载频-重频联合捷变雷达目标参数估计方法

doi:10.12305/j.issn.1001-506X.2023.02.10

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (2): 401-406.doi: 10.12305/j.issn.1001-506X.2023.02.10

• 传感器与信号处理 • 上一篇

载频-重频联合捷变雷达目标参数估计方法

刘智星¹, 全英汇¹^,*, 沙明辉², 方文¹, 高霞¹, 邢孟道³

1. 西安电子科技大学电子工程学院, 陕西西安 710071
2. 北京无线电测量研究所, 北京 100854
3. 西安电子科技大学前沿交叉研究院, 陕西西安 710071

收稿日期:2021-01-26 出版日期:2023-01-13 发布日期:2023-02-04
通讯作者: 全英汇
作者简介:刘智星(1993—), 男, 博士研究生, 主要研究方向为雷达信号处理
全英汇(1981—), 男, 教授, 博士, 主要研究方向为雷达实时信号处理
沙明辉(1986—), 男, 研究员, 硕士, 主要研究方向为雷达系统设计和雷达电子对抗
方文(1996—), 男, 硕士研究生, 主要研究方向为雷达信号处理
高霞(1996—), 女, 硕士研究生, 主要研究方向为雷达信号处理
邢孟道(1974—), 男, 教授, 博士, 主要研究方向为SAR/ISAR成像和动目标检测
基金资助:
国家自然科学基金(61772397);陕西省科技创新团队(2019TD-002)

Target parameter estimation method for frequency agility and pulse repetition frequency agility radar

Zhixing LIU¹, Yinghui QUAN¹^,*, Minghui SHA², Wen FANG¹, Xia GAO¹, Mengdao XING³

1. School of Electronic Engineering, Xidian University, Xi'an 710071, China
2. Beijing Institute of Radio Measurement, Beijing 100854, China
3. Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an 710071, China

Received:2021-01-26 Online:2023-01-13 Published:2023-02-04
Contact: Yinghui QUAN

摘要/Abstract

摘要：

针对载频-重频联合捷变体制雷达目标参数估计问题, 提出了一种新的基于多重信号分类(multiple signal classification, MUSIC)算法的载频-重频联合捷变雷达目标参数估计方法。通过信号模型的空时等效, 将时域信号的处理等效成空域阵列信号的处理, 并将超分辨阵列信号处理方法应用到目标的参数估计中, 从而把目标距离和速度的估计等效成阵列中二维参数的估计, 解决了由于载频-重频联合捷变所带来的目标参数估计难题。仿真实验表明, 所提方法能有效实现对目标距离和速度的超分辨估计。

关键词: 载频-重频联合捷变, 多重信号分类算法, 参数估计, 超分辨

Abstract:

Aiming at the target parameter estimation problem of the frequency agility and pulse repetition frequency (PRF) agility radar system, a target parameter estimation method for the frequency agile and agile radar based on the multiple signal classification (MUSIC) algorithm is proposed. The processing of the time domain signal is equivalent to that of the space domain array signal by space-time equivalence of the signal model, and the super resolution array signal processing method is applied to the parameter estimation of the target. Therefore, range and velocity estimation of the target is equivalent to 2-D parameter estimation in array signals, which solves the problem of parameter estimation caused by frequency agility and PRF agility. The simulation results verify that the method can effectively realize the super resolution estimation of range and velocity.

Key words: frequency agility and pulse repetition frequency agility, multiple signal classification (MUSIC) algorithm, parameter estimation, super resolution

中图分类号:

TN957.51

刘智星, 全英汇, 沙明辉, 方文, 高霞, 邢孟道. 载频-重频联合捷变雷达目标参数估计方法[J]. 系统工程与电子技术, 2023, 45(2): 401-406.

Zhixing LIU, Yinghui QUAN, Minghui SHA, Wen FANG, Xia GAO, Mengdao XING. Target parameter estimation method for frequency agility and pulse repetition frequency agility radar[J]. Systems Engineering and Electronics, 2023, 45(2): 401-406.

