窄带雷达观测下的锥体目标参数估计方法

doi:10.3969/j.issn.1001-2400.2015.06.008

Abstract

Abstract:

The parameter estimation for the space cone-shaped target based on precession is very important for target discrimination. This paper proposes a novel parameter estimation method via the scattering centers' micro-Doppler frequency contained in the narrowband echo. After the establishment of the target's precession model, the theoretical variation of top and bottom scattering centers' micro-Doppler frequency are derived, and then the micro-Doppler frequency of the bottom scattering center is expanded, and the relationship between the expansion coefficients and the target's size and precession parameter is analyzed. Finally, a linear system of equations is established to solve the expansion coefficients with the top and bottom scattering centers' micro-Doppler frequencies, and then the target's size and precession parameters are calculated based on the coefficients. Experiments based on electromagnetic computation data indicate that the proposed method is valid and accurate.

Key words: target recognition, cone-shaped target, micro-Doppler frequency, parameter estimation, feature extraction

CLC Number:

TN957.52

HAN Xun;DU Lan;LIU Hongwei. Parameter estimation method for the cone-shaped target under narrow-band radar observation[J].J4, 2015, 42(6): 43-48.

References

［1］关永胜, 左群声, 刘宏伟, 等. 空间锥体目标微动特性分析与识别方法［J］. 西安电子科技大学学报, 2011, 38(2): 105-111.
Guang Yongsheng, Zuo Qunsheng, Liu Hongwei, et al. Micro-motion Characteristic Analysis and Recognition of Cone-shaped Targets ［J］. Journal of Xidian University, 2011, 38(2): 105-111.
［2］ Peng L, Sun J P, Wang J, et al. Micro-motion Parameter Estimation of Free Rigid Targets Based on Radar Micro-Doppler ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(10): 3776-3786.
［3］ Huang J, Ning C, Xiao Z H. Precession and Structural Parameters Estimation of the Cone-Shaped Target Based on the Profile Length ［C］//Proceedings of the IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing. Washington: IEEE, 2013: 1545-1549.
［4］罗迎, 张群, 李松, 等. 基于分布式组网雷达的弹道目标三维进动特征提取［J］. 电子学报, 2012, 40(6): 1079-1085.
Luo Ying, Zhang Qun, Li Song, et al. Three-dimensional Precession Feature Extraction of Ballistic Targets in Distributed Radar Networks ［J］. Acta Electronica Sinica, 2012, 40(6): 1079-1085.
［5］雷腾, 刘进忙, 杨少春, 等. 基于三站一维距离像融合的弹道目标特征提取方法研究［J］. 宇航学报, 2012, 33( 2): 228- 234．
Lei Teng, Liu Jinmang, Yang Shaochun, et al. Study on Feature Extraction Method of Ballistic Target Based on Three- station Range Profiles ［J］. Journal of Astronautics, 2012, 33(2) : 228- 234．
［6］ Feng C Q, Zhang J, Ma Q L. The Estimation of Precession Character Based on Multi-LOS HRRP ［J］. Applied Mechanics and Materials, 2013, 2(63): 1298-1303.
［7］ Gao H W, Xie L G, Wen S L, et al. Micro-Doppler Signature Extraction from Ballistic Target with Micro-motions ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2010, 46(4): 1969-1981.
［8］ Li P, Wang D C, Wang L. Separation of Micro-Doppler Signals Based on Time Frequency Filter and Viterbi Algorithm ［J］. Signal, Image and Video Processing, 2013, 7(3): 593-605.
［9］ Yao H Y, Li X X, Sun W F, et al. Micro-Doppler Analysis of Nutation Target in Ballistic Midcourse ［C］//IET Conference Publications: 2013(617CP). Stevenage: IET, 2013: 0461..
［10］ Chen V C, Li Fayin, Ho Shenshyang, et al. Micro-Doppler Effect in Radar: Phenomenon, Model, and Simulation Study ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(1): 2-21.
［11］李飞, 纠博, 邵长宇, 等. 目标微动参数估计的曲线跟踪算法［J］. 电波科学学报, 2013, 28(2): 278-284.
LI Fei, Jiu Bo, Shao Changyu, et al. Curve Tracking Based Parameter Estimation of Micro-motion ［J］. Chinese Journal of Radio Science, 2013, 28(2): 278-284.
［12］ Liu Y X, Li X, Zhuang Z W. Estimation of Micro-motion Parameters Based on Micro-Doppler ［J］. IET Signal Processing, 2010, 4(3): 213-217.

