ISAR Resource Scheduling of Multiple Micro-Motion Targets Based on Genetic-Heuristic Algorithm

WANG Yue; HUANG Lu; QI Hao-fan; TIAN Xu-dong; BAI Xue-ru

doi:10.12263/DZXB.20210813

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ISAR Resource Scheduling of Multiple Micro-Motion Targets Based on Genetic-Heuristic Algorithm

PAPERS | 更新时间：2025-12-08

- ISAR Resource Scheduling of Multiple Micro-Motion Targets Based on Genetic-Heuristic Algorithm
- ACTA ELECTRONICA SINICA Vol. 51, Issue 6, Pages: 1421-1429(2023)
- 作者机构：
  
  1.西安电子科技大学雷达信号处理国家重点实验室,陕西西安 710071
  2.北京跟踪与通信技术研究所,北京 100094
  3.西安电子科技大学电子信息攻防对抗与仿真技术教育部重点实验室,陕西西安 710071
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(62131020;61971332;61631019)
- DOI：10.12263/DZXB.20210813
  CLC： TN957;
- Received：30 June 2021，
  
  Revised：2022-06-14，
  
  Published：25 June 2023
- 稿件说明：
移动端阅览
王樾,黄璐,祁浩凡等.基于遗传-启发算法的微动目标认知ISAR成像资源调度[J].电子学报,2023,51(06):1421-1429.

WANG Yue,HUANG Lu,QI Hao-fan,et al.ISAR Resource Scheduling of Multiple Micro-Motion Targets Based on Genetic-Heuristic Algorithm[J].ACTA ELECTRONICA SINICA,2023,51(06):1421-1429.
王樾,黄璐,祁浩凡等.基于遗传-启发算法的微动目标认知ISAR成像资源调度[J].电子学报,2023,51(06):1421-1429. DOI： 10.12263/DZXB.20210813.

WANG Yue,HUANG Lu,QI Hao-fan,et al.ISAR Resource Scheduling of Multiple Micro-Motion Targets Based on Genetic-Heuristic Algorithm[J].ACTA ELECTRONICA SINICA,2023,51(06):1421-1429. DOI： 10.12263/DZXB.20210813.

摘要

认知逆合成孔径雷达（Inverse Synthetic Aperture Radar，ISAR）将认知雷达理论与ISAR成像技术相结合，利用目标与环境的离线先验知识及在线感知结果，提升ISAR在复杂环境下的成像能力.与传统单脉冲雷达相比较，相控阵ISAR可实现波束的快速扫描，因此具备多目标观测能力.在实际空间微动目标成像场景中，相控阵ISAR很可能存在多波束多目标情况.为实现系统效能的充分发挥，需要在系统能量、时间资源有限条件下实现成像任务有效调度.然而，面向成像任务的资源调度方法主要针对刚体目标，其约束条件及调度模型并不适用于微动目标，并且存在求解方法稳定性差、调度成功率不高等问题.此外，微动目标运动形式复杂，回波非平稳性很强，且方位缺损时难以聚焦成像.因此，迫切需要针对微动目标的特性，研究有效的ISAR资源调度和高分辨成像方法.针对上述问题，本文提出基于遗传-启发算法的微动目标认知ISAR成像资源调度方法.该方法首先根据微动目标认知结果计算其成像所需的雷达资源及综合优先级；接着基于脉冲交错技术，在时间、能量双重约束下建立微动多目标资源调度模型.在此基础上，本文提出了基于遗传-启发算法的最优调度求解方法.进一步，针对资源调度导致微动目标回波缺损，难以聚焦成像的问题，本文提出了基于交替方向乘子法（Alternating Direction Method of Multipliers，ADMM）的距离-瞬时多普勒（Range-Instantaneous Doppler，RID）成像方法，从而实现成功调度任务对应微动目标回波的高分辨聚焦成像.实验结果表明，相比于现有资源调度方法，本文所提方法调度结果更为稳定，调度成功率更高，并可实现回波缺损时的微动目标聚焦成像.

Abstract

By including cognitive theory

cognitive inverse synthetic aperture radar (ISAR) has improved on the imaging capability of ISAR for targets in complex environments through the use of offline prior knowledge and online perception results of the target and environment. Compared with traditional monopulse radar

phased-array ISAR achieves rapid beam scanning through the control of the phase of each antenna element in the antenna array and can therefore observe multiple targets. Multi-beam and multi-target situations are likely to exist in practical spatial micro-motion target imaging scenarios of phased-array ISAR. When there are multiple spatial micro-motion targets in multiple radar beams

the success rate of imaging task scheduling is usually low

which limits the full exploitation of the ISAR effectiveness. In fully realizing system efficiency

imaging tasks need to be effectively scheduled under limited system energy and time resources.

