Name
Abstract | ||
|---|---|---|
In this paper, we describe a new algorithm for radar detection based on the Hough transform which employs the slope-intercept parameter space. Unlike the conventional Hough transform, we shift the parameter space cells to perform the transform. The computation burden is reduced. Another advantage is that those straight lines whose intercept are bigger than the radar maximum range can also be detected. In addition, we also investigate the performance of the algorithm we present and show its efficiency with some simulations. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1142/S0218126610006281 | JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS |
Keywords | Field | DocType |
Radar detection,Hough transform,fast algorithm | Radar,Radar detection,Scale-invariant feature transform,Computer vision,Computer science,Algorithm,Hough transform,Electronic engineering,Parameter space,Artificial intelligence,S transform,Computation | Journal |
Volume | Issue | ISSN |
19 | 3 | 0218-1266 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||