Estimation of Volume Target Length in Alpha Distribution Noise

Bin WANG; Yuesheng HOU

doi:10.11999/JEIT190327

Volume 42 Issue 9

Sep. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(9): 2231-2238

Bin WANG, Yuesheng HOU. Estimation of Volume Target Length in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2231-2238. doi: 10.11999/JEIT190327

Citation:

Bin WANG, Yuesheng HOU. Estimation of Volume Target Length in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2231-2238. doi: 10.11999/JEIT190327

Bin WANG, Yuesheng HOU. Estimation of Volume Target Length in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2231-2238. doi: 10.11999/JEIT190327

Citation:

Bin WANG, Yuesheng HOU. Estimation of Volume Target Length in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2231-2238. doi: 10.11999/JEIT190327

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Estimation of Volume Target Length in Alpha Distribution Noise

doi: 10.11999/JEIT190327

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: 2019-05-07
Rev Recd Date: 2019-12-16

Available Online: 2020-07-16

Publish Date: 2020-09-27

Abstract

Abstract

In order to estimate the length of moving ship targets in Alpha stable distribution noise, a moving target length estimation method based on Generalized Time-Frequency Analysis (G-TFA) and least squares estimation is proposed, which utilizes nonlinear transform to suppress impulsive noise and Doppler effect to estimate target motion characteristics. The method uses G-TFA to obtain the Doppler frequency of moving targets in a stable distributed noise environment. Then, the least squares method is used to estimate the target speed and the closest point of approach time of different positions. Finally, the target length is calculated using the above estimation results. Taking Generalized Winger-Ville Distribution (G-WVD) as an example, the ability of G-TFA to extract Doppler features in Alpha stable distributed noise is theoretically derived. The robustness of the proposed method under low-to-medium mixed signal-to-noise ratio is verified by simulation experiments. Compared with the existing methods, the proposed method does not need to estimate the noise characteristic index, and the performance is better than the methods based on the traditional time-frequency analysis.

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References(18)

References

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