海杂波背景下基于MBMC的低空风切变风速估计方法

doi:10.3969/j.issn.1001-506X.2020.11.09

Abstract

Abstract:

When the airborne weather radar detects low-altitude wind shear under the background of sea clutter, the sea clutter signal will cover the low-altitude wind shear signal, making it impossible to accurately estimate the wind speed. In view of the above problems, a low-altitude wind shear wind speed estimation method is proposed based on multi-beam multi-cascade (MBMC) under the background of sea clutter. Firstly, This method uses the space-time interpolation algorithm to correct the distance dependence of the airborne forward-looking sea clutter, and then cascades the Doppler filter to the output of the adjacent multi-beam in the spatial domain joint sliding three times in the time domain, constructing a dimensionality reduction matrix, performing joint adaptive processing in space and time domains, and finally constructing a cost function to estimate the wind field velocity. The simulation results show that the proposed method can accurately estimate the wind speed under the background of sea clutter, and has good robustness.

Key words: airborne weather radar, low-altitude wind shear, wind speed estimation, sea clutter

CLC Number:

TN959.4

Hai LI, Zhixin LIU, Weijie CHENG, Zibo ZHUANG, Yi FAN. Low-altitude wind shear wind speed estimation method based on MBMC under sea clutter[J]. Systems Engineering and Electronics, 2020, 42(11): 2481-2487.

