机载雷达地面静止目标二维检测算法

doi:10.12305/j.issn.1001-506X.2023.04.13

Abstract

Abstract:

For airborne wide-band radar, ground target expands in range direction, and range cell migrates in its echo data, which result in such problems as high false alarm and poor adaptability when applying traditional detection methods. This paper presents a two-dimensional ground stationary target detection algorithm for airborne radar based on multi-frame joint processing. This method adopts preliminary selection and accurate detection. Firstly, the radar main clutter data is extracted after range pulse the concept of compression and walk correction. Then, preliminary selection of echo data is achieved through calculation and sort of generalized inner product (GIP). Then, two-dimensional detection window and threshold are configured based on multi-frame joint processing, followed by the fast and fine detection of ground combat target. Finally, the experiments with both simulation and airborne flight test data validate the effectiveness of the proposed algorithm. The proposed algorithm can reduce detection false alarm effectively and improve processing efficiency and it is simple to operate and easy to implement.

Key words: airborne wide-band radar, ground stationary target, target detection, generalized inner product (GIP), joint multi-frame processing

CLC Number:

TN959.3

Ziqiang MENG, Wei GAO, Xiaoming LI. Two-dimensional ground stationary target detection algorithm for airborne radar[J]. Systems Engineering and Electronics, 2023, 45(4): 1040-1048.

