The application of empirical mode decomposition in target-starting sound detection

Li, Guanfang; Zhao, Anbang; Jun-Ying, Hui; Sun, Guocang

doi:10.1109/vppc.2008.4677736

Cited by 3 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One can easily observe a similar phenomenon that a spike pulse appears approximately at 100 s of the curve after the 3rd transformation. Figures 2 and 3 illustrate that this novel method, compared with the empirical mode decomposition method [5], can detect the initial time of a lower SNR signal and realize the real-time detection at a time-domain resolution of 1 second. In Fig.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Method to Detect Initial Time of Weak Sinusoidal Signal Embedded in Non-stationary Noise

Chen

Yang

Xiong

et al. 2010

Circuits Syst Signal Process

View full text Add to dashboard Cite

The paper introduces a novel method to detect the initial time of a weak sinusoidal signal embedded in non-stationary noise and studies the performance of the method through numerical simulations. Furthermore, a proposed nonlinear function combined with time-frequency analysis can be used to effectively improve the signal-to-noise (SNR). Simulation results show that the method can rapidly detect the initial time of the weak analytical signal with a SNR lower than −54 dB and a time-domain resolution of only 1 second.

show abstract

Section: Resultsmentioning

confidence: 99%

“…Moreover, the analysis results in the literature are obtained in noise-free situation. Li [5] has studied a nonlinear empirical mode decomposition method, which can detect the initial time of a signal with a minimum SNR of −13 dB, but it is difficult to realize real-time detection.…”

mentioning

confidence: 99%

A Novel Method to Detect Initial Time of Weak Sinusoidal Signal Embedded in Non-stationary Noise

Chen

Yang

Xiong

et al. 2010

Circuits Syst Signal Process

View full text Add to dashboard Cite

show abstract

“…In order to solve the problem of target depth resolution in the very low frequency field, many scholars like Hui and Yu et al [ 27 , 28 , 29 , 30 , 31 ] proposed a cross-spectrum (between pressure and velocity) signal-processing algorithm to distinguish the surface targets and the underwater targets. Both the active component of the horizontal interactive complex acoustic intensity and the reactive component of the vertical interactive complex acoustic intensity in the low-frequency field can be used to identify target depth.…”

Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Target Depth-Resolution Method with a Single-Vector Sensor

Zhao

Jiang

et al. 2018

Sensors

Self Cite

View full text Add to dashboard Cite

This paper mainly studies and verifies the target number category-resolution method in multi-target cases and the target depth-resolution method of aerial targets. Firstly, target depth resolution is performed by using the sign distribution of the reactive component of the vertical complex acoustic intensity; the target category and the number resolution in multi-target cases is realized with a combination of the bearing-time recording information; and the corresponding simulation verification is carried out. The algorithm proposed in this paper can distinguish between the single-target multi-line spectrum case and the multi-target multi-line spectrum case. This paper presents an improved azimuth-estimation method for multi-target cases, which makes the estimation results more accurate. Using the Monte Carlo simulation, the feasibility of the proposed target number and category-resolution algorithm in multi-target cases is verified. In addition, by studying the field characteristics of the aerial and surface targets, the simulation results verify that there is only amplitude difference between the aerial target field and the surface target field under the same environmental parameters, and an aerial target can be treated as a special case of a surface target; the aerial target category resolution can then be realized based on the sign distribution of the reactive component of the vertical acoustic intensity so as to realize three-dimensional target depth resolution. By processing data from a sea experiment, the feasibility of the proposed aerial target three-dimensional depth-resolution algorithm is verified.

show abstract

Unequal Directivity Orders Between Two Figure-8 Sensors Perpendicularly Colocated With a Pressure Sensor – Their “Spatial Matched Filter” Beam Steering

Zheng,

Wong,

Nnonyelu

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

View full text Add to dashboard Cite

The application of empirical mode decomposition in target-starting sound detection

Cited by 3 publications

References 3 publications

A Novel Method to Detect Initial Time of Weak Sinusoidal Signal Embedded in Non-stationary Noise

A Novel Method to Detect Initial Time of Weak Sinusoidal Signal Embedded in Non-stationary Noise

A Three-Dimensional Target Depth-Resolution Method with a Single-Vector Sensor

Unequal Directivity Orders Between Two Figure-8 Sensors Perpendicularly Colocated With a Pressure Sensor – Their “Spatial Matched Filter” Beam Steering

Contact Info

Product

Resources

About