Name
Abstract | ||
|---|---|---|
Compressive sensing (CS) idea enables the reconstruction of a sparse signal from small number of measurements. CS approach has many applications in many areas. One of the areas is radar systems. In this article, the radar ambiguity function is denoised within the CS framework. A new denoising method on the projection onto the epigraph set of the convex function is also developed for this purpose. This approach is compared to the other CS reconstruction algorithms. Experimental results are presented. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SIU.2014.6830624 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
Doppler radar,compressed sensing,radar signal processing,radar target recognition,signal reconstruction,compressive sensing,convex function,denoising method,range Doppler radar target detection,sparse signal reconstruction,Ambiguity Function,Compressive Sensing,Radar Signal Processing | Radar,Ambiguity function,Computer vision,Doppler radar,Signal processing,Radar imaging,Computer science,Convex function,Artificial intelligence,Compressed sensing,Signal reconstruction | Conference |
ISSN | Citations | PageRank |
2165-0608 | 2 | 0.41 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rasim Akin Sevimli | 1 | 13 | 2.47 |
| Mohammad Tofighi | 2 | 2 | 0.41 |
| A. Enis Çetin | 3 | 871 | 118.56 |