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Performance of Hybrid Sensing Method in Environment with Noise Uncertainty, Journal of Telecommunications and Information Technology, 2018, nr 1
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Title: Performance of Hybrid Sensing Method in Environment with Noise Uncertainty, Journal of Telecommunications and Information Technology, 2018, nr 1

Autor:

Kosmowski Krzysztof ; Kustra Mateusz ; Suchański Marek

Data wydania:

2018

Typ zasobu:

artykuł

Opis:

The paper presents a novel hybrid spectrum sensing method used in cognitive radio and presents a hybrid detector (HD) which improves the sensing performance. The proposed HD takes advantage of the energy detection (ED) principle and a method based on Covariance Absolute Value (CAV), as well as on Cyclic Autocorrelation Function (CAF). The paper shows the limitations of using ED, resulting from the uncertainty of spectral density of noise power estimation, known as the SNR wall. The paper describes a system model and presents simulation results for the OFDM signal of a WiMAX-based communications system. The simulation results refer to an ideal environment with well-known parameters, and to an environment with uncertain spectral density of noise power estimation.

Wydawca:

National Institute of Telecommunications

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2017

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

WiMAX OFDM noise uncertainty Covariance Absolute Value Cyclic Autocorrelation Function hybrid detector SNR wall

Object collections:

Last modified:

25 lut 2026

In our library since:

15 maj 2018

Number of object content hits:

101

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2298

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Edition name Date
Kustra Mateusz; Kosmowski Krzysztof; Suchański Marek, Performance of Hybrid Sensing Method in Environment with Noise Uncertainty, Journal of Telecommunications and Information Technology, 2018, nr 1 25 lut 2026

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