基于启发式频率规划的多雷达波形设计

doi:10.12305/j.issn.1001-506X.2025.02.08

Abstract

Abstract:

Radar detection performance is related to target echo characteristics, and the detection probability of target can be improved by designing waveform frequency matching with the angular domain fluctuation characteristics of target. In this regard, a multi-radar waveform design algorithm based on heuristic frequency domain programming is proposed. In offline state, the angle frequency matching set for matching the characteristics of maneuvering targets is designed in three steps: angle domain division under fluctuation factor constraints, maximizing angle domain association with fluctuation factors, and abnormal angle domain decision-making. In the target tracking stage, the multi-station radar extends the detection frequency to optimize the angular domain. According to the filter predicted state value of maneuvering targets in the state transition region, the radar node and radiation frequency parameter programming under the condition of uncertain target echo is completed. Simulation results show that the detection performance of the proposed algorithm is significantly improved in the tracking scenario of alternating motion of uniform straight line and cooperative turning.

Key words: maneuvering target, target characteristic, heuristic method, frequency programming, multi-station radar

CLC Number:

TN951

Yi DING, Fei WANG, Jun CHEN, Qinghua HAN, Jianjiang ZHOU. Multi-radar waveform design based on heuristic frequency programming[J]. Systems Engineering and Electronics, 2025, 47(2): 406-417.

