机载宽带雷达的数据重组空时自适应处理方法

doi:10.12305/j.issn.1001-506X.2023.06.11

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (6): 1675-1683.doi: 10.12305/j.issn.1001-506X.2023.06.11

• 传感器与信号处理 • 上一篇

机载宽带雷达的数据重组空时自适应处理方法

冯建婷¹, 王彤¹^,*, 丁军², 路彤¹

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. 西安电子科技大学信息感知集成攻关研究院, 陕西西安 710071

收稿日期:2022-03-28 出版日期:2023-05-25 发布日期:2023-06-01
通讯作者: 王彤
作者简介:冯建婷 (1996—), 女, 硕士, 主要研究方向为宽带雷达信号处理、空时自适应信号处理
王彤 (1974—), 男, 教授, 博士, 主要研究方向为阵列信号处理、空时自适应信号处理、机载雷达运动目标检测
丁军 (1982—), 男, 讲师, 博士, 主要研究方向为雷达信号处理、雷达目标识别
路彤 (1996—), 男, 硕士研究生, 主要研究方向为空时自适应信号处理

Data reorganization space-time adaptive processing method for airborne broadband radar

Jianting FENG¹, Tong WANG¹^,*, Jun DING², Tong LU¹

1. National key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
2. Institute of Information Sensing, Xidian University, Xi'an 710071, China

Received:2022-03-28 Online:2023-05-25 Published:2023-06-01
Contact: Tong WANG

摘要/Abstract

摘要：

机载宽带雷达具有更高的距离分辨率, 有利于目标成像或识别。但是，提高分辨率也使目标信号和杂波信号在脉冲间和(或)阵元间距离走动量增加。若采用窄带空时自适应处理方法, 则会导致输出信杂噪比严重下降。针对上述问题, 提出了一种数据重组空时自适应处理方法。首先, 针对待检测速度-角度重组回波数据, 使不同脉冲及阵元的目标信号包络对齐; 然后, 进行距离维数据重组空时处理, 并将输出信号作为检验统计量; 最后, 给出目标角度和速度搜索方法。所提方法降低了相干积累后的目标能量损失，提高了目标检测和杂波抑制性能。仿真实验验证了所提方法的有效性。

关键词: 机载宽带雷达, 空时自适应处理, 距离走动, 数据重组

Abstract:

Airborne broadband radar has higher range resolution, which is conducive to target imaging or recognition. However, higher resolution also makes the range migration between the array elements and/or pulses of the target signal and clutter signal more obvious. If the narrowband space-time adaptive processing is performed, the output signal-to-noise ratio is seriously reduced. To solve this problem, an data reorganization space-time adaptive processing method for airborne broadband radar is proposed. Firstly, the echo data is reorganized according to the velocity-angle to be detected, so that the target signal envelopes of different pulses and different array elements are aligned. Then, the range-dimension reorganization space-time processing is performed, and the output signal is used as the test statistics data. Finally, the target angle and velocity search method are given. This method reduces the target energy loss of coherent accumulation. The performance of target detection and clutter suppression is improved. Simulation results verify the effectiveness of the proposed method.

Key words: airborne broadband radar, space-time adaptive processing, range migration, data reorganization

中图分类号:

TN958

冯建婷, 王彤, 丁军, 路彤. 机载宽带雷达的数据重组空时自适应处理方法[J]. 系统工程与电子技术, 2023, 45(6): 1675-1683.

Jianting FENG, Tong WANG, Jun DING, Tong LU. Data reorganization space-time adaptive processing method for airborne broadband radar[J]. Systems Engineering and Electronics, 2023, 45(6): 1675-1683.

