Title
Tonal signal detection in passive sonar systems using atomic norm minimization
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 Kim1174.59
Junhan Kim294.55
Luong Trung Nguyen373.51
Byonghyo Shim493788.51
wooyoung hong573.20