Extraction of Target Propeller Features in Alpha Distribution Noise

Bin WANG; Yuesheng HOU

doi:10.11999/JEIT190916

Volume 42 Issue 10

Oct. 2020

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Bin WANG, Yuesheng HOU. Extraction of Target Propeller Features in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2478-2484. doi: 10.11999/JEIT190916

Citation:

Bin WANG, Yuesheng HOU. Extraction of Target Propeller Features in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2478-2484. doi: 10.11999/JEIT190916

Bin WANG, Yuesheng HOU. Extraction of Target Propeller Features in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2478-2484. doi: 10.11999/JEIT190916

Citation:

Bin WANG, Yuesheng HOU. Extraction of Target Propeller Features in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2478-2484. doi: 10.11999/JEIT190916

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Extraction of Target Propeller Features in Alpha Distribution Noise

doi: 10.11999/JEIT190916

Bin WANG^,,
Yuesheng HOU

PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Funds: The National Natural Science Foundation of China(61572518)

Received Date: 2019-11-14
Rev Recd Date: 2020-05-04

Available Online: 2020-05-16

Publish Date: 2020-10-13

Abstract

Abstract

In order to solve the problem of target propeller features extraction under Alpha stable distribution noise, a method based on fractional low-order cyclic spectrum is proposed. Firstly, the low-order cyclic spectrum of ship radiation noise in impulse noise is derived, and the relationship between the propeller features and the peak value in the fractional low-order cyclic spectrum is given. Based on this, a propeller feature estimation method based on fractional low-order cyclic spectrum is proposed. Finally, the performance of method is verified by simulation experiments, and the effectiveness of the algorithm is further verified by the actual data.
- Alpha stable distribution noise,
- Propeller feature extraction,
- Fractional low order cyclic spectrum

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References(16)

References

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