Adaptation of the power spectral density of a pseudorandom Gaussian noise to the real radio-frequency noise of the ISM band

• Autorzy: Nikonowicz J. , Jessa M.
• Języki publikacji: EN

Abstrakty

EN

Nowadays, simulation is a key part of the development and evaluation of every wireless system, while additive, white Gaussian noise (AWGN) is the basic noise model used in the created simulation models. Although the pseudorandom AWGN is the most common substitution of distortions used in the transmission models, it may differ significantly from the background noise recorded by the real radio receiver. In this paper authors present measurements of the real radio-frequency (RF) background noise of industrial, scientific and medical (ISM) band and analyze the differences between real and pseudorandom noise. The authors also propose polynomial adaptive equations that reduce the differences between pseudorandom and real RF noise power spectral densities. Using the given equations allows for better mapping of the real disturbances of the ISM band without the need for a prior noise measurements.

Słowa kluczowe

EN

radio-frequency noise measurement; ISM background noise; additive white Gaussian noise; pseudorandom noise adaptation

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2018
• Tom: Vol. 64, No. 2
• Strony: 37--39
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Nikonowicz J.

• Faculty of Electronics and Telecommunications Poznan University of Technology, 3 Polanka St., 61-131 Poznań, Poland

autor

Jessa M.

• Faculty of Electronics and Telecommunications Poznan University of Technology, 3 Polanka St., 61-131 Poznań, Poland

Bibliografia

• [1] Cover T., Thomas J.: Elements of Information Theory. John Wiley & Sons, New Jersey, USA, 2001.
• [2] Costello D., Forney, G.: Channel Coding: The Road to Channel Capacity. Proceedings of the IEEE, vol. 95, no. 6, pp. 1150-1177, 2007.
• [3] Malaspina C.: An Epistemology of Noise. Bloomsbury Academic, London, UK, 2018.
• [4] Dargie W., Poellabauer C.: Fundamentals of Wireless Sensor Networks: Theory and Practice. John Wiley & Sons, New Jersey, USA, 2010.
• [5] Lee H., Cerpa A., Levis P.: Improving Wireless Simulation Through Noise Modeling. Proceedings of 6th International Symposium on Information Processing in Sensor Networks (IPSN’07), Cambridge, USA, pp. 21-30, 2007.
• [6] Zepernick H., Finger A.: Pseudo Random Signal Processing: Theory and Application. John Wiley & Sons, New Jersey, USA, 2005.
• [7] NI USRP-2900 Specifications, National Instruments, revised 17 May 2017, available online: http://www.ni.com/documentation/en/ software-defined-radio-device/latest/specs-usrp-2900/specs.
• [8] Press W., Teukolsky S., Vetterling W., Flannery B.: Numerical Recipes: The Art of Scientific Computing. Cambridge University Press, New York, USA, 2007.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).