Name
Abstract | ||
|---|---|---|
We present the design and hardware implementation of a radar prototype that demonstrates the principle of a sub-Nyquist collocated multiple-input multiple-output (MIMO) radar. The setup allows sampling in both spatial and spectral domains at rates much lower than dictated by the Nyquist sampling theorem. Our prototype realizes an X-band MIMO radar that can be configured to have a maximum of 8 transmit and 10 receive antenna elements. We use frequency division multiplexing (FDM) to achieve the orthogonality of MIMO waveforms and apply the Xampling framework for signal recovery. The prototype also implements a cognitive transmission scheme where each transmit waveform is restricted to those pre-determined subbands of the full signal bandwidth that the receiver samples and processes. Real-time experiments show reasonable recovery performance while operating as a 4 × 5 thinned random array wherein the combined spatial and spectral sampling factor reduction is 87.5% of that of a filled 8 × 10 array. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CoSeRa.2016.7745699 | 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa) |
Keywords | Field | DocType |
MIMO radar,sub-Nyquist,compressed sensing,collocated,cognitive radar | Radar,Radar engineering details,Continuous-wave radar,3G MIMO,Frequency-division multiplexing,MIMO,Bandwidth (signal processing),Computer hardware,Mathematics,Spatial multiplexing | Journal |
Volume | ISBN | Citations |
abs/1608.01524 | 978-1-5090-2921-1 | 4 |
PageRank | References | Authors |
0.42 | 12 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kumar Vijay Mishra | 1 | 164 | 19.95 |
| Eli Shoshan | 2 | 164 | 9.75 |
| Moshe Namer | 3 | 17 | 2.37 |
| M. Meltsin | 4 | 7 | 1.59 |
| David Cohen | 5 | 7 | 0.80 |
| Ron Madmoni | 6 | 4 | 0.42 |
| Shahar Dror | 7 | 4 | 0.42 |
| Robert Ifraimov | 8 | 4 | 0.42 |
| Y. C. Eldar | 9 | 6399 | 458.37 |