Resource scheduling methods for imaging tasks are mainly aimed at rigid targets. The basic idea is to adopt sparse aperture ISAR imaging in constructing the optimal scheduling model under the radar resource constraints and then use a heuristic algorithm to solve the model. However

the constraint conditions and scheduling models of exiting methods are not suitable for micro-motion targets

and the adopted heuristic algorithm usually has poor stability and a low scheduling success rate. In addition

the motions of micro-motion targets are usually complex and their echoes are strongly non-stationary

making it difficult to achieve focused imaging in scenarios of data corruption. There is thus an urgent need to study effective resource scheduling and high-resolution imaging methods for ISAR based on the characteristics of micro-motion targets.

To tackle the above issues

this paper proposes a cognitive ISAR resource scheduling method based on a genetic heuristic algorithm for the imaging of multiple micro-motion targets. This method first calculates the radar resources and comprehensive priorities required for imaging according to the cognized characteristics of micro-motion targets. On this basis

the normalized available energy is proposed as a metric of the resource scheduling performance. Then

adopting pulse interleaving

a resource scheduling model for multiple micro-motion targets is established under the dual constraints of time and energy. Furthermore

to address the issues that the modeling struggles to provide analytical solutions and the low stability of the existing solution methods

an optimal scheduling solution method based on a genetic heuristic algorithm is proposed. The proposed method improves the scheduling success rate and the stability of the scheduling results. Furthermore

to tackle the issue that it is difficult to achieve focused imaging when the echoes of micro-motion targets are missing because of resource scheduling

a method based on the alternating direction method of multipliers is adopted to achieve range-instantaneous Doppler imaging. The high-resolution focused imaging of the micro-motion targets corresponding to the successfully scheduled imaging tasks is thus achieved.

Experimental results show that compared with the existing resource scheduling method based on a heuristic algorithm

the proposed method has greater stability and a higher success rate in resource scheduling and can achieve focused imaging of the micro-motion targets in a pulse interleaving situation.

关键词

Keywords

references

BAI X R , WANG G , LIU S Q , et al . High-resolution radar imaging in low SNR environments based on expectation propagation [J]. IEEE Transactions on Geoscience and Remote Sensing , 2021 , 59 ( 2 ): 1275 - 1284 .

KANG L , LUO Y , ZHANG Q , et al . 3-D scattering image sparse reconstruction via radar network [J]. IEEE Transactions on Geoscience and Remote Sensing , 2022 , 60 : 1275 - 1284 .

杨虹 , 张雅声 , 徐灿 . 基于trace特征的ISAR像空间目标识别 [J]. 电子学报 , 2020 , 48 ( 3 ): 431 - 441 .

YANG H , ZHANG Y S , XU C . Space target recognition based on trace feature of ISAR image [J]. Acta Electronica Sinica , 2020 , 48 ( 3 ): 431 - 441 . (in Chinese)

李东 , 赵婷 , 宋伟 , 等 . 一种低信噪比下稳健的ISAR平动补偿方法 [J]. 电子学报 , 2018 , 46 ( 9 ): 2049 - 2056 .

LI D , ZHAO T , SONG W , et al . A robust translational motion compensation method for ISAR imaging under low SNR environment [J]. Acta Electronica Sinica , 2018 , 46 ( 9 ): 2049 - 2056 . (in Chinese)

HAYKIN S , XUE Y B , DAVIDSON T N . Optimal waveform design for cognitive radar [C]// 2008 42nd Asilomar Conference on Signals, Systems and Computers . Pacific Grove : IEEE , 2008 : 3 - 7 .

CHARLISH A , HOFFMANN F , DEGEN C , et al . The development from adaptive to cognitive radar resource management [J]. IEEE Aerospace and Electronic Systems Magazine , 2020 , 35 ( 6 ): 8 - 19 .

GIUSTI E , SAVERINO A L , MARTORELLA M , et al . A rule-based cognitive radar design for target detection and imaging [J]. IEEE Aerospace and Electronic Systems Magazine , 2020 , 35 ( 6 ): 34 - 44 .

陈怡君 , 张群 , 罗迎 , 等 . 基于稀疏孔径ISAR成像的雷达资源自适应调度算法 [J]. 弹箭与制导学报 , 2013 , 33 ( 4 ): 171 - 176 .

