Micro-motion Characteristic Analysis and Parameters Estimation for Blunt-nosed Chamfered Cone Based on HRRP Sequence

Nan SU; Fengzhou DAI; Hongwei LIU

doi:10.11999/JEIT180520

Volume 41 Issue 7

Jul. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(7): 1751-1757

Nan SU, Fengzhou DAI, Hongwei LIU. Micro-motion Characteristic Analysis and Parameters Estimation for Blunt-nosed Chamfered Cone Based on HRRP Sequence[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1751-1757. doi: 10.11999/JEIT180520

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Nan SU, Fengzhou DAI, Hongwei LIU. Micro-motion Characteristic Analysis and Parameters Estimation for Blunt-nosed Chamfered Cone Based on HRRP Sequence[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1751-1757. doi: 10.11999/JEIT180520

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Micro-motion Characteristic Analysis and Parameters Estimation for Blunt-nosed Chamfered Cone Based on HRRP Sequence

doi: 10.11999/JEIT180520

National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61671359), The National Science Foundation for Distinguished Young Scholars (61525105), The Fundamental Research Funds for the Central Universities of China (JB180210)

Received Date: 2018-05-28
Rev Recd Date: 2019-04-25

Available Online: 2019-05-06

Publish Date: 2019-07-01

Abstract

Abstract

Appropriate warhead structure modeling is the basis for warhead parameters estimation. In this paper, the warhead is modeled by the blunt-nosed chamfered cone model, which regards the spherical center and the chamfer scattering centers as the sliding centers and takes the influence of the side of the cone into account, the general form of the position of the scattering centers is given based on the model. Then, the micro-motion of the scattering centers in the blunt-nosed chamfered cone model is derived. Based on this, a nonlinear optimization method is proposed to estimate the target's motion parameters and structural parameters. Finally, simulation results verify the correctness of the model and the effectiveness of the parameter estimation method.
- Target recognition,
- Blunt-nosed chamfered cone,
- Occlusion effect,
- Micro-motion characteristic analysis,
- Parameters estimation

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References(19)

References

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