Name
Title | ||
|---|---|---|
Blind detection of the number of communication signals under spatially correlated noise by ICA and K-S tests |
Abstract | ||
|---|---|---|
The issue addressed in this paper is the determination of the number of communication signals in a sensor array. Most of the available algorithms rely on the spatial uncorrelation of the additive noise. In practice, this condition is rarely sat- isfied when the receivers are not sufficiently spaced (MIMO communications for example). In this paper, we propose a new method to detect the number of communication signals based on the fact that the signals are independent and non gaussian and that the background noise is gaussian. By us- ing an Independent Component Analysis in conjunction with Kolomogorov-Smirnov (K-S) tests, the method can detect as many communication signals as the number of receiver an- tennas. Simulations results show that our method performs well in many environments like those with spatially correlated noise. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICASSP.2008.4518130 | Las Vegas, NV |
Keywords | Field | DocType |
array signal processing,correlation methods,independent component analysis,signal detection,ICA test,K-S test,Kolomogorov-Smirnov test,additive noise,blind detection,communication signals detection,independent component analysis,sensor array,spatial uncorrelation,spatially correlated noise,Electronic Warfare,MIMO Systems,Signal Detection | Background noise,Detection theory,Pattern recognition,Computer science,Sensor array,MIMO,Gaussian,Artificial intelligence,Independent component analysis,Electronic warfare,Gaussian noise | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-1484-0 | 978-1-4244-1484-0 | 7 |
PageRank | References | Authors |
0.50 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| V. Choqueuse | 1 | 143 | 9.66 |
| Koffi Yao | 2 | 7 | 0.50 |
| L. Collin | 3 | 78 | 4.13 |
| Gilles Burel | 4 | 297 | 113.35 |