CHEN Y J , ZHANG Q , LUO Y , et al . Adaptive scheduling algorithm for radar based on sparse aperture ISAR imaging [J]. Journal of Projectiles, Rockets, Missiles and Guidance , 2013 , 33 ( 4 ): 171 - 176 . (in Chinese)

孟迪 , 张群 , 罗迎 , 等 . 基于脉冲交错的ISAR成像雷达资源自适应调度算法 [J]. 空军工程大学学报(自然科学版) , 2017 , 18 ( 2 ): 25 - 31 .

MENG D , ZHANG Q , LUO Y , et al . An adaptive scheduling algorithm for ISAR imaging radar based on pulse interleaving [J]. Journal of Air Force Engineering University(Natural Science Edition) , 2017 , 18 ( 2 ): 25 - 31 . (in Chinese)

LIU X W , ZHANG Q , LUO Y , et al . ISAR imaging task allocation for multi-target in radar network based on potential game [J]. IEEE Sensors Journal , 2019 , 19 ( 23 ): 11192 - 11204 .

BAI X R , ZHOU F , BAO Z . High-resolution three-dimensional imaging of space targets in micromotion [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2015 , 8 ( 7 ): 3428 - 3440 .

BAI X R , ZHOU F , HUI Y . Obtaining JTF-signature of space-debris from incomplete and phase-corrupted data [J]. IEEE Transactions on Aerospace and Electronic Systems , 2017 , 53 ( 3 ): 1169 - 1180 .

CHEN Y J , ZHANG Q , YUAN N , et al . An adaptive ISAR-imaging-considered task scheduling algorithm for multi-function phased array radars [J]. IEEE Transactions on Signal Processing , 2015 , 63 ( 19 ): 5096 - 5110 .

王樾 . 认知ISAR关键技术研究 [D]. 西安 : 西安电子科技大学 , 2020 .

WANG Y . Study on Key Technologies of Cognitive ISAR [D]. Xi'an : Xidian University , 2020 . (in Chinese)

陈鑫康 . 认知ISAR波形设计与高分辨成像及资源调度方法研究 [D]. 西安 : 西安电子科技大学 , 2019 .

CHEN X K . Study on Waveform Design, High-Resolution Imaging, and Resources Scheduling for Cognitive ISAR [D]. Xi'an : Xidian University , 2019 . (in Chinese)

万铮 , 孟庆鹏 . 含时间窗的资源调度算法性能分析 [J]. 雷达与对抗 , 2018 , 38 ( 4 ): 7 - 10, 33 .

WAN Z , MENG Q P . Performance analaysis of resource scheduling algorithm with time window [J]. Radar ＆ ECM , 2018 , 38 ( 4 ): 7 - 10, 33 . (in Chinese)

SHIH C S , GOPALAKRISHNAN S , GANTI P , et al . Template-based real-time dwell scheduling with energy constraint [C]// Proceedings of the 9th IEEE Real-Time and Embedded Technology and Applications Symposium , 2003 . Toronto : IEEE , 2003: 19 - 27 .

张浩为 , 谢军伟 , 胡祺勇 , 等 . 数字阵列雷达在线交错调度算法 [J]. 电子学报 , 2019 , 47 ( 6 ): 1260 - 1266 .

ZHANG H W , XIE J W , HU Q Y , et al . Online interleaving task scheduling for digital array radar [J]. Acta Electronica Sinica , 2019 , 47 ( 6 ): 1260 - 1266 . (in Chinese)

NING Y , BAI X R , ZHOU F , et al . Method for inverse synthetic aperture radar imaging of space debris using improved genetic algorithm [J]. IET Radar , Sonar & Navigation, 2017 , 11 ( 5 ): 812 - 821 .

祁浩凡 . 逆合成孔径雷达多目标高分辨成像方法研究 [D]. 西安 : 西安电子科技大学 , 2021 .

QI H F . Study on High-Resolution Inverse Synthetic Aperture Radar Imaging of Multiple Targets [D]. Xi'an : Xidian University , 2021 . (in Chinese)

薛高茹 , 梁彦 , 谯平 , 等 . 基于EM的主动段弹道导弹跟踪算法研究 [J]. 电子学报 , 2017 , 45 ( 7 ): 1770 - 1774 .

XUE G R , LIANG Y , QIAO P , et al . Research on boost-phase ballistic missile tracking algorithm using EM [J]. Acta Electronica Sinica , 2017 , 45 ( 7 ): 1770 - 1774 . (in Chinese)

ZHANG F , TIAN K S , XI M L . The ballistic missile tracking method using dynamic model [C]// Proceedings of 2011 IEEE CIE International Conference on Radar . Proceedings : IEEE , 2011 : 789 - 794 .

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