Figures/Tables 10

Fig.1

Fig.2

Fig.3

Table 1

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Table 2

References 32

1	何晓晴, 徐永胜, 赵勇. 国外武装直升机火控雷达发展综述[J]. 电讯技术, 2005, 45 (2): 26- 31. doi: 10.3969/j.issn.1001-893X.2005.02.005
	HE X Q , XU Y S , ZHAO Y . An overview of the development of fire-control radar for attack helicopters[J]. Telecommunication Engineering, 2005, 45 (2): 26- 31. doi: 10.3969/j.issn.1001-893X.2005.02.005
2	WANG L P , HUANG Y , ZHAN R H , et al. Joint tracking and classification of extended targets using random matrix and bernoulli filter for time-varying scenarios[J]. IEEE Access, 2019, 129584- 129603.
3	WANG W T, TANG Z Y, XIANG J T, et al. A sorties recognition algorithm of formation targets for wide-band radar[C]//Proc. of the International Conference on Control, Automation and Information Sciences, 2019.
4	XU Z H , SHI Q . Interference mitigation for automotive radar using orthogonal noise waveforms[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15 (1): 137- 141. doi: 10.1109/LGRS.2017.2777962
5	ZHAN R H, WANG L P, ZHANG J. Joint target tracking and classification with scattering center model for radar sensor[C]//Proc. of the International Conference on Control, Automation and Information Sciences, 2019.
6	GRIMM C, BREDDERMANN T, FARHOUD R, et al. Discrimination of stationary from moving targets with recurrent neural networks in automotive radar[C]//Proc. of the IEEE MTT-S International Conference on Microwaves for Intelligent Mobility, 2018: 102-105.
7	CONTE E , MAIO A D , RICCI G . GLRT-based adaptive detection algorithms for range-spread targets[J]. IEEE Trans. on Signal Process, 2001, 49 (7): 1336- 1348. doi: 10.1109/78.928688
8	XIONG X, TANG Z Y, CHEN Y C, et al. Targets number detection for narrow-band radar based on fractional Fourier transform[C]//Proc. of the IEEE International Conference on Signal Processing, Communications and Computing, 2019.
9	LIU G Q , LI J . Moving target detection via airborne HRR phased array radar[J]. IEEE Trans. on Aerospace and Electronic Systems, 2001, 37 (3): 914- 924. doi: 10.1109/7.953246
10	JIAN T, HE Y, SU F, et al. Performance characterization of two adaptive range-spread target detectors for unwanted signal[C]//Proc. of the 9th International Conference on Signal Processing, 2008: 2326-2329.
11	苏娟, 杨龙, 黄华, 等. 用于SAR图像小目标舰船检测的改进SSD算法[J]. 系统工程与电子技术, 2020, 42 (5): 1026- 1034.
	SU J , YANG L , HUANG H , et al. Improved SSD algorithm for small-sized SAR ship detection[J]. Systems Engineering and Electronics, 2020, 42 (5): 1026- 1034.
12	WANG Y P, ZHANG Y B, QU H Q, et al. Target detection and recognition based on convolutional neural network for SAR image[C]//Proc. of the 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, 2018.
13	SHANG S Z, WU F W, ZHOU Y, et al. Moving target velocity estimation of video SAR based on shadow detection[C]//Proc. of the Cross Strait Radio Science & Wireless Technology Conference, 2020.
14	LI L , DU L , WANG Z C . Target detection based on dual-domain sparse reconstruction saliency in SAR images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (11): 4230- 4243. doi: 10.1109/JSTARS.2018.2874128
15	LI T , LIU Z , XIE R , et al. An improved superpixel-level CFAR detection method for ship targets in high-resolution SAR images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (1): 184- 194. doi: 10.1109/JSTARS.2017.2764506
16	XIE W T, DU L, DAI H, et al. A ship target detection method for SAR image based on local region[C]//Proc. of the International Radar Conference, 2019.
17	CHEN X L , SU N Y , HUANG Y , et al. False-alarm-controllable radar detection for marine target based on multi features fusion via CNNs[J]. IEEE Sensors Journal, 2021, 21 (7): 9099- 9111. doi: 10.1109/JSEN.2021.3054744
18	WU W , WANG G H , SUN J P . Polynomial radon-polynomial Fourier transform for near space hypersonic maneuvering target detection[J]. IEEE Trans. on Aerospace and Electronic Systems, 2018, 54 (3): 1306- 1322. doi: 10.1109/TAES.2017.2780658
19	XIAO D L, WANG L, WANG X D, et al. Motion error analysis for ISAR imaging of space targets[C]//Proc. of the CIE International Conference on Radar, 2016.
20	LI H, WU R B, WANG X H, et al. Detection of air maneuvering targets based on the reconstruction of the target signal[C]//Proc. of the IET International Radar Conference, 2013.
21	ZHAN M Y , HUANG P H , LIU X Z , et al. Space maneuvering target integration detection and parameter estimation for a spaceborne radar system with target doppler aliasing[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, 3579- 3594. doi: 10.1109/JSTARS.2020.3003809
22	YANG X P, LIU Y X, HU X N, et al. Robust generalized inner products algorithm using prolate spheroidal wave functions[C]//Proc. of the Radar Conference on Aerospace, Components and Signal Processing, 2012: 581-584.
23	RANGASWAMY M, HIMED B, MICHELS J H. Statistical analysis of the nonhomogeneity detector[C]//Proc of the 34th Asilomar Conference on Signals, Systems and Computers, 2000: 1117-1121.
24	LI B Q, REN G H, PAN Z S, et al. Moving target detection and tracking interactive algorithm based on acoustic image[C]//Proc. of the IEEE/OES China Ocean Acoustics, 2016.
25	LIU W J , LIU J , HAO C P , et al. Multichannel adaptive signal detection: Basic theory and literature review[J]. Science China Information Sciences, 2022, 65 (2): 1- 40.
26	RANGASWAMY M , MICHELS J H , HIMED B . Statistical analysis of the non-homogeneity detector for STAP applications[J]. Digital Signal Processing, 2004, 14 (3): 253- 267. doi: 10.1016/S1051-2004(03)00021-6
27	何友, 关键, 孟祥伟, 等. 雷达目标检测处理与恒虚警处理[M]. 2版北京: 清华大学出版社, 2011: 36- 50.
	HE Y , GUAN J , MENG X W , et al. Radar target detection and CFAR processing[M]. 2nd ed Beijing: Tsinghua University Press, 2011: 36- 50.
28	LI N , BIE B , SUN G C , et al. A high-squint TOPS SAR imaging algorithm for maneuvering platforms based on joint time-Doppler deramp without subaperture[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17 (11): 1899- 1903. doi: 10.1109/LGRS.2019.2959339
29	CHEN Z H, HOU Y S, LU R F, et al. On the Doppler centroid estimation of SAR system using coherence information[C]//Proc of the 6th Asia-Pacific Conference on Synthetic Aperture Radar, 2019.
30	MELVIN W L . A STAP overview[J]. IEEE Aerospace & Electronic Systems Magazine, 2004, 19 (1): 19- 35.
31	李涛. 宽带雷达检测的若干问题研究[D]. 西安: 西安电子科技大学, 2011.
	LI T. Study on some issues of wideband radar detection[D]. Xi'an: Xidian University, 2011.
32	STINCO P, GRECO M, GINI F. Adaptive detection in compound-Gaussian clutter with inverse-gamma texture[C]//Proc. of the IEEE CIE International Conference on Radar, 2011: 434-437.

