Statistical covariance blind detection algorithm based on cholesky factorization in cognitive radio network
As the blind covariance detection algorithm has the shortcoming that the performance parameters are obtained using non-asymptotic method,a new blind detection algorithm was presented using cholesky factorization.Utilizing random matrix theory,the performance parameters was derived using non-asymptot...
Saved in:
Main Authors: | Ying-xue LI, Shu-qun SHEN, Lang-tao HU, Qiu-cai WANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2012-11-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.015/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network
by: Yingxue Li, et al.
Published: (2015-11-01) -
Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix
by: Xuemei YANG, et al.
Published: (2017-09-01) -
A test on the location of tangency portfolio for small sample size and singular covariance matrix
by: Svitlana Drin, et al.
Published: (2024-07-01) -
Minimum Variance Beamforming Based on Covariance Matrix Reconstruction Using Orthogonal Vectors
by: Saman Rezaeizadeh, et al.
Published: (2023-09-01) -
Covariance matrix opportunistic cooperative spectrum sensing of high detection probability
by: Shunlan LIU, et al.
Published: (2019-01-01)