Abstract | ||
---|---|---|
Frequency estimation of a tonal signal in passive sonar systems is crucial to the identification of the marine object. In the conventional techniques, a basis mismatch error caused by the discretization of the frequency domain is unavoidable, resulting in a severe degradation of the object detection quality. To overcome the basis mismatch error, we propose a tonal frequency estimation technique in the continuous frequency domain. Towards this end, we formulate the frequency estimation problem as an atomic norm minimization problem. From the numerical experiments, we show that the proposed technique is effective in identifying the tonal frequency components of marine objects. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1186/s13634-019-0641-5 | EURASIP Journal on Advances in Signal Processing |
Keywords | DocType | Volume |
Passive sonar, Tonal signal detection, Atomic norm minimization | Journal | 2019 |
Issue | ISSN | Citations |
1 | 1687-6180 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
JinHong Kim | 1 | 17 | 4.59 |
Junhan Kim | 2 | 9 | 4.55 |
Luong Trung Nguyen | 3 | 7 | 3.51 |
Byonghyo Shim | 4 | 937 | 88.51 |
wooyoung hong | 5 | 7 | 3.20 |