参数	数值
载机速度/(m/s)	70
目标距离/km	15
发射信号带宽/MHz	300
脉冲重复频率/Hz	1 000
方位扫描范围/(°)	±15
坦克长度/m	8.2
卡车长度/m	6.8

检测方法	检测点个数	处理数据对应距离门数目
能量积累检测算法(一维检测窗)	53	3 334
能量积累检测算法(二维检测窗)	36	3 334
GIP检测处理方法(一维检测窗)	26	131
本文检测算法(二维检测窗)	12	148

[1]	Dongdong ZHANG, Chunping WANG, Qiang FU. Ship target detection in SAR image based on feature-enhanced network [J]. Systems Engineering and Electronics, 2023, 45(4): 1032-1039.
[2]	Yunpu ZHANG, Ganlin SHAN, Yan HUANG, Qiang FU. Multiple mobile sensors scheduling method for ground target detection and tracking considering blind zone [J]. Systems Engineering and Electronics, 2023, 45(2): 453-464.
[3]	Yu XIAO, Zhenghong DENG, Zhan ZHANG. Waveform design based on two-stage mutual information for multi-target detection [J]. Systems Engineering and Electronics, 2022, 44(9): 2736-2742.
[4]	Xiang LIU, Tianyao HUANG, Yimin LIU. Distributed target detection for frequency agile radars [J]. Systems Engineering and Electronics, 2022, 44(6): 1833-1838.
[5]	Xiaofeng ZHAO, Yebin XU, Fei WU, Jiahui NIU, Wei CAI, Zhili ZHANG. Ground infrared target detection method based on global sensing mechanism [J]. Systems Engineering and Electronics, 2022, 44(5): 1461-1467.
[6]	Wenxiao WEI, Jieyu LIU, Qiang SHEN, Cheng LI. Feature fusion small target detection algorithm based on human eye view-point map [J]. Systems Engineering and Electronics, 2022, 44(4): 1120-1127.
[7]	Xiaoya JIA, Hongqiao WANG, Yadan YANG, Zhongma CUI, Bin XIONG. Anchor free SAR image ship target detection method based on the YOLO framework [J]. Systems Engineering and Electronics, 2022, 44(12): 3703-3709.
[8]	Chunling XUE, Fei CAO, Qing SUN, Jianqiang QIN, Xiaowei FENG. Sea-surface weak target detection based on multi-feature information fusion [J]. Systems Engineering and Electronics, 2022, 44(11): 3338-3345.
[9]	Tao JIN, Di ZHU, Jieying HE, Wenyu WANG. Study on the characteristics of high terahertz band atmospheric background radiation observed from satellites [J]. Systems Engineering and Electronics, 2022, 44(10): 3003-3011.
[10]	Yonggang LI, Weigang ZHU, Qiongnan HUANG, Yuntao LI, Yonghua HE. Near-shore ship target detection with SAR images in complex background [J]. Systems Engineering and Electronics, 2022, 44(10): 3096-3103.
[11]	Shufeng GONG, Weijun LONG, De BEN, Minghai PAN. Adaptive fuzzy CFAR detection fusion algorithm for netted radar [J]. Systems Engineering and Electronics, 2022, 44(1): 100-107.
[12]	Wei YANG, Yongxiang LIU, Yaowen FU, Xiang LI. Robust radar target detection method based on continuous belief function theory [J]. Systems Engineering and Electronics, 2021, 43(9): 2463-2469.
[13]	Yanling SHI, Zipeng LIU, Xueliang ZHANG, Weiliang GU. Feature detection of floating small target on the sea surface based on EMD energy proportion [J]. Systems Engineering and Electronics, 2021, 43(2): 300-310.
[14]	Ning WANG, Ming ZHOU, Guoqing LIU, Yuhao YANG, Jun SUN. Interframe noncoherent integration technology based on Chirp Z transform for sea surface target [J]. Systems Engineering and Electronics, 2021, 43(2): 383-389.
[15]	Ruochen ZHAO, Jingdong WANG, Siyu LIN, Dongze GU. Small building detection algorithm based on convolutional neural network [J]. Systems Engineering and Electronics, 2021, 43(11): 3098-3106.

Two-dimensional ground stationary target detection algorithm for airborne radar

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 32

Related Articles 15

Recommended Articles

Metrics

Comments