Name
Abstract | ||
|---|---|---|
The application of iterative compressed sensing algorithms for automotive radar is often considered as too complex for real-time evaluation. In this paper, it is shown that the number of required iterations can be chosen considerable low. To determine the necessary steps, a quality criterion is evaluated. The two examined scenarios are a reduced data rate and an interference mitigation. Measurement results are shown for different numbers of iterations to verify the sufficient reconstruction capabilities. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/RWS.2019.8714419 | 2019 IEEE Radio and Wireless Symposium (RWS) |
Keywords | Field | DocType |
automotive radar,iterative compressed sensing algorithms,interference mitigation | Automotive engineering,Computer science,Automotive radar,Compressed sensing | Conference |
ISSN | ISBN | Citations |
2164-2958 | 978-1-5386-5945-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabian Roos | 1 | 0 | 0.68 |
| Philipp Hugler | 2 | 0 | 0.68 |
| Jonathan Bechter | 3 | 0 | 0.34 |
| Muhammad Ahsan Razzaq | 4 | 0 | 0.34 |
| Christina Knill | 5 | 0 | 0.68 |
| Nils Appenrodt | 6 | 21 | 5.49 |
| Jürgen Dickmann | 7 | 83 | 14.07 |
| C. Waldschmidt | 8 | 18 | 6.30 |