ISAR成像系统的二维资源自适应调度算法

doi:10.3969/j.issn.1001-506X.2020.02.12

系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (2): 339-345.doi: 10.3969/j.issn.1001-506X.2020.02.12

ISAR成像系统的二维资源自适应调度算法

杜毅¹(), 廖可非^1,²(), 欧阳缮^1,²(), 陈怡君³()

1. 桂林电子科技大学信息与通信学院, 广西桂林 541004
2. 桂林电子科技大学卫星导航定位与位置服务国家地方联合工程研究中心, 广西桂林 541004
3. 武警工程大学信息工程学院, 陕西西安 710086

收稿日期:2019-04-11 出版日期:2020-02-01 发布日期:2020-01-23
作者简介:杜毅(1995-),男,硕士研究生,主要研究方向为雷达信号处理、雷达组网资源管控。E-mail:duyi412@126.com|廖可非(1984-),男,讲师,博士,主要研究方向为雷达成像、RCS测量、认知雷达。E-mail:kefeiliao@guet.edu.cn|欧阳缮(1960-),男,教授,博士,主要研究方向为雷达信号处理、通信信号处理。E-mail:hmoysh@guet.edu.cn|陈怡君(1989-),女,讲师,博士,主要研究方向为认知成像与目标识别。E-mail:chenyijun519@126.com
基金资助:
国家自然科学基金(61631019);国家自然科学基金(61701128);国家自然科学基金(618714259);广西自然科学基金(2017GXNSFBA198032);桂林电子科技大学研究生优秀学位论文培育项目(17YJPYSS11)

Two-dimensional resource adaptive scheduling algorithm for ISAR imaging system

Yi DU¹(), Kefei LIAO^1,²(), YANG Shan OU^1,²(), Yijun CHEN³()

1. School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China
2. State and Local Joint Engineering Research Center for Satellite Navigation andLocation Service, Guilin University of Electronic Technology, Guilin 541004, China
3. College ofInformation Engineering, Engineering University of CAPF, Xi'an 710086, China

Received:2019-04-11 Online:2020-02-01 Published:2020-01-23
Supported by:
国家自然科学基金(61631019);国家自然科学基金(61701128);国家自然科学基金(618714259);广西自然科学基金(2017GXNSFBA198032);桂林电子科技大学研究生优秀学位论文培育项目(17YJPYSS11)

摘要/Abstract

摘要：

现有认知雷达成像系统的资源调度策略只从距离向(或波形设计)或者方位向一个维度进行资源调度,没有充分分配和利用雷达系统资源,为此提出了一种针对步进频率逆合成孔径雷达成像系统的二维资源自适应调度算法,来进一步提高雷达系统的工作效率。该算法在对目标特征认知的基础上,根据压缩感知原理,计算对目标二维稀疏观测所需脉冲资源,依据二维资源调度模型,自适应分配二维脉冲资源,实现对多目标的交替稀疏观测成像。最后通过仿真验证了算法的可行性并与常规算法相比在资源饱和的情况下,可以执行更多的成像任务。

关键词: 步进频率, 逆合成孔径雷达, 压缩感知, 资源调度, 认知成像

Abstract:

The resource scheduling strategy of the existing cognitive radar imaging system only performs resource scheduling from one dimension that distance (waveform design) or azimuth, which doesn't adequately allocate and utilize radar system resources. Therefore, a two-dimensional resource adaptive scheduling algorithm is proposed for the stepped frequency inverse synthetic aperture radar imaging system to improve the efficiency of the radar system. Based on the recognition of target's features and according to the principle of compressed sensing, the proposed algorithm calculates the pulse resources required for two-dimensional sparse imaging of targets. Then, according to the two-dimensional resource scheduling model, the two-dimensional pulse resources are adaptively allocated to realize the alternate observation of the target. Two-dimensional image of target is obtained by the sparse imaging algorithm. Finally, the feasibility of the algorithm is verified by simulation, and more imaging tasks can be performed compared with the traditional algorithm in the case of resource saturation.

Key words: step frequency, inverse synthetic aperture radar, compressive sensing, resource scheduling, cognitive imaging

中图分类号:

V243.2

杜毅, 廖可非, 欧阳缮, 陈怡君. ISAR成像系统的二维资源自适应调度算法[J]. 系统工程与电子技术, 2020, 42(2): 339-345.

Yi DU, Kefei LIAO, YANG Shan OU, Yijun CHEN. Two-dimensional resource adaptive scheduling algorithm for ISAR imaging system[J]. Systems Engineering and Electronics, 2020, 42(2): 339-345.

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参数	目标1	目标2	目标3	目标4
距离R/km	7	9	11	8
速度V/(m/s)	550	450	600	400
航向θ/(°)	0	10	-15	0
高度H/km	0.5	0.7	0.9	0.8
尺寸S/m²	517	560	644	506
S_x/m	24	20	28	23

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ISAR成像系统的二维资源自适应调度算法

Two-dimensional resource adaptive scheduling algorithm for ISAR imaging system

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参数	目标1	目标2	目标3	目标4
${{\hat S}_{yj}}$/m	21	28	23	21
${{\hat S}_{xj}}$ /m	25	21	27	24
步长Δ f_j /MHz	6	5	5	6
稀疏度${{\hat K}_j}$	27	24	36	31
脉冲串M_j	91	90	122	143
稀疏脉冲串L_j	60	53	85	76
稀疏度${{K'}_j}$	20	16	21	22
子脉冲N_j	50	62	51	50
稀疏子脉冲Z_j	39	38	40	42
威胁度S_j	0.762 1	0.803 9	0.262 5	0.574 7