Name
Abstract | ||
|---|---|---|
This paper proposes a new two-dimensional direction finding algorithm for estimating multiple non-Gaussian signals using cumulants. This new algorithm: 1) employs an array geometry consisting of a nine-element non-uniformly spaced cross-shaped sub-array plus another arbitrarily-spaced sub-array; 2) defines five cumulant matrices, from which the signal direction cosines can be estimated by using parallel factor fitting, and hence, requiring no open-form two-dimensional searching and parameter pairing; 3) can achieve array aperture extension by jointly extending array physical aperture and constructing virtual sensors, without adding more sensors; and 4) can resolve 2(L - 4) signals with an array of L sensors in total. Simulation results are presented to verify the efficacy of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2018.2881258 | IEEE ACCESS |
Keywords | Field | DocType |
Array signal processing,direction finding,ESPRIT,parallel factor analysis,cumulant | Aperture,Direction finding,Computer science,Matrix (mathematics),Algorithm,Cumulant,Virtual sensors,Pairing,Direction finding algorithms,Direction cosine,Distributed computing | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Gu | 1 | 18 | 2.84 |
| Hong Hong | 2 | 30 | 8.34 |
| Xiaohua Zhu | 3 | 46 | 9.50 |
| Jing He | 4 | 93 | 14.67 |