Name
Title | ||
|---|---|---|
Signal Parameter Extraction via Component Cancellation Using Evolutionary Programming |
Abstract | ||
|---|---|---|
In this paper, a novel direction of arrival (DOA) estimation scheme is proposed. The proposed algorithm, called the signal parameter extraction via component cancellation (SPECC), is an evolutionary optimization-based method and extracts the amplitudes of signal sources and DOA impinging on a sensor array in a step-by-step procedure, different from other algorithms such as MUSIC, root-MUSIC, ESPRIT, etc., which extract those parameters at the same time. Our algorithm has robustness to noise and high resolution in DOA estimation. In the simulation, comparisons with root-MUSIC, which has been known as one of the best algorithms, are presented to illustrate the superiority of the proposed SPECC algorithm. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/FGCN.2007.200 | FGCN (2) |
Keywords | DocType | ISBN |
doa estimation,component cancellation,best algorithm,estimation scheme,doa impinging,signal parameter extraction,evolutionary optimization-based method,proposed algorithm,evolutionary programming,proposed specc algorithm,signal source,feature extraction,sensor array,high resolution,evolutionary computation,direction of arrival | Conference | 0-7695-3048-6 |
Citations | PageRank | References |
1 | 0.38 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| In-Sik Choi | 1 | 3 | 2.79 |
| Ill-Keun Rhee | 2 | 69 | 4.85 |
| Young-Hoon Lee | 3 | 1 | 0.38 |