Atmospheric Pressure Fluctuation

2021 ◽  
Author(s):  
Julien Marty ◽  
Benoit Doury ◽  
Alfred Kramer
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
High Power ◽  
Pressure Fluctuation ◽  
Pressure Fluctuations ◽  
Frequency Range ◽  
Measurement Systems ◽  
Power Spectral ◽  
Spectral Models ◽  
Wide Range

AbstractThis paper presents new low and high power spectral density models for pressure fluctuations at the Earth’s surface over the frequency range of (10−5 – 8) Hz. Previously proposed models often included limitations, such as a much narrower frequency range, the inclusion of erroneous and non-calibrated data or recorded data not deconvolved from the measurement system responses. The progress recently made with response modeling and field calibration of pressure fluctuation measurement systems now allows to propose more realistic power spectral density models over an extremely large frequency band. This paper describes how the data were selected, processed, and analyzed to obtain the final global models. In addition, the intermediate results allow the characterization of several atmospheric mechanisms, such as gravity wave saturation, limits of the buoyancy and acoustic cut-off frequencies or wind turbulence modes. The two proposed low and high power spectral density models are planned to be used for a wide range of applications, including assessing the quality of measured pressure fluctuations, verifying the validity of modeled pressure fluctuations and supporting the design, testing and calibration of a new generation of measurement systems. The models presented in this paper are made available to the scientific community.

scholarly journals Power spectral density method of defects on optical elements of high-power laser facility and its equivalent algorithm

2009 ◽  
Vol 58 (9) ◽  
pp. 6279
Author(s):  
Zhou Li-Dan ◽  
Su Jing-Qin ◽  
Li Ping ◽  
Liu Lan-Qin ◽  
Wang Wen-Yi ◽  
...  
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
High Power ◽  
High Power Laser ◽  
Power Laser ◽  
Optical Elements ◽  
Density Method ◽  
Power Spectral ◽  
Laser Facility ◽  
Spectral Density Method

scholarly journals Assessment of Various Window Functions in Spectral Identification of Passive Intermodulation

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1034
Author(s):  
Khaled Gharaibeh
Keyword(s):  
Spectral Density ◽  
Low Power ◽  
Power Spectral Density ◽  
Side Lobe ◽  
Frequency Separation ◽  
Side Lobe Level ◽  
Spectral Leakage ◽  
Window Functions ◽  
Power Spectral ◽  
Passive Intermodulation

Passive Intermodulation (PIM) distortion is a major problem in wireless communications which limits cell coverage and data rates. Passive nonlinearities result in weak intermodulation (IMD) products that are very difficult to diagnose, troubleshoot and model. To predict PIM, behavioral models are used where spectral components of PIM are estimated from the power spectral density at the output of the model. The primary goal of this paper is to study the effect of window functions on the capability of the power spectral density computed from the periodogram of signal realizations to predict low power PIM components in a wideband multichannel communication system. Different window functions are analyzed and it is shown that windows with high side-lobe level fail to predict PIM components which are close to the main channels due to their high spectral leakage; while window functions with low roll-off rate of the side lobes fail to predict low power higher order PIM components especially when the frequency separation between the main carriers is high. These results are supported by simulations of the power spectral density computed using signal realizations of an LTE carrier aggregated system.

Sign in / Sign up

Export Citation Format

Share Document