图/表 10

图1

表1

图2

图3

图4

图5

图6

表2

图7

图8

参考文献 20

1	王德纯. 宽带相控阵雷达[M]. 北京: 国防工业出版社, 2010.
	WANG D C . Wideband phased array radar[M]. Beijing: National Defense Industry Press, 2010.
2	GAO B D , ZHANG F Z , SUN G Q , et al. Microwave photonic MIMO radar for high-resolution imaging[J]. Journal of Lightwave Technology, 2021, 39 (24): 7726- 7733. doi: 10.1109/JLT.2021.3070591
3	TIAN B , LIU Y , HU P J , et al. Review of high-resolution imaging techniques of wideband inverse synthetic aperture radar[J]. Journal of Radars, 2020, 9 (5): 765- 802.
4	WEI S P , ZHANG L , LIU H W . Integrated kalman filter of accurate ranging and tracking with wideband radar[J]. IEEE Trans.on Geoscience and Remote Sensing, 2020, 58 (12): 8395- 8411. doi: 10.1109/TGRS.2020.2987854
5	FROST O L . An algorithm for linearly constrained adaptive array processing[J]. Proc.of the IEEE, 1972, 60 (8): 926- 935. doi: 10.1109/PROC.1972.8817
6	RAABE H P . Fast beamforming with circular receiving arrays[J]. IBM Journal of Research and Development, 1976, 20 (4): 398- 408. doi: 10.1147/rd.204.0398
7	CHEN X Z, SHU T, YU K B, et al. Efficient time delay compensation at beamforming using subband decomposition for wideband phased array radar[C]//Proc. of the IEEE CIE International Conference on Radar, 2016.
8	CHEN X Z , SHU T , YU K B , et al. Implementation of an adaptive wideband digital array radar processor using subbanding for enhanced jamming cancellation[J]. IEEE Trans.on Aerospace and Electronic Systems, 2020, 57 (2): 762- 775.
9	LIU W , LANGLEY R J . An adaptive wideband beamforming structure with combined subband decomposition[J]. IEEE Trans.on Antennas and Propagation, 2009, 57 (7): 2204- 2207. doi: 10.1109/TAP.2009.2021978
10	LIU W . Adaptive wideband beamforming with sensor delay-lines[J]. Signal Processing, 2009, 89 (5): 876- 882. doi: 10.1016/j.sigpro.2008.11.005
11	XU R Q, CAO Z D, LIU Y T. Method of precise motion compensation for ISAR[C]//Proc. of the SPIE Annual Techincal Symposium. International Society for Optics and Photonics, 1989, 1152: 288-297.
12	WANG J F , DAYALAN K . Global range alignment for ISAR[J]. IEEE Trans.on Aerospace and Electronic Systems, 2003, 39 (1): 351- 357. doi: 10.1109/TAES.2003.1188917
13	FLORES B C. Robust method for the motion compensation of ISAR imagery[C]//Proc. of the Robotics'91, 1992, 1607: 512-517.
14	FLORES B C, MARTINEZ A, CHEN C J. Radial motion compensation based on adaptive profile estimation[C]//Proc. of the SPIE Radar Processing and Applications, 1995, 2562: 9-20.
15	THOMAS G, CABRERA S D, FLORES B C. Selective motion compensation in ISAR imagery using time-frequency filtering[C]// Proc. of the Conference on Aerospace/Defence Sensing and Controls, 1996, 2757: 14-24.
16	PERRY R P , DIPIETRO R C , FANTE R L . SAR imaging of moving targets[J]. IEEE Trans.on Aerospace and Electronic Systems, 1999, 35 (1): 188- 200. doi: 10.1109/7.745691
17	ZHAN M Y , HUANG P H , ZHU S Q , et al. A modified keystone transform matched filtering method for space-moving target detection[J]. IEEE Trans.on Geoscience and Remote Sensing, 2022, 60, 1- 16.
18	ZHENG J B , ZHU K L , NIU Z Y , et al. Generalized dechirp-Keystone transform for radar high-speed maneuvering target detection and localization[J]. Remote Sensing, 2021, 13 (17): 3367. doi: 10.3390/rs13173367
19	翟心蝶, 杨刚, 廉杰. 基于二阶Keystone的微弱运动目标检测[J]. 现代防御技术, 2021, 49 (3): 105- 114.
	ZHAI X D , YANG G , LIAN J . Weak moving target detection based on second-order keystone transform[J]. Modern Defense Technology, 2021, 49 (3): 105- 114.
20	WARD J. Space-time adaptive processing for airborne radar[R]. Lexington: MIT Lincoln Laboratory, 1994: 20-24.

