Frequency line extraction on low SNR lofargram using principal component analysis
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Frequency line extraction on low SNR lofargram using principal component analysis |
| Type de publication | Conference Paper |
| Year of Publication | 2018 |
| Auteurs | Zhang H, Li C, Wang H, Wang J, Yang F |
| Editor | Baozong Y, Qiuqi R, Yao Z, Gaoyun AN |
| Conference Name | PROCEEDINGS OF 2018 14TH IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) |
| Publisher | IEEE; Inst Engn & Technol; Union Radio Sci Int; Chinese Inst Elect; Beijing Jiaotong Univ; IEEE Beijing Sect; Inst Engn & Technol Beijing Branch; Natl Nat Sci Fdn China; CIE Signal Proc Soc; IEEE Signal Proc Soc Beijing Chapter; IEEE Comp Soc Beijing Chap |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-4673-1 |
| Mots-clés | frequency line tracking, Lofargram, passive detection, principal component analysis, spectrum line feature |
| Résumé | Frequency line tracking in a lofragram is usually challenged by the strong background noise in passive sonar systems. This paper proposes a principle component analysis based lofargram analysis method for multiple frequency line tracking. The simulation and experiment are conducted by a set of simulation data and a set of ship noise data recorded on the South Sea of China, respectively. The results demonstrate that our method can provide more spectrum information than the reference methods by enhancing the weak frequency lines seriously interrupted by the background noise. |