基于离散正弦调频变换的中段多微动目标分离

陈帅; 冯存前; 张蓉

doi:10.13700/j.bh.1001-5965.2019.0128

基于离散正弦调频变换的中段多微动目标分离

doi: 10.13700/j.bh.1001-5965.2019.0128

陈帅¹,
冯存前^2, ,,
张蓉³

1.
空军工程大学研究生院, 西安 710051
2.
空军工程大学防空反导学院, 西安 710051
3.
空军装备部驻北京地区军事代表局, 北京 100166

基金项目:

国家自然科学基金 61701528

详细信息

作者简介:
陈帅男, 硕士研究生。主要研究方向:目标探测与识别

冯存前男, 博士, 教授, 博士生导师。主要研究方向:雷达信号处理

通讯作者:
冯存前, E-mail: fengcunqian@sina.com

中图分类号: TN957
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- 文章访问数: 821
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- 被引次数: 0
出版历程
- 收稿日期: 2019-03-27
- 录用日期: 2019-09-12
- 网络出版日期: 2020-02-20

Separation of midcourse multiple micro-motion targets based on DSFMT

1.
Graduate College, Air Force Engineering University, Xi'an 710051, China
2.
Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
3.
Military Representative Office of the Air Force Equipment Department in Beijing, Beijing 100166, China

Funds:

National Natural Science Foundation of China 61701528

More Information

Corresponding author: FENG Cunqian, E-mail: fengcunqian@sina.com

摘要

摘要:
弹道导弹在飞行中段形成目标群，窄带雷达无法从距离上将弹道目标分离。为使窄带雷达具备分离弹道目标的能力，对弹道目标的微动特性进行研究。对振动目标的信号回波进行建模，分析其在离散正弦调频变换（DSFMT）中的聚敛特性。利用多分量信号在变换域中的聚敛特性，实现不同信号分量的分离，并估计出目标的振动频率。仿真实验表明，在信噪比-10 dB下，多个振动目标散射点的窄带雷达回波在DSFMT域上具有明显的聚敛特性，分辨出了不同的振动散射点，振动频率估计均方根误差小于-2.5 dB。
- 微动 /
- 弹道中段 /
- 窄带雷达 /
- 离散正弦调频变换(DSFMT) /
- 目标分离
Abstract:
The ballistic missile forms a target group in its mid-flight, and the narrowband radar cannot separate the ballistic target from the distance because of its narrow bandwidth. In order to enable narrowband radar to separate ballistic targets, the micro-motion characteristics of ballistic targets were studied. The narrowband radar signal echo of vibration target was modeled and its convergence characteristics in discrete sinusoidal frequency modulation transform (DSFMT) domain were analyzed. The convergence characteristics of multi-component signals in the transform domain were studied to separate different signal components and the vibration frequency of the target was estimated. The simulation results show that the narrowband radar echoes of multiple vibration ballistic targets have obvious convergence characteristics in the DSFMT domain under the signal to noise ratio of -10 dB, the proposed algorithm can distinguish different vibration scattering points, and the estimated vibration frequency root mean square error is less than -2.5 dB.
- micro-motion /
- midcourse trajectory /
- narrowband radar /
- discrete sinusoidal frequency modulation transform (DSFMT) /
- target separation

HTML全文

图 1 多振动目标模型

Figure 1. Multi-vibration target model

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图 2 窄带回波信号正弦调频变换结果

Figure 2. Sinusoidal frequency modulation transform result of narrowband echo signal

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图 3 3个仿真目标的分离成功率

Figure 3. Separation success rate of three simulation targets

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图 4 初始信号第1次离散正弦调频变换结果

Figure 4. First discrete sinusoidal frequency modulation transform result of initial signal

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图 5 参数估计均方根误差

Figure 5. Parameter estimation root-mean-square error

下载: 全尺寸图片幻灯片

表 1 原始参数与估计结果

Table 1. Original parameters and estimation results

散射点	L		k
散射点	理论值	估计值	理论值	估计值
P₁	155.777	155.770	5.000	5.000
P₂	190.081	187.105	5.900	5.900
P₃	184.325	184.320	3.900	3.900

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参考文献(17)