Figures/Tables 22

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References 33

1	余若峰, 杨威, 付耀文, 等. 面向不同雷达任务的认知波形优化综述[J]. 电子学报, 2022, 50 (3): 726- 752.
	YU R F , YANG W , FU Y W , et al. A review of cognitive waveform optimization for different radar missions[J]. Acta Electronica, 2022, 50 (3): 726- 752.
2	冯翔, 李风从, 范羽, 等. 基于粒子采样投影的雷达低旁瓣复合波形设计[J]. 系统工程与电子技术, 2023, 45 (4): 1008- 1015. doi: 10.12305/j.issn.1001-506X.2023.04.09
	FENG X , LI F C , FAN Y , et al. Radar low side lobe composite waveform design based on particle sampling projection[J]. Systems Engineering and Electronics, 2023, 45 (4): 1008- 1015. doi: 10.12305/j.issn.1001-506X.2023.04.09
3	XIE Q Y , LIU C Y , MO Z W , et al. A novel pulse-agile waveform design based on random FM waveforms for range sidelobe suppression and range ambiguity mitigation[J]. IEEE Trans.on Geoscience and Remote Sensing, 2023, 61, 5110612.
4	ZHOU X , ZHU J H , ZHUANG X , et al. MIMO radar robust waveform-filter design for extended targets based on Lagrangian duality[J]. IEEE Trans.on Aerospace and Electronic Systems, 2023, 59 (2): 1021- 1036.
5	CHENG X , WU L L , CIUONZO D , et al. Joint design of horizontal and vertical polarization waveforms for polarimetric radar via SINR maximization[J]. IEEE Trans.on Aerospace and Electronic Systems, 2023, 59 (3): 3313- 3328. doi: 10.1109/TAES.2022.3223887
6	SHI S N , HE Z S , CHENG Z Y . Codesign for hybrid MU-MIMO communication and MIMO radar systems based on mutual information[J]. IEEE Systems Journal, 2023, 17 (1): 1328- 1339. doi: 10.1109/JSYST.2022.3201773
7	WANG X Y , TANG B , WU W J , et al. Relative entropy-based waveform optimization for rician target detection with dual-function radar communication systems[J]. IEEE Sensors Journal, 2023, 23 (10): 10718- 10730. doi: 10.1109/JSEN.2023.3264458
8	GE J J, LI C X. Multi-radar hybrid detection algorithm based on information entropy[C]//Proc. of the CIE International Confe-rence on Radar, 2016.
9	ZHANG Y X , WANG L X , FENG N X , et al. A 3-D high- order reverse-time migration method for high-resolution subsurface imaging with a multistation ultra-wideband radar system[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (2): 744- 751. doi: 10.1109/JSTARS.2019.2892650
10	SUN J , YI W , VARSHNEY P K , et al. Resource scheduling for multi-target tracking in multi-radar systems with imperfect detection[J]. IEEE Trans.on Signal Processing, 2020, 70, 3878- 3893.
11	TEMIZ M , GRIFFITHS H , RITCHIE M A . Improved target localization in multiwaveform multiband hybrid multistatic radar networks[J]. IEEE Sensors Journal, 2022, 22 (21): 20785- 20796. doi: 10.1109/JSEN.2022.3206586
12	CHEN J , WANG F , ZHOU J J , et al. Short-time velocity identification and coherent-like detection of ultrahigh speed targets[J]. IEEE Trans.on Signal Processing, 2018, 66 (18): 4811- 4825. doi: 10.1109/TSP.2018.2862407
13	WANG L Z , XIE G , QIAN F C . A novel model for analyzing the statistical properties of targets' RCS[J]. IEEE Signal Processing Letters, 2022, 29, 583- 586. doi: 10.1109/LSP.2021.3125261
14	杨英科, 李宏, 李文臣, 等. 目标起伏特性对雷达检飞试验的影响及应用[J]. 现代雷达, 2013, 35 (2): 22-25, 30. doi: 10.3969/j.issn.1004-7859.2013.02.007
	YANG Y K , LI H , LI W C , et al. The influence of target fluctuation characteristics on radar flight detection test and its application[J]. Modern Radar, 2013, 35 (2): 22-25, 30. doi: 10.3969/j.issn.1004-7859.2013.02.007
15	郑全普, 郝建华, 俞雷, 等. 目标起伏特性对雷达威力性能的影响分析[J]. 现代防御技术, 2013, 41 (4): 131-134, 165.
	ZHENG Q P , HAO J H , YU L , et al. Analysis of the impact of target fluctuation characteristics on radar power performance[J]. Modern Defense Technology, 2013, 41 (4): 131-134, 165.
16	WANG X , QIN P Y , JIN R H . Low RCS transmitarray employing phase controllable absorptive frequency-selective transmission elements[J]. IEEE Trans.on Antennas and Propagation, 2021, 69 (4): 2398- 2403. doi: 10.1109/TAP.2020.3023796
17	HUANG H , OMAR A , SHEN Z X . Low-RCS and beam-steerable dipole array using absorptive frequency-selective reflection structures[J]. IEEE Trans.on Antennas and Propagation, 2020, 68 (3): 2457- 2462. doi: 10.1109/TAP.2019.2943322
18	JIA Y T , LIU Y , FENG Y J , et al. Low-RCS holographic antenna with enhanced gain based on frequency-selective absorber[J]. IEEE Trans.on Antennas and Propagation, 2020, 68 (9): 6516- 6526. doi: 10.1109/TAP.2020.2985160
19	HE C , WEI S P , LI Y C . Feature-aided RGPO jamming discrimination within wideband radar maneuvering target tracking[J]. IEEE Trans.on Aerospace and Electronic Systems, 2023, 59 (6): 7938- 7950. doi: 10.1109/TAES.2023.3299440
20	DAI J H , YAN J K , PU W Q . Adaptive channel assignment for maneuvering target tracking in multistatic passive radar[J]. IEEE Trans.on Aerospace and Electronic Systems, 2023, 59 (3): 2780- 2793. doi: 10.1109/TAES.2022.3218610
21	WANG M X , LI X L , GAO L J . Signal accumulation method for high-speed maneuvering target detection using airborne coherent MIMO radar[J]. IEEE Trans.on Signal Processing, 2023, 71, 2336- 2351. doi: 10.1109/TSP.2023.3286954
22	LI X Z, WANG S Y, ZHENG D K. A DP-TBD algorithm with adaptive state transition set for maneuvering targets[C]//Proc. of the CIE International Conference on Radar, 2016.
23	WEN J , FU X J , CHANG J Y , et al. An improved de-interleaving algorithm of radar pulses based on SOFM with self-adaptive network topology[J]. Journal of Systems Engineering and Electronics, 2020, 31 (4): 712- 721. doi: 10.23919/JSEE.2020.000046
24	LI H B , MEHUL A , LE K J , et al. Sequential human gait classification with distributed radar sensor fusion[J]. IEEE Sensors Journal, 2021, 21 (6): 7590- 7603. doi: 10.1109/JSEN.2020.3046991
25	BETHI P , LINGA R C . GPS spoofing detection and mitigation for drones using distributed radar tracking and fusion[J]. IEEE Sensors Journal, 2022, 22 (11): 11122- 11134. doi: 10.1109/JSEN.2022.3168940
26	SUN J , YI W , PRAMOD K V . Resource scheduling for multi-target tracking in multi-radar systems with imperfect detection[J]. IEEE Trans.on Signal Processing, 2022, 70, 3878- 3893. doi: 10.1109/TSP.2022.3191800
27	HU A , ZUO L , PRAMOD K V . Resource allocation for distributed multitarget tracking in radar networks with missing data[J]. IEEE Trans.on Signal Processing, 2024, 72, 718- 734. doi: 10.1109/TSP.2024.3352915
28	ZHU Z H , STEVEN K , RAMACHANDRAN S R . Information-theoretic optimal radar waveform design[J]. IEEE Signal Processing Letters, 2017, 24 (3): 274- 278. doi: 10.1109/LSP.2017.2655879
29	YUAN T , KRISHNAN K , CHEN Q . Object matching for inter-vehicle communication systems—an IMM-based track association approach with sequential multiple hypothesis test[J]. IEEE Trans.on Intelligent Transportation Systems, 2017, 18 (12): 3501- 3512. doi: 10.1109/TITS.2017.2723894
30	LI K Y , ZHOU G J , CUI N G . Motion modeling and state estimation in range-squared coordinate[J]. IEEE Trans.on Signal Processing, 2022, 70, 5279- 5294. doi: 10.1109/TSP.2022.3220021
31	MAROM H , BARSHALOM Y , MILGROM B . Unbiased conversion of 3-D bistatic radar measurements to cartesian position[J]. IEEE Trans.on Aerospace and Electronic Systems, 2023, 59 (2): 1613- 1623. doi: 10.1109/TAES.2022.3203958
32	AUBRY A , BRACA P , MAIO A D , et al. 2-D PBR localization complying with constraints forced by active radar measurements[J]. IEEE Trans.on Aerospace and Electronic Systems, 2021, 57 (5): 2647- 2660. doi: 10.1109/TAES.2021.3067612
33	XU M M , BU X Z , YANG H Q . Dual-band infrared and geomagnetic fusion attitude estimation algorithm based on IMMEKF[J]. IEEE Trans.on Industrial Electronics, 2020, 68 (11): 11286- 11295.

