Name
Title | ||
|---|---|---|
DOA estimation using a sparse uniform linear array with two CW signals of co-prime frequencies |
Abstract | ||
|---|---|---|
In this paper, we propose the use of a sparse uniform linear array to estimate the direction-of-arrival (DOA) of more sources than the number of sensors by exploiting two continuous wave signals whose frequencies satisfy a certain co-prime relationship. This extends the co-prime array and filter concept, which was developed in either the spectral or spatial domain, to a joint spatio-spectral domain, thereby achieving high flexibility in array structure design to meet the degrees-of-freedom and system complexity constraints. The DOA estimation is implemented in the difference co-array context to avoid spatial undersampling, and group sparsity based compressive sensing techniques are used to determine the direction of signal arrivals. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CAMSAP.2013.6714093 | Computational Advances in Multi-Sensor Adaptive Processing |
Keywords | Field | DocType |
array signal processing,compressed sensing,direction-of-arrival estimation,CW signals,DOA estimation,co-prime frequencies,co-prime relationship,continuous wave signals,direction-of-arrival estimation,group sparsity based compressive sensing techniques,joint spatio-spectral domain,sparse uniform linear array,Co-prime array,DOA estimation,compressive sensing,group sparsity,sparse array | Continuous wave,Array data structure,Computer science,Sensor array,Undersampling,Algorithm,Speech recognition,Coprime integers,Compressed sensing | Conference |
ISBN | Citations | PageRank |
978-1-4673-3144-9 | 17 | 1.14 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yimin Zhang | 1 | 1536 | 130.17 |
| Moeness Amin | 2 | 2909 | 287.79 |
| Fauzia Ahmad | 3 | 651 | 64.26 |
| Braham Himed | 4 | 686 | 57.96 |