Radar Data Error-correction Technique Based on Hilbert-Huang Transform

Abstract

Abstract: Radar tracking always causes data errors, but the current error processing algorithms can not satisfy the need of error correction. To esitimate the unknown data errors efficiently and improve the precision of data processing, a residual error diagnosing method was proposed based on Hilbert-Huang transform arithmetic. By the analysis using the obtained intrinsic mode function, the characteristics of residual error were fitted, and the error information were separated accurately. Experiments using the actual radar data show that the method is more effective and practical than others for post-mission high-precision data processing.

Key words: Hilbert-Huang transform, Empirical mode decomposition, Error analysis, Radar, Measurement parameter, Space measurement and control

YU Hui, HU Shao-Lin, LI Ping. Radar Data Error-correction Technique Based on Hilbert-Huang Transform[J]. Chinese Space Science and Technology, 2010, 30(6): 57-63.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: https://zgkjkxjs.magtechjournal.com/EN/

https://zgkjkxjs.magtechjournal.com/EN/Y2010/V30/I6/57

References

［1］刘利生.外测数据事后处理[M].北京:国防工业出版社,2000:12-13. LIU LISHENG. Postflight data processing of trajectory measurement [M]. Beijing: National Defence Industry Press, 2000:12-13. ［2］王敏,胡绍林,安振军.跟踪测量数据系统误差残差的影响分析[J].飞行力学,2004,22(1):74-78.WANG MIN, HU SHAOLIN, AN ZHENJUN. Influence analysis and its application for residuals of system error in tracking Data[J]. Flight Dynamics, 2004,22(1):74-78. ［3］周立锋,曹淑艳,姜大治.靶场雷达测量数据误差分析方法研究[J].雷达与对抗,2008，28(2):4-7. ZHOU LIFENG, CAO SHUYAN, JIANG DAZHI. A study on error analysis of radar measurement data in proving ranges[J]. Radar & Ecm, 2008, 28(2):4-7. ［4］黄满太.系统误差处理理论的方法综述[J].西部探矿工程,2008,28(2):4-7.HUANG MANTAI. Review on theories of processing system error[J]. WestChina Exploration Engineering, 2008,20(9):177-180. ［5］徐惠群,高秉亚.组网雷达系统误差的估计原理与性能分析[J].现代雷达,2009,31(5):39-42. XU HUIQUN, GAOBINGYA. Theory of system error estimation and its performance for network radar system[J]. Modern Radar, 2009, 31(5):39-42. ［6］HUANG N E, ZHENG SHEN, STEVEN R LONG. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis\[C\]//Proceedings of the Royal Society,1998,454:903-995. ［7］段丹辉.基于Hilbert-Huang变换的非平稳数据处理技术[D].北京：北京航空航天大学，2007:8-10.DUAN DANHUI. Non-stationary data processing based on HilbertHuang transform[D]. Beijing: Beihang University, 2007:8-10. ［8］孙艳争.EMD时频分析理论与应用研究[D].成都：电子科技大学,2004:30-31.SUN YANZHENG. EMD timefrequency analysis theory and its application[D]. Chengdu: Electronic Science and Technology University, 2004:30-31. ［9］钟佑明,秦树人,汤宝平.Hilbert-Huang 变换中的理论研究[J].振动与冲击,2002,21(4):15-17. ZHONG YOUMING, QIN SHUREN, TANG BAOPING. Study on the theory of Hilbert-Huang transform[J]. Journal of Vibration and Shock, 2002,21(4):15-17.

[1]	ZHANG Qingjun, NI Chong, DAI Chao, LIU Liping, TANG Zhihua, SHU Weiping. System design and key technologies of No.4 land exploration satellite 01 [J]. Chinese Space Science and Technology, 2025, 45(1): 1-11.
[2]	WANG Zhenxing, WANG Yubin, MAO Zhiyi, TIAN Xiaobin, LIU Zhijia, HUANG Yong, SHAO Mingxue. Design and on-orbit efficiency analysis of onboard GNSS system for LT4A satellite [J]. Chinese Space Science and Technology, 2025, 45(1): 12-23.
[3]	ZHONG Xingwang, YANG Ruiqiang, ZONG Nianke, WANG Dengfeng, ZHANG Wenhui , CAI Chungui, CHEN Sufang. Design and implementation of millimeter wave radar for lunar orbit rendezvous and docking [J]. Chinese Space Science and Technology, 2024, 44(6): 23-32.
[4]	LI Biao, ZHANG Congfa, SHENG Cong, FAN Junfeng, LIU Dong. Design and experiment of deployment mechanism for Mars subsurface radar [J]. Chinese Space Science and Technology, 2023, 43(5): 87-93.
[5]	YI Tianzhu, KANG Lihong, YU Xiaogang, SUN Xilong, ZUO Bin, ZHANG Yue, ZENG Liyi. Analysis of space-borne SAR system video imaging capacity model based on frame rate [J]. Chinese Space Science and Technology, 2023, 43(5): 132-137.
[6]	WANG Xiaohan, YAN Yi, FAN Yanan, LI Xue, MOU Jiao. Space emitter fine feature identification based on multi-domain fusion [J]. Chinese Space Science and Technology, 2023, 43(4): 126-136.
[7]	DENG Yunkai, ZHANG Heng, FAN Huaitao, YU Weidong, WANG Yu, TANG Xinming, GE Daqing, XU Feng, LIU Guoxiang. Forthcoming development trend of spaceborne SAR technology for earth environment monitoring [J]. Chinese Space Science and Technology, 2023, 43(2): 32-46.
[8]	HUANG Xuxing, YANG Yong, SHE Yuchen, JING Zhenhua, HU Xiuqing, GAO Xudong, LI Shuang. Analysis on geolocation error of FY-3D MERSI imaging [J]. Chinese Space Science and Technology, 2022, 42(4): 8-18.
[9]	WANG Cheng, ZHAO Haisheng, LIU Bo, CHEN Liang, XIAO Peng, LIU Lu, LIU Min, SUI Xianghong, GUO Wulong. Ionospheric sounding and compensation based on the spaceborne SA [J]. Chinese Space Science and Technology, 2022, 42(3): 114-123.
[10]	FAN Dongdong, LU Minjian, CHEN Chenxin, GAO Han, WEI Haoyun. Wind speed retrieval for BF-1 GNSSR satellites using geophysical model function method [J]. Chinese Space Science and Technology, 2022, 42(2): 125-133.
[11]	PENG Yaqi, LI Chonghui, WANG Yiwen, WEI Wulei, DING Baichao, LIU Yangqian. Error analysis and prediction of Klobuchar ionospheric model [J]. Chinese Space Science and Technology, 2021, 41(1): 48-54.
[12]	HU Mengxiao, LAI Jiazhe, XU Can. Attitude anomaly detection method for spatial target RCS sequence [J]. Chinese Space Science and Technology, 2019, 39(6): 72-.
[13]	ZHANG Tiangang，REN Tianpeng，XIE Jianfeng，LU Weitao，YIN Feifei. Spacecraft attitude measurement based on samebeam interferometry [J]. Chinese Space Science and Technology, 2019, 39(2): 19-26.
[14]	ZHOU Chi，LI Zhi，XU Can. Research on spatial target structure recognition based on deep neural network [J]. Chinese Space Science and Technology, 2019, 39(1): 32-.
[15]	WANG Dapeng, ZHOU Weijing, CAO Jihong, ZHANG Shan, SHI Xiaoyun, HE Long. A measurement method of dynamic thrust based on cantilever beam [J]. Chinese Space Science and Technology, 2018, 38(5): 63-71.