Name
Abstract | ||
|---|---|---|
Modern radar systems are expected to operate reliably in congested environments. A candidate technology for meeting these demands is frequency agile radar (FAR), which randomly changes its carrier frequencies. FAR is known to improve the electronic counter-countermeasures (ECCM) performance while facilitating operation in congested setups. To enhance the target recovery performance of FAR in complex electromagnetic environments, we propose two radar schemes extending FAR to multi-carrier waveforms. The first is Wideband Multi-carrier Agile Radar (WMAR), which transmits/receives wideband waveforms simultaneously with every antenna. To mitigate the demanding hardware requirements associated with wideband waveforms used by WMAR, we next propose multi-Carrier AgilE phaSed Array Radar (CAESAR). CAESAR uses narrowband monotone waveforms, thus facilitating ease of implementation of the system, while introducing spatial agility. We characterize the transmitted and received signals of the proposed schemes, and develop an algorithm for recovering the targets, based on concepts from compressed sensing to estimate the range-Doppler parameters of the targets. We then derive conditions which guarantee their accurate reconstruction. Our numerical study demonstrates that both multi-carrier schemes improve performance compared to FAR while maintaining its practical benefits. We also demonstrate that the performance of CAESAR, which uses monotone waveforms, is within a small gap from the wideband radar. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2020.3026186 | IEEE TRANSACTIONS ON SIGNAL PROCESSING |
Keywords | DocType | Volume |
Radar, Radar antennas, Wideband, Narrowband, Phased arrays, Transmitting antennas, Frequency agile radar, compressed sensing, multi-carrier agility | Journal | 68 |
ISSN | Citations | PageRank |
1053-587X | 0 | 0.34 |
References | Authors | |
12 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianyao Huang | 1 | 0 | 0.68 |
| Nir Shlezinger | 2 | 134 | 29.27 |
| Xingyu Xu | 3 | 3 | 2.41 |
| Dingyou Ma | 4 | 32 | 3.13 |
| Yimin Liu | 5 | 158 | 25.46 |
| Y. C. Eldar | 6 | 6399 | 458.37 |