参数	取值
带宽/MHz	1 000
平台高度/m	8 000
平台飞行速度/(m·s^-1)	400
脉冲重复频率/Hz	8 000
载波波长/m	0.3
阵元间隔/m	0.1

参数	取值
带宽/MHz	100
平台高度/m	8 000
脉冲重复频率/Hz	8 000
阵元数/个	32
阵元间隔/m	0.3
脉冲数/个	32
载波波长/m	0.6

[1]	杨宇超, 方明, 赵晨帆, 方刚. 高速机动目标长时间相参积累算法[J]. 系统工程与电子技术, 2023, 45(5): 1359-1370.
[2]	孟自强, 高伟, 李晓明. 机载雷达地面静止目标二维检测算法[J]. 系统工程与电子技术, 2023, 45(4): 1040-1048.
[3]	李海, 程伟杰, 谢瑞杰. 基于同伦稀疏STAP的低空风切变风速估计[J]. 系统工程与电子技术, 2022, 44(4): 1174-1181.
[4]	杨兴家, 段克清, 李想, 祁炜. 无人机集群协同探测距离解模糊方法[J]. 系统工程与电子技术, 2022, 44(2): 480-489.
[5]	庞晓娇, 赵永波, 曹成虎, 胡毅立, 陈胜. 基于协方差拟合准则的降维空时自适应处理方法[J]. 系统工程与电子技术, 2022, 44(1): 86-93.
[6]	陈小舟, 邢庆君, 张立东. 对机载预警雷达STAP的慢时调频干扰方法[J]. 系统工程与电子技术, 2021, 43(11): 3177-3184.
[7]	赵燕慧, 汤建龙, 李骥阳, 毕鲁浩. 对降维STAP机载雷达的延时混叠转发干扰方法分析[J]. 系统工程与电子技术, 2020, 42(8): 1718-1725.
[8]	田明明, 廖桂生, 李云鹏, 朱圣棋. 超高速平台载雷达杂波特性与抑制方法[J]. 系统工程与电子技术, 2020, 42(2): 301-308.
[9]	肖浩, 王彤, 文才, 苏昱煜. 一种迭代可分离的机载面阵雷达杂波抑制方法[J]. 系统工程与电子技术, 2020, 42(11): 2461-2470.
[10]	李浩冬, 廖桂生, 许京伟. 弹载雷达和差通道稳健自适应杂波抑制方法[J]. 系统工程与电子技术, 2019, 41(2): 273-279.
[11]	庞晓娇, 赵永波, 曹成虎, 徐保庆, 陈胜. 基于时域自适应FIR滤波的空时处理方法[J]. 系统工程与电子技术, 2019, 41(12): 2669-2674.
[12]	李志汇, 张永顺, 高乾, 郭艺夺, 王强, 刘洋. 基于局部搜索OMP的网格失配STAP算法[J]. 系统工程与电子技术, 2018, 40(6): 1221-1226.
[13]	王晓明, 李军, 张圣鹋, 卢燕, 张永杰. 基于稀疏恢复谱相似度的自适应样本筛选算法[J]. 系统工程与电子技术, 2018, 40(5): 976-981.
[14]	龚清勇, 王成燕. 基于稀疏样本选优的机载雷达动目标检测算法[J]. 系统工程与电子技术, 2018, 40(5): 1012-1017.
[15]	冯阳, 廖桂生, 许京伟. 机载雷达超低空多径目标稳健STAP方法[J]. 系统工程与电子技术, 2017, 39(7): 1464-1470.

机载宽带雷达的数据重组空时自适应处理方法

Data reorganization space-time adaptive processing method for airborne broadband radar

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 20

相关文章 15

编辑推荐

Metrics

本文评价