Title
Joint signal detection and recovery via Blind Signal Separation
Abstract
Blind Signal Separation has the ability of recovering the desired signals from array inputs with an information of the source number. Based on the multistage constant modulus (CM) array, a new method was proposed to detect and recover the desired signals simultaneously. A detector based on the Generalized Likelihood Ratio Test (GLRT) was included in each stage CM array to determine the final stage. In this way, the source number does not need to be pre-estimated, which was pre-required in conventional multistage CM array algorithm to determine the order of the system. Close form expressions of the false alarm and detection probabilities were presented in this paper. Numerical examples were conducted to illustrate the effectiveness of the proposed joint signal detection and recovery method.
Year
DOI
Venue
2010
10.1109/WCINS.2010.5541890
WCNIS
Keywords
Field
DocType
cm array,glrt detector,blind signal separation,unknown source number,signal detection,signal to noise ratio,sun,blind source separation,detectors,information geometry,testing,generalized likelihood ratio test
Information geometry,False alarm,Likelihood-ratio test,Detection theory,Computer science,Signal-to-noise ratio,Algorithm,Speech recognition,Detector,Blind signal separation,Source separation,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-5850-9
1
0.47
References 
Authors
3
4
Name
Order
Citations
PageRank
Jie Zhuo110.47
Chao Sun2235.71
Yixin Yang33311.80
Bing Li4194.71