Name
Abstract | ||
|---|---|---|
A closed-form array response estimation (CARE) technique for blind source separation in wireless communication is developed. By exploiting the data structure of second-order statistics of the array output in the presence of multipath, we construct a signature matrix in such a way that its eigenvectors corresponding to non-zero eigenvalues are just the array response vectors. Thus a closed-form solution of array response can be obtained by eigen-decomposition. The theoretical analysis and the simulations show that the proposed method achieves array response estimation with little constraint on signal property and propagation environment such as scatters or angular spread. Moreover, the array considered here can be of arbitrary geometry and even uncalibrated. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/ICASSP.1999.761372 | ICASSP |
Keywords | Field | DocType |
blind closed-form array response,closed-form array response estimation,array output,angular spread,data structure,wireless communication,arbitrary geometry,array response vector,blind source separation,closed-form solution,array response,array response estimation,signal analysis,eigenvalues,scattering,mobile communication,closed form solution,eigen decomposition,statistics,eigenvectors,statistical analysis,data structures,multipath | Multipath propagation,Sparse array,Wireless,Signature matrix,Computer science,Sensor array,Theoretical computer science,Array gain,Artificial intelligence,Blind signal separation,Data structure,Pattern recognition,Algorithm | Conference |
ISSN | ISBN | Citations |
1520-6149 | 0-7803-5041-3 | 4 |
PageRank | References | Authors |
0.62 | 6 | 3 |