Multiple-Antenna Spectrum Sensing Method With Random Arrivals of Primary Users

This correspondence proposes a novel multiple-antenna linearly weighted (MALW) spectrum sensing method with random arrivals of primary users (PUs) for cognitive users. The method first constructs a local test statistic for each antenna based on the assumption that the PU is randomly arriving, and th...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2018-09, Vol.67 (9), p.8978-8983
Main Authors: Wang, Jun, Chen, Riqing, Huang, Jiwei, Shu, Feng, Chen, Zhe, Min, Geyong
Format: Article
Language:English
Subjects:
Antennas
Arrivals
Cognitive radio
Copper
Detection
Electronic mail
energy detection
Estimating techniques
False alarms
Gaussian distribution
Mathematical analysis
multiple antenna
Random variables
Sensors
Signal to noise ratio
spectrum sensing
Statistical analysis
Statistical tests
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:This correspondence proposes a novel multiple-antenna linearly weighted (MALW) spectrum sensing method with random arrivals of primary users (PUs) for cognitive users. The method first constructs a local test statistic for each antenna based on the assumption that the PU is randomly arriving, and then calculates the estimated optimum coefficient for every local test statistic and finally gets the total test statistic by linearly combing the local test statistics and the estimated optimum coefficients. Given false alarm probability, the proposed method calculates the corresponding threshold according to Neyman-Pearson criteria and makes the final decision by comparing the total test statistic with the threshold. Simulation results prove the validity and the superiority of the proposed MALW method when the PU is arriving randomly during the spectrum sensing period.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2018.2846052