Name
Abstract | ||
|---|---|---|
We propose a compressive radar that uses single bit quantization of the received noisy signal. The one-bit quantization is performed by a comparator with a time-varying reference level. The problem is studied through a sparse method, leading to an optimization problem which can be solved numerically. Simulation results show that the proposed method has a promising performance. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS | Compressive sampling, one-bit quantization, pulse radar |
Field | DocType | ISSN |
Radar,Pulse-Doppler radar,Comparator,Computer science,Signal-to-noise ratio,Electronic engineering,Sampling (statistics),Quantization (signal processing),Optimization problem | Conference | 1058-6393 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Li | 1 | 1414 | 79.27 |
| Mohammad Mahdi Naghsh | 2 | 74 | 9.80 |
| Sayed Jalal Zahabi | 3 | 30 | 4.67 |
| Mahmoud Modarres-Hashemi | 4 | 60 | 6.36 |