S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Electrical and Computer Engineering (전기·정보공학부) Journal Papers (저널논문_전기·정보공학부)
Tonal signal detection in passive sonar systems using atomic norm minimization
- Kim, Jinhong; Kim, Junhan; Nguyen, Luong Trung; Shim, Byonghyo; Hong, Wooyoung
- Issue Date
- Springer Open
- EURASIP Journal on Advances in Signal Processing, 2019(1):43
- 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.