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参考文献 26

1	LUO M F , HAO Z M , ZHU Y M . Intelligent ECCM technology via cognition and agility for the airborne radar[J]. The Journal of Engineering, 2019, 2019 (20): 6656- 6659. doi: 10.1049/joe.2019.0150
2	HUANG T Y , SHLEZINGER N , XU X Y , et al. Multi-carrier agile phased array radar[J]. IEEE Trans.on Signal Processing, 2020, 68, 5706- 5721. doi: 10.1109/TSP.2020.3026186
3	WANG H Y, YANG X K, LI Y. Radar anti-retransmitted jamming technology based on agility waveforms[C]//Proc. of the IEEE International Conference on Signal, Information and Data Processing, 2019.
4	全英汇, 陈侠达, 阮锋, 等. 一种捷变频联合Hough变换的抗密集假目标干扰算法[J]. 电子与信息学报, 2019, 41 (11): 2639- 2645. doi: 10.11999/JEIT190010
	QUAN Y H , CHEN X D , RUAN F , et al. An anti-dense false target jamming algorithm based on agile frequency joint Hough transform[J]. Journal of Electronics & Information Technology, 2019, 41 (11): 2639- 2645. doi: 10.11999/JEIT190010
5	全英汇, 高霞, 沙明辉, 等. 基于期望最大化算法的捷变频联合正交频分复用雷达高速多目标参数估计[J]. 电子与信息学报, 2020, 42 (7): 1611- 1618.
	QUAN Y H , GAO X , SHA M H , et al. High speed multi-target parameter estimation for FA-OFDM radar based on expectation maximization algorithm[J]. Journal of Electronics & Information Technology, 2020, 42 (7): 1611- 1618.
6	TIAN R Q, LIN C Y, BAO Q L, et al. A hybrid integration method of frequency agile radar for uniform moving target[C]//Proc. of the IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, 2017: 1409-1413.
7	LI K, JIU B, LIU H W. Deep Q-network based anti-jamming strategy design for frequency agile radar[C]//Proc. of the International Radar Conference, 2019.
8	HUANG T Y, SHLEZINGER N, XU X Y, et al. Theoretical analysis of multi-carrier agile phased array radar[C]//Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2020: 4702-4706.
9	WANG Z L. Interference probability calculation method of frequency agile radar based on the spectrum of interference signal[C]//Proc. of the Photonics & Electromagnetics Research Symposium-Fall, 2019: 1117-1123.
10	QUAN Y H , LI Y C , WU Y J , et al. Moving target detection for frequency agility radar by sparse reconstruction[J]. Review of Scientific Instruments, 2016, 87 (9): 811- 815.
11	AKHTAR J, OLSEN K E. Frequency agility radar with overlapping pulses and sparse reconstruction[C]//Proc. of the IEEE Radar Conference, 2018: 61-66.
12	HUANG T Y , LIU Y M , XU X Y , et al. Analysis of frequency agile radar via compressed sensing[J]. IEEE Trans.on Signal Processing, 2018, 66 (23): 6228- 6240. doi: 10.1109/TSP.2018.2876301
13	HUANG T Y, LIU Y M. Compressed sensing for a frequency agile radar with performance guarantees[C]//Proc. of the International Conference on Signal and Information Processing, 2015: 1057-1061.
14	TAO Y J, ZHANG G, TAO T B, et al. Frequency-agile coherent radar target sidelobe suppression based on sparse Bayesian learning[C]//Proc. of the IEEE MTT-S International Microwave Biomedical Conference, 2019.
15	TIAN R Q , LIN C Y , BAO Q L , et al. Coherent integration method of high-speed target for frequency agile radar[J]. IEEE Access, 2018, 6, 18984- 18993. doi: 10.1109/ACCESS.2018.2819167
16	ZHOU R X, XIA G F, ZHAO Y, et al. Coherent signal processing method for frequency-agile radar[C]//Proc. of the 12th IEEE International Conference on Electronic Measurement & Instruments, 2015: 431-434.
17	刘振, 魏玺章, 黎湘. 一种新的随机PRI脉冲多普勒雷达无模糊MTD算法[J]. 雷达学报, 2012, 1 (1): 28- 35.
	LIU Z , WEI X Z , LI X . Novel method of unambiguous moving target detection in pulse-Doppler radar with random pulse repetition interval[J]. Journal of Radars, 2012, 1 (1): 28- 35.
18	LIU Z , WEI X Z , LI X . Aliasing-free moving target detection in random pulse repetition interval radar based on compressed sensing[J]. IEEE Sensors Journal, 2013, 13 (7): 2523- 2534. doi: 10.1109/JSEN.2013.2249762
19	隋金坪, 刘振, 魏玺章, 等. 基于随机PRI压缩感知雷达的速度假目标识别方法[J]. 电子学报, 2017, 45 (1): 98- 103.
	SUI J P , LIU Z , WEI X Z , et al. Velocity false target identification based on random pulse repetition interval compressed sensing radar[J]. Acta Electronica Sinica, 2017, 45 (1): 98- 103.
20	卢雨祥, 汤子跃, 喻令, 等. 随机PRI雷达的多普勒频率特性及相参处理[J]. 现代防御技术, 2017, 45 (4): 130- 136.
	LU Y X , TANG Z Y , YU L , et al. Random PRI radar Doppler characteristics and coherent processing[J]. Modern Defence Technology, 2017, 45 (4): 130- 136.
21	ZHU W Q , LIU Z L , XU H J . Fast coherent integration method for moving target detection with random PRI variation[J]. Electronics Letters, 2020, 56 (1): 41- 43. doi: 10.1049/el.2019.3084
22	TIAN J , XIA X G , CUI W , et al. A coherent integration method via Radon-NUFrFT for random PRI radar[J]. IEEE Trans.on Aerospace and Electronic Systems, 2017, 53 (4): 2101- 2109. doi: 10.1109/TAES.2017.2667887
23	PAN J M, CHEN Z P, HU P H, et al. Coherent integration method of high-speed target for random PRI and staggered PW radar[C]//Proc. of the Photonics & Electromagnetics Research Symposium-Spring, 2019: 1037-1042.
24	LONG X W , LI K , TIAN J , et al. Ambiguity function analysis of random frequency and PRI agile signals[J]. IEEE Trans.on Aerospace and Electronic Systems, 2019, 57 (1): 382- 396.
25	QUAN Y H , WU Y J , LI Y C , et al. Range-Doppler reconstruction for frequency agile and PRF-jittering radar[J]. IET Radar, Sonar & Navigation, 2018, 12 (3): 348- 352.
26	WAX M , ZISKIND I . Detection of the number of coherent signals by MDL principle[J]. IEEE Trans.on Acoustics, Speech, and Signal Processing, 1989, 37 (8): 1190- 1196.

参数类型	数值	参数类型	数值
脉冲宽度/μs	4	采样频率/MHz	48
初始载频/GHz	14	脉冲组个数/个	64
信号带宽/MHz	24	载频捷变间隔/MHz	9
总捷变码字/个	128	重频捷变间隔/μs	0.1
平均脉冲重复频率/kHz	25	跳频带宽/GHz	2

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载频-重频联合捷变雷达目标参数估计方法

Target parameter estimation method for frequency agility and pulse repetition frequency agility radar

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