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

李海; 周盟; 陈筱浅; 吴仁彪

doi:10.11999/JEIT161094

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

doi: 10.11999/JEIT161094

基金项目:

国家自然科学基金(61471365, U1633106, 61231017)，中国民航大学蓝天青年学者培养经费，中央高校基本科研业务费项目(3122017006)

计量
- 文章访问数: 1180
- HTML全文浏览量: 146
- PDF下载量: 306
- 被引次数: 0
出版历程
- 收稿日期: 2016-10-17
- 修回日期: 2017-04-10
- 刊出日期: 2017-07-19

Multiple Doppler Channels Joint Adaptive Processing Based Central Wind Speed Estimation for Microburst

Funds:

The National Natural Science Foundation of China (61471365, U1633106, 61231017), The Foundation for Sky Young Scholars of Civil Aviation University of China, The National Universitys Basic Research Foundation of China (3122017006)

摘要

摘要: 针对机载气象雷达下视探测微下击暴流时，有用气象信号会淹没在强杂波背景中的问题，该文提出一种基于多通道联合自适应处理的、能够用于分布式气象目标中心风速估计的降维处理器结构。该处理器通过前置的窄带多普勒滤波将全空时杂波局域化为特定多普勒通道下的定向有源干扰，然后在空域逐多普勒通道进行自适应处理，最后利用频率质心法求取中心风速估计。仿真结果表明，在强杂波背景下，所提方法可以获得较为精确风场速度估计结果，由于采用了降维结构，较最优处理器在运算量上有了明显减少。
- 机载气象雷达 /
- 微下击暴流 /
- 风速估计 /
- 多通道联合自适应处理
Abstract: When the airborne weather radar detects microburst field, the echoes of wind field are usually submerged by strong background clutter. In this paper, a novel method of wind speed estimation of microburst based on pre-filtering based reduced rank STAP approach is proposed. The method constructs reduced-rank adaptive processors for distributed meteorologic target to achieve clutter suppression and signal matching, and to obtain the wind speed of the microburst field. The experimental results show that the proposed method can achieve clutter suppression and get accurate wind speed estimation with low computational burden.
- Airborne weather radar /
- Microburst /
- Wind speed estimation /
- Multiple channels joint adaptive processing

HTML全文

参考文献(26)

FUJITA T T. Manual of Downburst Identification for Project NIMROD[M]. University of Chicago, Satellite and Mesometeorology, Research Project, Department of the Geophysical Sciences, 1978: 19-31.

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): 476-507. doi: 10.16337/j.1004-9037.2014.04.002.

WU Renbiao, LU Xiaoguang, LI Hai, et al. Overview on airborne forward-looking weather radar with windshear detection capability[J]. Journal of Data Acquisition and Processing, 2014, 29(4): 476-507. doi: 10.16337/j.1004-9037. 2014.04.002.

卢晓光. 机载气象雷达信号处理若干关键技术研究[D]. [博士论文], 天津大学, 2015.

LU Xiaoguang. Research on key techniques of signal processing for airborne weather radar[D]. [Ph.D. dissertation], Tianjin University, 2015.

吴建新. 机载相控阵雷达STAP及目标参数估计方法研究[D]. [博士论文], 西安电子科技大学, 2009.

WU Jianxin. Study on space-time adaptive processing and target parameters estimation of airborne phased array radar[D]. [Ph.D. dissertation], Xidian University, 2009.

KLEMM R. Principle of Space-time Adaptive Processing[M]. 3rd, London, UK, IET Publishers, 2006: 1-133.

GUERCI J R. Space-time Adaptive Processing for Radar[M]. Norwood, MA: Artech House Press, 2003: 3-55.

VALAEE S, CHAMPAGNE B, KABAL P, et al. Parametric localization of distributed sources[J]. IEEE Transactions on Signal Processing, 1995, 43(9): 2144-2153. doi: 10.1109/78. 414777.

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. doi: 10.11999/JEIT140697.

WU Renbiao, ZHANG Biao, LI Hai, et al.. Wind speed estimation for low-altitude windshear based on space-time adaptive processing[J]. Journal of Electronics Information Technology, 2015, 37(3): 631-336. doi: 10.11999/JEIT140697.

LI Hai, ZHANG Biao, WU Renbiao, et al. Wind speed estimation for low-altitude windshear based on space-time APES[C]. 2015 IEEE Radar Conference (RadarCon), VA, USA, 2015: 0521-0526.

WANG Yongliang, PENG Yingning, and BAO Zheng. Space- time adaptive processing for airborne radar with various array orientations[J]. IEE Proceedings-Radar, Sonar and Navigation, 1997, 144(6): 330-340.

LI H, ZHOU M, WU R B, et al. Wind speed estimation of low-altitude wind-shear based on multiple Doppler channels joint adaptive processing[C]. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016: 3116-3120.

LAPIERRE F D and VERLY J G. Registration-based solutions to the range-dependence problem in STAP radars [C]. Adaptive Sensor Array Processing Workshop, MIT Lincoln Laboratory, Lexington, MA, 2003: 1-6.

LAPIERRE F D and VERLY J G. Foundation for mitigating range dependence in radar space-time adaptive processing[J]. IET Radar, Sonar and Navigation, 2009, 3(1): 8-29. doi: 10. 1049/iet-rsn:20070162.

KREYENKAMP O and KLEMM R. Doppler compensation in forward-looking STAP radar[J]. IEE Proceedings-Radar, Sonar and Navigation, 2001, 148(5): 253-258. doi: 10.1049/ ip-rsn:20010557.

HAN Xiaodong, ZHANG Guanglei, SHU Ting, et al. A two-stage hybrid clutter range dependence compensation method for airborne radar with non-sidelooking array[C]. 2015 IEEE Radar Conference (RadarCon), VA, USA, 2015: 0100-0104.

MENG Y, WONG K M, and WU Q. Estimation of the directions of arrival of spread sources in sensor array processing[C]. Proceedings of ICSP, 1993, 10: 430-434.

姚晖. 分布式信号源参数估计技术研究[D]. [博士论文], 解放军信息工程大学, 2013.

YAO Hui. Research on parameter estimation method for distributed sources [Ph.D. dissertation], PLA Information Engineering University, 2013.

韩雁飞, 刘夏, 李海, 等. 基于微物理特性的三维低空风切变雷达回波仿真[J]. 系统工程与电子技术, 2016, 38(2): 298-304. doi: 10.3969/j.issn.1001-506X.2016.02.10.

HAN Yanfei, LIU Xia, LI Hai, et al. Microphysics-based radar signal simulation for the three-dimensional low altitude wind shear[J]. System Engineering and Electronics, 2016, 38(2): 298-304. doi: 10.3969/j.issn.1001-506X.2016.02.10.

韩雁飞, 刘夏, 李海, 等. 利用函数拟合的低空风切变三维建模与雷达回波仿真[J]. 信号处理, 2015, 31(9): 1181-1187. doi: 10.3969/j.issn.1003-0530.2015.09.022.

HAN Yanfei, LIU Xia, LI Hai, et al. The 3D modeling and radar echo simulation of low-altitude wind shear using function fitting[J]. Journal of Signal Processing, 2015, 31(9): 1181-1187. doi: 10.3969/j.issn.1003-0530.2015.09.022.

施引文献

资源附件(0)

访问统计