[1]	LI Peng,FENG Cunqian,XU Xuguang,TANG Zixiang. Ballistic target fretting classification network based on Bayesian optimization [J]. Journal of Xidian University, 2021, 48(5): 139-148.
[2]	LIU Jieyi,GONG Maoguo,ZHAN Tao,LI Hao,ZHANG Mingyang. Method for discrimination of false targets in multistation radar systems based on the deep neural network [J]. Journal of Xidian University, 2021, 48(2): 133-138.
[3]	WEI Ziyu,YANG Xi,WANG Nannan,YANG Dong,GAO Xinbo. Reciprocal bi-directional generative adversarial network for cross-modal pedestrian re-identification [J]. Journal of Xidian University, 2021, 48(2): 205-212.
[4]	XU Bin,ZHANG Yongshun,ZHANG Qin,WANG Fuping,ZHENG Guimei. Radar HRRP target recognition based on the multiplicative RNN model [J]. Journal of Xidian University, 2021, 48(2): 49-54.
[5]	GUO Zekun,TIAN Long,HAN Ning,WANG Penghui,LIU Hongwei,CHEN Bo. Radar HRRP based few-shot target recognition with CNN-SSD [J]. Journal of Xidian University, 2021, 48(2): 7-14.
[6]	HAN Zhuoxi,WANG Feng,CHEN Pei,LI Zhuolun. Fuzzy data association algorithm assisted by historical features [J]. Journal of Xidian University, 2021, 48(2): 92-98.
[7]	WANG Xiaohua,YAO Pengchao,MA Liping,WANG Wenjie,ZHANG Lei. Algorithm for extraction of features of robot speech control in the factory environment [J]. Journal of Xidian University, 2020, 47(2): 16-22.
[8]	WANG Hongyan,ZHU Limin,ZHANG Panjie,LI Jinping. Method for the detection of the piston side defect based on external contour registration [J]. Journal of Xidian University, 2019, 46(5): 75-83.
[9]	GUO Rui,ZANG Bo,PENG Shuming,XING Mengdao. Extraction of features of the urban high-rise building from high resolution InSAR data [J]. Journal of Xidian University, 2019, 46(4): 137-143.
[10]	LIU Daohua,CUI Yushuang,ZHAO Yansong,SONG Yuting,WANG Jinghui. Method for retrieving the teaching image based on the improved convolutional neural network [J]. Journal of Xidian University, 2019, 46(3): 52-58.
[11]	JING Fulong,ZHANG Chunjie,SI Weijian,WANG Yu,JIAO Shuhong. Effective method for analysis of LFM signals in the CFCR domain [J]. Journal of Xidian University, 2019, 46(3): 102-108.
[12]	YANG Jiangong,WANG Xili,LIU Shigang. Spectral-spatial classification of hyperspectral images using deep Boltzmann machines [J]. Journal of Xidian University, 2019, 46(3): 109-115.
[13]	XU Bin,CHEN Bo,LIU Jiaqi,WANG Penghui,LIU Hongwei. Radar HRRP target recognition by the bidirectional LSTM model [J]. Journal of Xidian University, 2019, 46(2): 29-34.
[14]	WANG Xinyuan,XIAO Song,LI Lei,JIAO Lingling. Robust target tracking algorithm based on the ELM and discriminative correlation filter [J]. Journal of Xidian University, 2019, 46(1): 57-63.
[15]	ZHANG Junlin;LIU Mingqian. Estimation of the symbol period of MPSK signals over fading channels with impulsive noise [J]. Journal of Xidian University, 2018, 45(5): 38-42+95.

Parameter estimation method for the cone-shaped target under narrow-band radar observation

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10