The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method

The paper discusses the hybrid sensing method and presents the hybrid detector (HD) which improves the sensing performance. The proposed HD takes advantage of the energy detection (ED) and a method based on the Covariance Absolute Value (CAV) or Cyclic Autocorrelation Function (CAF). The paper chara...

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Bibliographic Details
Published in:EAI endorsed transactions on cognitive communications 2017-12, Vol.3 (12), p.153474-7
Main Authors: Kustra, M., Kosmowski, K., Suchanski, M.
Format: Article
Language:English
Subjects:
Autocorrelation functions
Computer simulation
Covariance
Covariance Absolute Value
Cyclic Autocorrelation Function
Density
Detection
Hybrid detector
Noise
noise uncertainty
OFDM
Orthogonal Frequency Division Multiplexing
Parameter uncertainty
sensing
SNR Wall
WiMAX
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Summary:The paper discusses the hybrid sensing method and presents the hybrid detector (HD) which improves the sensing performance. The proposed HD takes advantage of the energy detection (ED) and a method based on the Covariance Absolute Value (CAV) or Cyclic Autocorrelation Function (CAF). The paper characterizes the limitations of the use of ED resulting from the uncertainty of spectral density of noise power estimation known as ‘SNR Wall’. The paper describes the system model and presents the simulation results for OFDM signal (Orthogonal Frequency Division Multiplexing) of WiMAX system. The simulation results refer to the ideal case of an environment with well-known parameters and for an environment with the uncertainty of spectral density of noise power estimation, as it has been considered in the literature so far.
ISSN:2313-4534
2313-4534
DOI:10.4108/eai.13-12-2017.153474