Figures/Tables 9

Fig.1

Fig.2

Fig.3

Table 1

Fig.4

Fig.5

Fig.6

Fig.7

Table 2

References 22

1	吴仁彪, 卢晓光, 李海, 等. 机载前视风切变检测气象雷达的研究进展[J]. 数据采集与处理, 2014, 29 (4): 496- 507.
	WU R B , LU X G , LI H , et al. Overview on airborne forward-looking weather radar with windshear detection capability[J]. Journal of Data Acquisition & Processing, 2014, 29 (4): 496- 507.
2	梁爱民, 陈露. 低空风切变与飞行安全[J]. 中国民用航空, 2009.
	LIANG A M , CHEN L . Low level windshear and flight safety[J]. China Civil Aviation, 2009.
3	BAXA E G, LAI Y C, KUNKE M W. New signal processing developments in the detection of low-altitude windshear with airborne Doppler radar[C]// Proc. of the Record of the IEEE National Radar Conference, 1993: 269-274.
4	MOSCARDINI C, BERIZZI F, MARTORELLA M, et al. Spectral modelling of airborne radar signal in presence of windshear phenomena[C]//Proc.of the Radar Conference, 2009.
5	吴仁彪, 张彪, 李海, 等. 基于空时自适应处理的低空风切变风速估计方法[J]. 电子与信息学报, 2015, 37 (3): 631- 636.
	WU R B , ZHANG B , LI H , et al. Wind speed estimation for low-attitude windshear based on space-time adaptive processing[J]. Journal of Electronics & Information Technology, 2015, 37 (3): 631- 636.
6	LI H, ZHANG B, WU R B, et al. Wind speed estimation for low-altitude windshear based on space-time APES[C]//Proc.of the IEEE International Radar Conference, 2015: 521-526.
7	白健, 李勇, 高霞, 等. 基于Prony模型的低空风切变快速检测算法[J]. 计算机测量与控制, 2009, (10): 20- 22.
	BAI J , LI Y , GAO X , et al. Low-level wind shear detection algorithm based on prony model[J]. Computer Measurement & Control, 2009, (10): 20- 22.
8	李海, 周盟, 陈筱浅, 等. 基于多通道联合自适应处理的微下击暴流中心风速估计方法[J]. 电子与信息学报, 2017, 39 (7): 1619- 1625.
	LI H , ZHOU M , CHEN X Q , et al. Multiple Doppler channels joint adaptive processing based central wind speed estimation for microburst[J]. Journal of Electronics & Information Technology, 2017, 39 (7): 1619- 1625.
9	LI H , ZHOU M , GUO Q H , et al. Compressive sensing-based wind speed estimation for low-altitude wind-shear with airborne phased array radar[J]. Multidimensional Systems and Signal Processing, 2018, 29 (2): 719- 732.
10	LI H, WANG J, GUO Q H, et al. Wind speed estimation of low-altitude wind-shear based on comined space-time main channel adaptive processing[C]//Proc.of the IET International Radar Conference, 2018: 17-19.
11	LI Y, LI H, WU R. Wind speed estimation of low-altitude wind-shear based on generalized adjacent multi-beam space-time adaptive processing under aircraft yawing[C]//Proc.of the 14th IEEE International Conference on Signal Processing (ICSP), 2018: 220-223.
12	许小剑. 时变海面雷达目标散射现象学模型[M]. 北京: 国防工业出版社, 2013.
	XU X J . Radar phenomenological models for ships on time-evolving sea surface[M]. Beijing: National Defense Indutry Press, 2013.
13	徐湛, 苏芳, 万建伟, 等. 时空相关K分布海杂波的建模与仿真[J]. 系统仿真学报, 2011, (5): 30- 33.
	XU Z , SU F , WANG J W , et al. Modeling and simulation of temporal-spatial Correlated K-distributed Sea Clutter[J]. Journal of System Simulation, 2011, (5): 30- 33.
14	张民. 海面目标雷达散射特性与电磁成像[M]. 北京: 科学出版社, 2015.
	ZHANG M . Radar scattering characteristics and electromagnetic imaging of sea targets[M]. Beijing: Science Press, 2015.
15	XIN Y Z , LIAO G , YANG Z , et al. A deterministic sea-clutter space-time model based on physical sea surface[J]. IEEE Trans.on Geoscience and Remote Sensing, 2016, 1- 15.
16	BOYER E , LARZABAL P , ADNET C , et al. Parametric spectral moments estimation for wind profiling radar[J]. IEEE Trans.on Geoscience & Remote Sensing, 2003, 41 (8): 1859- 1868.
17	姚晖.分布式信号源参数估计技术研究[D].郑州:解放军信息工程大学, 2013.
	YAO H. Research on parameter estimation method for distributed sources[D]. Zhengzhou: PLA Information Engineering University, 2013.
18	姜晖.非均匀杂波环境下机载雷达STAP方法研究[D].西安:西安电子科技大学, 2010: 33-44.
	JIANG H. Study on STAP approaches for airborne radar in nonhomogeneous clutter environment[D]. Xi'an: Xidian University, 2010: 33-44.
19	岳兵, 李明, 廖桂生. 基于空时插值的机载雷达杂波距离依赖性补偿方法[J]. 系统工程与电子技术, 2010, 32 (8): 1557- 1561.
	YUE B , LI M , LIAO G S . Compensation of range dependence for airborne radar based on space-time interpolation[J]. Systems Engineering and Electronics, 2010, 32 (8): 1557- 1561.
20	王永良, 彭应宁. 空时自适应信号处理[M]. 北京: 清华大学出版社, 2000: 58- 87.
	WANG Y L , PENG Y N . Space-time adaptive processing[M]. Beijing: Tsinghua University Press, 2000: 58- 87.
21	陈建文, 皇甫堪, 周良柱, 等. 多波束时域滑窗空时自适应方法及其性能分析[J]. 国防科技大学学报, 1999, (4): 47- 50.
	CEHN J W , HUANGFU K , ZHOU L Z , et al. Multiple-beam STAP approach with time-delay taps and performance analysis[J]. Journal of National University of Defense Technology, 1999, (4): 47- 50.
22	冯晓宇, 谢军伟, 张晶, 等. 基于改进最速下降LCMV算法的稳健波束形成[J]. 传感器与微系统, 2018, 37 (4): 108- 111.
	FENG X Y , XIE J W , ZHANG J , et al. Robust beam-forming based on improved steepest descent LCMV algorithm[J]. Transducer and Microsystem Technologies, 2018, 37 (4): 108- 111.