[1]	CHEN V C.Micro-Doppler effect in radar[M].[S.l.]:Artech House, 2011:3-5.
[2]	CHEN V C.Advances in applications of radar micro-Doppler signatures[C]//Proceedings of IEEE Antenna Measurements & Application. Piscataway, NJ: IEEE Press, 2014: 1-4.
[3]	高红卫, 谢良贵, 文树梁, 等.基于微多普勒特征的真假目标雷达识别研究[J].电波科学学报, 2008, 23(4):775-780. GAO H W, XIE L G, WEN S L, et al.Research on radar recognition of true and false targets based on micro-Doppler characteristics[J].Journal of Radio Science, 2008, 23(4):775-780(in Chinese).
[4]	邵长宇, 杜兰, 李飞, 等.基于多目标跟踪的空间锥体目标微多普勒频率提取方法[J].电子与信息学报, 2012, 34(12):259-264. SHAO C Y, DU L, LI F, et al.Micro Doppler frequency extraction method for space cone target based on multi-target tracking[J].Journal of Electronics and Information, 2012, 34(12):259-264(in Chinese).
[5]	张淑宁, 赵慧昌, 熊刚, 等.基于粒子滤波的单通道正弦调频混合信号分离与参数估计[J].物理学报, 2014, 63(15):158401-1-158401-9. ZHANG S N, ZHAO H C, XIONG G, et al.Separation and parameter estimation of single channel sinusoidal FM mixed signal based on particle filter[J].Journal of Physics, 2014, 63(15):158401-1-158401-9(in Chinese).
[6]	陈广锋, 张林让, 王纯.复合运动目标微多普勒特征的分析和提取[J].西安电子科技大学学报, 2011, 38(3):55-62. CHEN G F, ZHANG L R, WANG C.Analysis and extraction of micro-Doppler characteristics of compound moving targets[J].Journal of Xidian University, 2011, 38(3):55-62(in Chinese).
[7]	桑林, 李续武.弹道导弹中段目标群及识别技术研究[J].飞航导弹, 2015(1):66-69. SANG L, LI X W.Research on midcourse target group and recognition technology of ballistic missile[J].Aerial Missile, 2015(1):66-69(in Chinese).
[8]	束长勇, 张生俊, 黄沛霖, 等.基于微多普勒的空间锥体目标微动分类[J].北京麻豆精品秘国产传媒学报, 2017, 43(7):1387-1392. doi: 10.13700/j.bh.1001-5965.2016.0500 SHU C Y, ZHANG S J, HUANG P L, et al.Micro motion classification of space pyramidal targets based on micro Doppler[J].Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(7):1387-1392(in Chinese). doi: 10.13700/j.bh.1001-5965.2016.0500
[9]	LI P, WANG D, WANG H.Separation of micro-Doppler signals based on time frequency filter and Viterbi algorithm[J].Signal, Image and Video Processing, 2013, 7(3):593-605. doi: 10.1007/s11760-011-0263-3
[10]	李朝伟, 周希元, 陈卫东, 等.单脉冲雷达主波束内多目标的检测方法[J].电子学报, 2006, 34(6):1026-1030. LI C W, ZHOU X Y, CHEN W D, et al.Detection method of multi-target in main beam of monopulse radar[J].Journal of Electronics, 2006, 34(6):1026-1030(in Chinese).
[11]	孙志国, 陈晶, 曹雪, 等.基于离散正弦调频变换的多分量正弦调频信号参数估计方法[J].系统工程与电子技术, 2012, 34(10):1974-1979. SUN Z G, CHEN J, CAO X, et al.Parameter estimation of multicomponent SFM signals based on discrete sinusoidal frequency modulation transfoem[J].Systems Engineering and Electronics, 2012, 34(10):1974-1979(in Chinese).
[12]	樊养余, 邓莉君.基于离散正弦/余弦变换DC-DMT的可见光通信系统性能研究[J].光学学报, 2016, 36(11):1106001-1-1106001-9. FAN Y Y, DENG L J.Performance of visible light communication system based on discrete sine/cosine transform DC-DMT[J].Acta Optica Sinica, 2016, 36(11):1106001-1-1106001-9(in Chinese).
[13]	熊辉, 吕远, 曾德国.利用卡森准则的正弦调频信号参数估计方法[J].电子测量与仪器学报, 2010, 24(4):353-358. XIONG H, LV Y, ZENG D G.SFM signal parameter estimation algorithm based on Carson rule[J].Journal of Electronic Measurement and Instrument, 2010, 24(4):353-358(in Chinese).
[14]	罗迎, 柏又青, 张群, 等.弹道目标平动补偿与微多普勒特征提取方法[J].电子与信息学报, 2012, 34(3):602-608. LUO Y, BAI Y Q, ZHANG Q, et al.Method of trajectory target translation compensation and micro-Doppler feature extraction[J].Journal of Electronics and Information, 2012, 34(3):602-608(in Chinese).
[15]	马启烈, 鲁卫红, 冯存前, 等.基于微动目标主体信息的平动补偿方法[J].现代防御技术, 2013, 41(2):143-146. MA Q L, LU W H, FENG C Q, et al.Translation compensation method based on subject information of fretting target[J].Modern Defense Technology, 2013, 41(2):143-146(in Chinese).
[16]	夏殿松, 胡淼, 洪夏俊, 等.一种基于AMDF和ACF的基音周期提取算法研究[J].军事通信技术, 2009, 30(1):27-31. XIA D S, HU M, HONG X J, et al.A pitch period extraction algorithm based on AMDF and ACF[J].Military Communication Technology, 2009, 30(1):27-31(in Chinese).
[17]	赵祎, 张盛, 林孝康, 等.一种改进的基音周期提取算法[J].数据采集与处理, 2014, 29(2):304-308. ZHAO Y, ZHANG S, LIN X K, et al.An improved pitch period extraction algorithm[J].Data Acquisition and Processing, 2014, 29(2):304-308(in Chinese).