基于相参积累的捷变频雷达系统相位误差估计与稀疏场景重构算法

doi:10.12305/j.issn.1001-506X.2021.06.08

Abstract

Abstract:

Aiming at the problem of coherent accumulation performance degradation of target echo signal of frequency agile radar caused by system phase error, a coherent accumulation model of target echo signal of frequency agile radar under system phase error is constructed. Based on the range-velocity sparsity of the target, the minimum ℓ₁ norm optimization model is established, and a joint processing algorithm of system phase error estimation and target scene sparse reconstruction based on alternating direction multipliers method is proposed to realize the accurate estimation of system phase error and target parameters. The simulation results show that the proposed method can accurately estimate the phase error of the system when the signal to noise ratio is 20 dB, and the estimation error is within 2°. At the same time, compared with the inverse synthetic aperture radar phase autofocus algorithm, the reconstruction performance and computational efficiency of the proposed algorithm are improved, the mean square error of target reconstruction amplitude is increased by 10 dB, and the operation time is reduced to 1/2.

Key words: frequency agile radar, coherent accumulation, sparse reconstruction, system phase error, ℓ₁-norm, alternating direction method of multipliers

CLC Number:

TN958

Xun DING, Jindong ZHANG, Na WANG, Yuying WANG. System phase error estimation and sparse scene reconstruction algorithm of frequency agile radar based on coherent accumulation[J]. Systems Engineering and Electronics, 2021, 43(6): 1515-1523.