参数名称	参数值
载机高度/m	600
载机速度/(m/s)	75
雷达波长/m	0.05
脉冲重复频率/Hz	7 000
主瓣方向/(°)	(60, 0)
阵元数	8
采样脉冲数	64
信噪比/dB	5
杂噪比/dB	30
距离分辨率/m	150

不同海面风速/(m/s)	均方根误差/(m/s)
2	1.47
5	1.68
8	2.73

[1]	Hai LI, Weijie CHENG, Ruijie XIE. Wind speed estimation of low-altitude wind-shear based on homotopy sparse STAP [J]. Systems Engineering and Electronics, 2022, 44(4): 1174-1181.
[2]	Yanling SHI, Lei WANG, Junhao LI. CFAR detection for small targets on sea surface based on singular value decomposition in projection space [J]. Systems Engineering and Electronics, 2022, 44(2): 512-519.
[3]	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.
[4]	Weiqiang YU, Fei WANG, Ping SUN, Jianjiang ZHOU, Jun CHEN. RF stealth optimization of airborne radar signal parametersunder clutter background [J]. Systems Engineering and Electronics, 2021, 43(11): 3194-3201.
[5]	Yanlei DU, Fan GAO, Tao LIU, Jian YANG. Statistical modeling and characteristic analysis of polarimetric SAR sea clutter at X-band based on numerical simulations [J]. Systems Engineering and Electronics, 2021, 43(10): 2742-2755.
[6]	Sainan SHI, Zeyuan DONG, Jing YANG, Chunjiao YANG. Sea-surface small target detection based on autonomic learning of time-frequency graph [J]. Systems Engineering and Electronics, 2021, 43(1): 33-41.
[7]	Hai LI, Di SONG, Ze HUYAN, Qing FENG, Zibo ZHUANG. Wind speed estimation of low-altitude wind-shear based on TDPC-JDL under LFMCW system [J]. Systems Engineering and Electronics, 2020, 42(7): 1504-1509.
[8]	Xin LI, Xiaoyun XIA, Yushi ZHANG, Penglang SHUI, Jinpeng ZHANG. Modified reflectivity model of UHF-band sea clutter at low grazing angle [J]. Systems Engineering and Electronics, 2020, 42(5): 1035-1040.
[9]	Ziwei DONG, Jun SUN, Jingming SUN, Meiyan PAN. Marine weak moving target detection based on sparse dictionary learning [J]. Systems Engineering and Electronics, 2020, 42(1): 30-36.
[10]	LI Hai, WANG Jie. Low-altitude wind-shear wind speed estimation based on CMCAP [J]. Systems Engineering and Electronics, 2019, 41(3): 529-533.
[11]	ZHANG Qiang, XIAO Gang, LAN Yiqun. Turbulence target detection based on BP neural network multilevel classification [J]. Systems Engineering and Electronics, 2018, 40(7): 1486-1490.
[12]	SHI Yanling, LIN Yufeng, LIANG Dandan. Subband segmented ANMF detector in non-stationary sea clutter [J]. Systems Engineering and Electronics, 2018, 40(4): 782-789.
[13]	SHI Haijie, LI Jinghua, YUE Lu. Meteorological target detection method and simulation of airborne weather radar in cruise stage [J]. Systems Engineering and Electronics, 2018, 40(2): 280-286.
[14]	ZHAO Wenjing, JIN Minglu, LIU Wenlong. Modified median matrix detection method for sea clutter environment [J]. Systems Engineering and Electronics, 2018, 40(10): 2173-2179.
[15]	XU Xinyu, ZHANG Yushi, LI Xin, LI Shanbin, LI Huiming. Influence of sea condition on the temporal correlation properties of UHF band sea clutter [J]. Systems Engineering and Electronics, 2017, 39(6): 1203-1207.

Low-altitude wind shear wind speed estimation method based on MBMC under sea clutter

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 22

Related Articles 15

Recommended Articles

Metrics

Comments