A novel design of algorithm and framework for decentralized CFAR signal detection without prior information

In this paper, a fusion detection algorithm that focuses on decentralized CFAR (Constant False Alarm Rate) signal detection problem without prior information is proposed. In the algorithm, the threshold and test statistic of the detection fusion algorithm derive from the conventional CFAR detection...

Full description

Saved in:
Bibliographic Details
Published in:MATEC web of conferences 2018-01, Vol.189, p.4006
Main Authors: Wang, Nan, Xu, Yunshan, Xia, Haibao, Wang, Jundi
Format: Article
Language:English
Subjects:
Algorithms
Constant false alarm rate
Signal detection
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a fusion detection algorithm that focuses on decentralized CFAR (Constant False Alarm Rate) signal detection problem without prior information is proposed. In the algorithm, the threshold and test statistic of the detection fusion algorithm derive from the conventional CFAR detection method. At last a framework for decentralized CFAR signal detection is designed corresponding to the fusion algorithm. Simulation results illustrate that an almost optimal detection performance is obtained by the proposed algorithm.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201818904006