Name
Title | ||
|---|---|---|
Complex-valued ICA utilizing signal-subspace demixing for robust DOA estimation and blind signal separation |
Abstract | ||
|---|---|---|
This paper deals with direction of arrival (DOA) estimation and blind signal separation (BSS) based on independent component analysis (ICA) with robust capabilities. An efficient demixing procedure of complex-valued ICA is presented here, which combines the signal-subspace demixing procedure exploiting individual signal-subspace projection and Newton's iteration algorithm based on maximization of the approximate negentropy of non-Gaussian signal for array signal processing. It resolves the problems of order ambiguity and identifiability of traditional ICA for time-domain BSS. The proposed method could be directly applied to radar, sonar, radio surveillance, and communications systems for separating signals and estimating relative DOAs of signals. Several computer simulation examples for perturbations to the array manifold, unknown noise environments, and Rayleigh fading channel are provided to illustrate the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s11277-007-9317-9 | Wireless Personal Communications |
Keywords | Field | DocType |
direction of arrival,computer simulation,antenna array,time domain,communication system,blind signal separation,independent component analysis,iterative algorithm | Signal processing,Negentropy,Computer science,Direction of arrival,Sensor array,Antenna array,Algorithm,Speech recognition,Real-time computing,Independent component analysis,Signal subspace,Blind signal separation | Journal |
Volume | Issue | ISSN |
43 | 4 | 0929-6212 |
Citations | PageRank | References |
2 | 0.40 | 23 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ann-Chen Chang | 1 | 51 | 15.70 |
| Chih-Wei Jen | 2 | 13 | 2.20 |