Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network

Zhao Shuang; Lu Weihong; Feng Cunqian; Wang Yizhe

doi:10.12000/JR15129

Volume 6 Issue 1

Apr. 2017

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Article Navigation > Journal of Radars > 2017 > 6(1): 98-105

WANG Ruyi, ZHANG Hanqing, HAN Bing, et al. Multiangle SAR dataset construction of aircraft targets based on angle interpolation simulation[J]. Journal of Radars, 2022, 11(4): 637–651. doi: 10.12000/JR21193

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Zhao Shuang, Lu Weihong, Feng Cunqian, Wang Yizhe. Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network[J]. Journal of Radars, 2017, 6(1): 98-105. doi: 10.12000/JR15129

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Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network

DOI: 10.12000/JR15129

Zhao Shuang^{①
,
,},
Lu Weihong^{①
,},
Feng Cunqian^{①,②
,},
Wang Yizhe^{①
,}

①.
Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
②.
Collaborative Innovation Center of Information Sensing and Understanding, Xi'an 710077, China

Funds:

The Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China 2014JM8308

The National Natural Science Foundation of China 61372166

Received Date: 2015-12-23
Rev Recd Date: 2016-03-22

Available Online: 2016-05-09

Publish Date: 2017-02-28

Abstract

Abstract

Micro-motion is a crucial feature used in ballistic target recognition. To address the problem that single-view observations cannot extract true micro-motion parameters, we propose a novel algorithm based on the narrowband radar network to extract three-dimensional precession features. First, we construct a precession model of the cone-shaped target, and as a precondition, we consider the invisible problem of scattering centers. We then analyze in detail the micro-Doppler modulation trait caused by the precession. Then, we match each scattering center in different perspectives based on the ratio of the top scattering center's micro-Doppler frequency modulation coefficient and extract the 3D coning vector of the target by establishing associated multi-aspect equation systems. In addition, we estimate feature parameters by utilizing the correlation of the micro-Doppler frequency modulation coefficient of the three scattering centers combined with the frequency compensation method. We then calculate the coordinates of the conical point in each moment and reconstruct the 3D spatial portion. Finally, we provide simulation results to validate the proposed algorithm.
- Precession feature,
- Narrowband radars,
- Frequency compensation,
- 3D reconstruction

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References(16)

References

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