Figures/Tables 9

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Table 1

Fig.7

Fig.8

References 30

1	张晨路, 公绪华, 刘一民. 相参捷变频雷达接收机及动目标处理技术[J]. 现代雷达, 2015, 37 (12): 74- 77, 82.
	ZHANG C L , GONG X H , LIU Y M . Coherent frequency agile radar receiver and moving target processing technology[J]. Modern Radar, 2015, 37 (12): 74- 77, 82.
2	EINSTEIN T H. Generation of high resolution radar range profiles and range profile autocoorrelation functions using stepped-frequency pulse train[R]. Springfield: U.S. Department of Commerce National Information Service, 1984.
3	WEHNER D . High-resolution radar[M]. Artech House Radar Library: Artech Print on Demand, 1995.
4	CHEN P , WANG D H , BAO L , et al. Long-time coherent integration method for high-speed target detection using frequency agile radar[J]. Electronics Letters, 2016, 52 (11): 960- 962. doi: 10.1049/el.2016.0821
5	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
6	HUANG P H , DONG S S , LIU X Z , et al. A coherent integration method for moving target detection using frequency agile radar[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16 (2): 206- 210. doi: 10.1109/LGRS.2018.2870869
7	DONOHO D L . Compresssed sensing[J]. IEEE Trans.on Information Theory, 2006, 52 (4): 1289- 1306. doi: 10.1109/TIT.2006.871582
8	SHAH S, YU Y, PETROPULU A. Step-frequency radar with compressive sampling(SFR-CS)[C]//Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP), 2010: 1686-1689.
9	ENDER J . On compressive sensing applied to radar[J]. Signal Processing: the Official Publication of the European Association for Signal Processing (EURASIP), 2010, 90 (5): 1402- 1414.
10	GURBUZ A C , MCCLELLAN J H , SCOTT W R . A compressive sensing data acquisition and imaging method for stepped frequency GPRs[J]. IEEE Trans.on Signal Processing: a Publication of the IEEE Signal Processing Society, 2009, 57 (7): 2640- 2650.
11	SUKSMONO , BHARATA A , LESTARI E , et al. Compressive stepped-frequency continuous-wave ground-penetrating radar[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7 (4): 665- 669. doi: 10.1109/LGRS.2010.2045340
12	YANG J , THOMPSON J , HUANG X , et al. Random frequency SAR imaging based on compressed sensing[J]. IEEE Trans.on Geoscience and Remote Sensing, 2013, 51 (2): 983- 994. doi: 10.1109/TGRS.2012.2204891
13	BAO Z , QIU C W , LI J , et al. Achieving higher resolution ISAR imaging with limited pulses via compressed sampling[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6 (3): 567- 571. doi: 10.1109/LGRS.2009.2021584
14	HUANG T Y, LIU Y M, LI G, et al. Randomized stepped frequency ISAR imaging[C]//Proc. of the IEEE Radar Conference, 2012: 553-557.
15	HUANG T Y , WANG X Q , MENG H D , et al. Cognitive random stepped frequency radar with sparse recovery[J]. IEEE Trans.on Aerospace and Electronic Systems, 2014, 50 (2): 858- 870. doi: 10.1109/TAES.2013.120443
16	WANG L , HUANG T Y , LIU Y M . Phase compensation and image autofocusing for randomized stepped frequency ISAR[J]. IEEE Sensors Journal, 2019, 19 (10): 3784- 3796. doi: 10.1109/JSEN.2019.2897014
17	LIU Z , WEI X Z , LI X . Low sidelobe robust imaging in random frequency-hopping wideband radar based on compressed sensing[J]. Journal of Central South University, 2013, 20 (3): 702- 714. doi: 10.1007/s11771-013-1538-3
18	LI Y M , MENG H D , LI G , et al. Range-velocity estimation of multiple targets in randomised stepped-frequency radar[J]. Electronics Letters, 2008, 44 (17): 1032- 1034. doi: 10.1049/el:20081608
19	HUANG T Y , LIU Y M , MENG H D , et al. Adaptive matching pursuit with constrained total least squares[J]. EURASIP Journal on Advances in Signal Processing, 2012, 8 (1): 76- 88.
20	丁丽. MIMO雷达稀疏成像的失配问题研究[D]. 合肥: 中国科学技术大学, 2014.
	DING L. Research on the mismatch of MIMO radar sparse imaging[D]. Hefei: University of Science and Technology of China, 2014.
21	杨镭. 压缩感知雷达成像中的模型失配问题研究[D]. 长沙: 国防科学技术大学, 2016.
	YANG L. Research on model mismatch in compressed sensing radar imaging[D]. Changsha: University of Defense Science and Technology, 2016.
22	WANG L , HUANG T Y , LIU Y M . Phase compensation and image autofocusing for randomized stepped frequency ISAR[J]. IEEE Sensors Journal, 2019, 19 (10): 3784- 3796. doi: 10.1109/JSEN.2019.2897014
23	YE W , YEO T S . Weighted least-squares estimaation of phase errors for SAR/ISAR autofocus[J]. IEEE Trans.on Geoscience & Remote Sensing, 1999, 37 (5): 2487- 2494.
24	徐刚, 张磊, 陈倩倩, 等. 基于稀疏约束最优化的ISAR相位自聚集成像算法[J]. 电子学报, 2013, 43 (9): 1772- 1777.
	XU G , ZHANG L , CHEN Q Q , et al. ISAR phase self focusing image algorithm based on sparse constraint optimization[J]. Acta Electronica Sinica, 2013, 43 (9): 1772- 1777.
25	WU X W , ZHU Z D . A for Novel autofocus algorithm based on minimum entropy criterion SAR images[J]. Systems Engineering and Electronic, 2003, 25 (7): 867- 869.
26	徐刚, 杨磊, 张磊, 等. 一种加权最小熵的ISAR自聚焦算法[J]. 电子与信息学报, 2011, 33 (8): 1809- 1815.
	XU G , YANG L , ZHANG L , et al. A weighted minimum entropy ISAR autofocus algorithm[J]. Journal of Electronics & Information Technology, 2011, 33 (8): 1809- 1815.
27	LUENBERGER D . Linear and nonlinear programming[M]. 2nd ed. Luenberger: Kluwer, 2003.
28	BOYD S , PARIKH N , CHU E , et al. Distributed optimization and statistical learning via the alternating direction method of multipliers[J]. Foundations and Trends in Machine Learning, 2011, doi: 10.1561/2200000016
29	ZHAO B, ZHANG C S. Compressed spectral clustering[C]//Proc. of the IEEE International Conference on Data Mining Workshops, 2009: 344-349.
30	CANDES E , ROMBERG J , TAO T . Robust uncertainty principle: extract signal reconstruction from highly incomplete frequency information[J]. IEEE Trans.on Information Theory, 2006, 52 (2): 489- 509. doi: 10.1109/TIT.2005.862083

