Name
Abstract | ||
|---|---|---|
In complex electromagnetic environments, the challenge of signal sorting task for multi-function radars (MFRs) with various work modes has arisen. The previous methods are prone to cause the so-called “increasing batch” problem, which means that the work modes of one MFR may be sorted into multiple emitters. In this letter, a MFR signal sorting method based on complex network is proposed to tackle the problem mentioned above. The novel method utilizes limited penetrable visibility graph to construct the network from interleaved radar pulse sequences, then employs label propagation algorithm and density peak clustering to detect community structures, thus fulfilling deinterleaving of pulses from several MFRs. Simulation results show that the proposed method is effective to alleviate the “increasing batch” problem, and is also robust under non-ideal conditions. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LSP.2020.3044259 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Community detection,complex network,multi-function radar,signal sorting | Journal | 28 |
Issue | ISSN | Citations |
99 | 1070-9908 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kun Chi | 1 | 0 | 0.34 |
| Jihong Shen | 2 | 0 | 0.34 |
| Jun Guo | 3 | 7 | 3.24 |
| Chunjie Li | 4 | 3 | 3.24 |
| Sheng Wang | 5 | 0 | 0.34 |