基于多通道聯(lián)合自適應(yīng)處理的微下?lián)舯┝髦行娘L(fēng)速估計(jì)方法

李海; 周盟; 陳筱淺; 吳仁彪

doi:10.11999/JEIT161094

基于多通道聯(lián)合自適應(yīng)處理的微下?lián)舯┝髦行娘L(fēng)速估計(jì)方法

doi: 10.11999/JEIT161094

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61471365, U1633106, 61231017)，中國(guó)民航大學(xué)藍(lán)天青年學(xué)者培養(yǎng)經(jīng)費(fèi)，中央高?；究蒲袠I(yè)務(wù)費(fèi)項(xiàng)目(3122017006)

計(jì)量
- 文章訪問數(shù): 1214
- HTML全文瀏覽量: 152
- PDF下載量: 306
- 被引次數(shù): 0
出版歷程
- 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: 針對(duì)機(jī)載氣象雷達(dá)下視探測(cè)微下?lián)舯┝鲿r(shí)，有用氣象信號(hào)會(huì)淹沒在強(qiáng)雜波背景中的問題，該文提出一種基于多通道聯(lián)合自適應(yīng)處理的、能夠用于分布式氣象目標(biāo)中心風(fēng)速估計(jì)的降維處理器結(jié)構(gòu)。該處理器通過前置的窄帶多普勒濾波將全空時(shí)雜波局域化為特定多普勒通道下的定向有源干擾，然后在空域逐多普勒通道進(jìn)行自適應(yīng)處理，最后利用頻率質(zhì)心法求取中心風(fēng)速估計(jì)。仿真結(jié)果表明，在強(qiáng)雜波背景下，所提方法可以獲得較為精確風(fēng)場(chǎng)速度估計(jì)結(jié)果，由于采用了降維結(jié)構(gòu)，較最優(yōu)處理器在運(yùn)算量上有了明顯減少。
- 機(jī)載氣象雷達(dá) /
- 微下?lián)舯┝?/a> /
- 風(fēng)速估計(jì) /
- 多通道聯(lián)合自適應(yīng)處理
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

參考文獻(xiàn)(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.

吳仁彪, 盧曉光, 李海, 等. 機(jī)載前視風(fēng)切變檢測(cè)氣象雷達(dá)的研究進(jìn)展[J]. 數(shù)據(jù)采集與處理, 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.

盧曉光. 機(jī)載氣象雷達(dá)信號(hào)處理若干關(guān)鍵技術(shù)研究[D]. [博士論文], 天津大學(xué), 2015.

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

吳建新. 機(jī)載相控陣?yán)走_(dá)STAP及目標(biāo)參數(shù)估計(jì)方法研究[D]. [博士論文], 西安電子科技大學(xué), 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.

吳仁彪, 張彪, 李海, 等. 基于空時(shí)自適應(yīng)處理的低空風(fēng)切變風(fēng)速估計(jì)方法[J]. 電子與信息學(xué)報(bào), 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.

姚暉. 分布式信號(hào)源參數(shù)估計(jì)技術(shù)研究[D]. [博士論文], 解放軍信息工程大學(xué), 2013.

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

韓雁飛, 劉夏, 李海, 等. 基于微物理特性的三維低空風(fēng)切變雷達(dá)回波仿真[J]. 系統(tǒng)工程與電子技術(shù), 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.

韓雁飛, 劉夏, 李海, 等. 利用函數(shù)擬合的低空風(fēng)切變?nèi)S建模與雷達(dá)回波仿真[J]. 信號(hào)處理, 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.

相關(guān)文章

施引文獻(xiàn)

資源附件(0)

訪問統(tǒng)計(jì)