方法	相位误差/rad
方法	0.3	0.6	0.9	1.2	1.5	1.8	2.1	2.4	2.7	3.0
本文方法	28.9	34.8	27.5	26.1	27.2	30.2	30.7	32.5	33.4	32.8
自聚焦	51.2	65.0	58.2	60.7	61.7	55.9	64.3	66.9	78.1	63.9

[1]	Xiang LIU, Tianyao HUANG, Yimin LIU. Distributed target detection for frequency agile radars [J]. Systems Engineering and Electronics, 2022, 44(6): 1833-1838.
[2]	Wenjing LI, Zhuolin LI, Zhentao YUAN. Sea clutter suppression and target extraction algorithm based on sparse reconstruction [J]. Systems Engineering and Electronics, 2022, 44(3): 777-785.
[3]	Lei YANG, Su ZHANG, Minghui GAI, Cheng FANG. High-resolution SAR imagery with enhancement of directional structure feature [J]. Systems Engineering and Electronics, 2022, 44(3): 808-818.
[4]	Siyu DU, Yinghui QUAN, Minghui SHA, Wen FANG, Mengdao XING. Waveform optimization for SFA radar based on evolutionary particle swarm optimization [J]. Systems Engineering and Electronics, 2022, 44(3): 834-840.
[5]	Xi ZHANG, Zhengmeng JIN, Yaqin JIANG. Total variation algorithm with depth image priors for image colorization [J]. Systems Engineering and Electronics, 2022, 44(2): 385-393.
[6]	Cheng FANG, Huijuan LI, Wen LU, Yumeng SONG, Lei YANG. Multi-feature enhancement algorithm for high resolution SAR based on morphological auto-blocking [J]. Systems Engineering and Electronics, 2022, 44(2): 470-479.
[7]	Shuxian DONG, Yinghui QUAN, Minghui SHA, Wen FANG, Mengdao XING. Frequency agile radar combined with intra-pulse frequency coding to resist intermittent sampling jamming [J]. Systems Engineering and Electronics, 2022, 44(11): 3371-3379.
[8]	Xiaoge WANG, Hui CHEN, Mengyu NI, Liuliu NI, Bingbing LI. Radar anti-false target jamming method based on phase modulation [J]. Systems Engineering and Electronics, 2021, 43(9): 2476-2483.
[9]	Cheng CHEN, Tao LIU, Xiaoji SONG, Yi SU, Guanghu JIN. Penetration imaging enhancement algorithm based on sparse-signal processing [J]. Systems Engineering and Electronics, 2021, 43(8): 2021-2027.
[10]	Yan ZHANG, Baoping WANG, Yang FANG, Zuxun SONG. Microwave 3D imaging method based on orthogonal spectrum reconstruction [J]. Systems Engineering and Electronics, 2021, 43(8): 2090-2098.
[11]	Tianyao HUANG, Yuhan LI, Lei WANG, Yimin LIU, Xiqin WANG. Review of Performance bounds on sparse target recovery using coherent frequency agile radar [J]. Systems Engineering and Electronics, 2021, 43(7): 1729-1736.
[12]	Rui ZHANG, Yinghui QUAN, Shengqi ZHU, Yachao LI, Mengdao XING. Microwave correlation imaging method based on improved OMP algorithm for sparse targets [J]. Systems Engineering and Electronics, 2021, 43(7): 1756-1765.
[13]	Yan ZHANG, Chunmao YE, Yaobin LU, Xuebin CHEN. Jamming suppression method for hyperbolic frequency modulated waveform based on sparse reconstruction [J]. Systems Engineering and Electronics, 2021, 43(7): 1766-1774.
[14]	Binbin LI, Hui CHEN, Weijian LIU, Zhaojian ZHANG, Bilei ZHOU. Joint multi-dimensional parameters estimation for large-sized electromagnetic vector sensor array based on sparse reconstruction in limited snapshots [J]. Systems Engineering and Electronics, 2021, 43(4): 868-874.
[15]	Dou SUN, Shiqi XING, Haifeng GAO, Bo PANG, Yongzhen LI, Xuesong WANG. 3D sparse imaging for non-uniformly sampled SAR based on feature enhancement [J]. Systems Engineering and Electronics, 2021, 43(4): 901-910.

System phase error estimation and sparse scene reconstruction algorithm of frequency agile radar based on coherent accumulation

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 30

Related Articles 15

Recommended Articles

Metrics

Comments