Name
Abstract | ||
|---|---|---|
Quadrature compressive sampling (QuadCS) is a newly introduced sub-Nyquist sampling for acquiring inphase and quadrature components of radio-frequency signals. This paper develops a target detection scheme of pulsed-type radars in the presence of digital radio frequency memory (DRFM) repeat jammers with the radar echoes sampled by the QuadCS system. For diversifying pulses, the proposed scheme first separates the target echoes from the DRFM repeat jammers using CS recovery algorithms, and then removes the jammers to perform the target detection. Because of the separation processing, the jammer leakage through range sidelobe variation of the classical match-filter processing will not appear. Simulation results confirm our findings. The proposed scheme with the data at one eighth the Nyquist rate outperforms the classic processing with Nyquist samples in the presence of DRFM repeat jammers. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICDSP.2015.7251833 | 2015 IEEE International Conference on Digital Signal Processing (DSP) |
Keywords | Field | DocType |
Compressed sensing,Quadrature sampling,DRFM repeat jammers,Deceptive electronic-counter measures | Telecommunications,Computer science,Digital radio frequency memory,Artificial intelligence,Nyquist–Shannon sampling theorem,Compressed sensing,Radar jamming and deception,Radar,Computer vision,Algorithm,Sampling (statistics),Jamming,Nyquist rate | Conference |
ISSN | Citations | PageRank |
1546-1874 | 0 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Liu | 1 | 0 | 0.68 |
| Feng Xi | 2 | 44 | 11.75 |
| Shengyao Chen | 3 | 65 | 13.93 |
| Zhong Liu | 4 | 4 | 2.75 |