Intrinsic Mode Function Based Noise Power Estimation With Applications to Semiblind Spectrum Sensing Methods

In this letter, an algorithm is proposed to blindly estimate the noise power embedded in a received signal and use the knowledge of the noise power to upgrade semiblind spectrum sensors to blind sensors. The proposed noise estimator is based on a relationship between the noise power of a received si...

Full description

Saved in:
Bibliographic Details
Published in:IEEE signal processing letters 2017-07, Vol.24 (7), p.1088-1092
Main Authors: Al-Badrawi, Mahdi H., Kirsch, Nicholas J., Al-Jewad, Bessam Z.
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Detection
Detectors
Eigenvalues and eigenfunctions
Empirical mode decomposition (EMD)
Estimation
intrinsic mode functions (IMFs)
Noise
Noise measurement
noise power estimation
Noise prediction
semiblind detectors
Sensors
Signal to noise ratio
spectrum sensing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this letter, an algorithm is proposed to blindly estimate the noise power embedded in a received signal and use the knowledge of the noise power to upgrade semiblind spectrum sensors to blind sensors. The proposed noise estimator is based on a relationship between the noise power of a received signal and the power of the first mode of the empirical mode decomposition algorithm. Simulations and results demonstrate an enhancement of the detectors performance in contrast with their conventional semiblind versions.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2017.2710883