Name
Abstract | ||
|---|---|---|
FM-based passive bistatic radar (PBR) systems suffer from low range resolution because of the low baseband bandwidth of commercial FM broadcasts. In this paper, we propose a range resolution improvement method using deconvolution. The output of the PBR matched filter is processed using a deconvolution algorithm which assumes that targets are isolated, i.e., sparse in the range domain. The deconvolution algorithm is iterative and was implemented by performing successive orthogonal projections onto supporting hyperplanes of the epigraph set of a convex cost function. Simulation examples are presented. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11760-016-0959-5 | Signal, Image and Video Processing |
Keywords | Field | DocType |
Passive radar, Range resolution, Deconvolution | Computer vision,Baseband,Blind deconvolution,Deconvolution,Bandwidth (signal processing),Bistatic radar,Artificial intelligence,Matched filter,Epigraph,Passive radar,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 8 | 1863-1711 |
Citations | PageRank | References |
3 | 0.50 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Musa Tunç Arslan | 1 | 3 | 1.17 |
| Mohammad Tofighi | 2 | 65 | 8.74 |
| A. Enis Çetin | 3 | 871 | 118.56 |