参数	角域上限/(°)
参数	20	30	40	50	60
频率个数	30	22	15	13	8
平均检测概率	0.81	0.86	0.88	0.85	0.83

参数	起伏因子门限
参数	0.4	0.8	1.2	1.6	2.0
频率个数	4	9	15	20	28
平均检测概率	0.79	0.83	0.88	0.86	0.76

[1]	Zhuangzhuang CHEN, Liping SONG. Interacting multiple model Poisson multi-Bernoulli mixture filter for maneuvering targets tracking [J]. Systems Engineering and Electronics, 2024, 46(3): 786-794.
[2]	Hanshen ZHU, Wenhua HU, Baofeng GUO, Liting JIAO, Xiaoxiu ZHU, Chang'an ZHU. Bistatic ISAR sparse aperture maneuvering target MTRC compensation imaging algorithm [J]. Systems Engineering and Electronics, 2023, 45(7): 2022-2030.
[3]	Hongwei ZHANG. Dual-station unscented particle filter algorithm with spatiotemporal soft constraint [J]. Systems Engineering and Electronics, 2023, 45(5): 1261-1269.
[4]	Yuchao YANG, Ming FANG, Chenfan ZHAO, Gang FANG. Long-time coherent integration algorithm for high-speed maneuvering targets [J]. Systems Engineering and Electronics, 2023, 45(5): 1359-1370.
[5]	Weiyi CHEN, Fan HE, Guoqiang LIU, Weiwei MAO. Variable structure interactive multiple model filtering and smoothing algorithm [J]. Systems Engineering and Electronics, 2023, 45(12): 4005-4012.
[6]	Zilin HOU, Ting CHENG, Han PENG. GMPHD based on measurement conversion sequential filtering for maneuvering target tracking [J]. Systems Engineering and Electronics, 2022, 44(8): 2474-2482.
[7]	Guang ZHAI, Yanxin WANG, Yiyong SUN. Cooperative tracking filtering technology of multi-target based on low orbit satellite constellation [J]. Systems Engineering and Electronics, 2022, 44(6): 1957-1967.
[8]	Xiaohai WANG, Xiuyun MENG, Feng ZHOU, Wenjie QIU. Sliding mode guidance law with impact angle constraint based on bias proportional navigation [J]. Systems Engineering and Electronics, 2021, 43(5): 1295-1302.
[9]	Yu LU, Haibin WANG. Maneuvering target tracking algorithm for airborne passive coherent localization system [J]. Systems Engineering and Electronics, 2021, 43(4): 875-882.
[10]	Juqi YIN, Zhen YANG, Yazhong LUO, Jianyong ZHOU. Improved adaptive IMM algorithm for space maneuvering target tracking [J]. Systems Engineering and Electronics, 2021, 43(12): 3658-3666.
[11]	Xing CHEN, Zhanwu LI, An XU, Xiaodong HU. VSMM algorithm based on target maneuver pattern recognition [J]. Systems Engineering and Electronics, 2020, 42(5): 999-1006.
[12]	Qinhao ZHANG, Baiqiang AO, Qinxue ZHANG. Reinforcement learning guidance law of Q-learning [J]. Systems Engineering and Electronics, 2020, 42(2): 414-419.
[13]	LIU Dai, ZHAO Yongbo, ZHOU Yongwei, CHEN Mingzhe, LI Wei. Maneuvering target tracking algorithm aided by a high resolution range profile [J]. Systems Engineering and Electronics, 2019, 41(9): 1967-1972.
[14]	LIU Songtao, WANG Zhan, WEI Baoyan. Image tracking system for conventional moving target and abrupt maneuvering target [J]. Systems Engineering and Electronics, 2019, 41(8): 1692-1698.
[15]	JING Liang, ZHANG Zhongyang, CUI Naigang, WU Rong. Fixed time disturbance observer based terminal sliding mode guidance law [J]. Systems Engineering and Electronics, 2019, 41(8): 1820-1826.

Multi-radar waveform design based on heuristic frequency programming

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