Name
Abstract | ||
|---|---|---|
This paper addresses the problem of blind source separation for both independent and dependent sources. Signals in wireless communication system usually own a bounded nature, in view of this observation, a method based on bounded component analysis (BCA) for communication signals separation is proposed. The normalized convex perimeter is adopted as the contrast function and the algorithm is further optimized by a gradient decent algorithm. Experimental results show that the proposed algorithm outperforms the existent BCA algorithms and obtains superior performance over the state of art independent component analysis (ICA)-based algorithms for a small number of samples in high SNR scenarios. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICCChinaW.2018.8674470 | 2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) |
Keywords | Field | DocType |
Signal to noise ratio,Interference,Blind source separation,Conferences,Programmable logic arrays,Binary phase shift keying | Gradient descent,Computer science,Signal-to-noise ratio,Algorithm,Dependent source,Divergence (statistics),Real-time computing,Independent component analysis,Component analysis,Blind signal separation,Bounded function | Conference |
ISSN | ISBN | Citations |
2377-8644 | 978-1-5386-7011-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liu Yang | 1 | 0 | 0.34 |
| hang zhang | 2 | 31 | 16.05 |
| Yang Cai | 3 | 6 | 6.51 |
| Liming Hu | 4 | 0 | 0.34 |