載機(jī)偏航下基于廣義相鄰多波束自適應(yīng)處理的低空風(fēng)切變風(fēng)速估計
doi: 10.11999/JEIT180758
-
中國民航大學(xué)天津市智能信號與圖像處理重點(diǎn)實(shí)驗室 ??天津 ??300300
基金項目: 國家自然科學(xué)基金(61571442, 61471365, U1633106),中國民航大學(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)項目(3122017007)
Generalized Adjacent Multi-beam Adaptive Processing Based Low-altitude Wind-shear Wind Speed Estimation under Aircraft Yawing
-
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
Funds: The National Natural Science Foundation of China (61571442, 61471365, U1633106), The Foundation for Sky Young Scholars of Civil Aviation University of China, The National University’s Basic Research Foundation of China (3122017007)
-
摘要: 該文提出一種載機(jī)偏航下基于廣義相鄰多波束(GMB)自適應(yīng)處理的低空風(fēng)切變風(fēng)速估計的方法,該方法首先利用基于回波數(shù)據(jù)的雜波距離依賴性補(bǔ)償方法對雜波進(jìn)行距離依賴性矯正,估計出雜波協(xié)方差矩陣。然后同時組合空域的相鄰多個波束與時域的相鄰多個多普勒通道來計算降維變換矩陣,并對待測距離單元內(nèi)的雷達(dá)回波數(shù)據(jù)進(jìn)行降維處理,進(jìn)而構(gòu)造GMB自適應(yīng)處理器的最優(yōu)自適應(yīng)權(quán)矢量對降維后的回波數(shù)據(jù)實(shí)現(xiàn)自適應(yīng)濾波。最后完成載機(jī)偏航下風(fēng)場速度的準(zhǔn)確估計。仿真結(jié)果驗證了該方法能夠在載機(jī)偏航情況下,獲得風(fēng)場速度的有效估計。
-
關(guān)鍵詞:
- 機(jī)載氣象雷達(dá) /
- 載機(jī)偏航 /
- 低空風(fēng)切變 /
- 廣義相鄰多波束 /
- 風(fēng)速估計
Abstract: This paper presents a method of low-altitude wind-shear speed estimation based on Generalized adjacent Multi-Beam (GMB) adaptive processing under aircraft yawing. The clutter range-dependence compensation method based on echo data is first used to correct the range dependence of clutter for estimating the clutter covariance matrix. Then the dimension-reduced transform matrix is calculated by combining adjacent multiple beams in the airspace and adjacent multiple Doppler channels in time domain simultaneously, and the radar echo data of the measured range bin is reduced in dimension, and then the optimal weight vector of the GMB adaptive processor is constructed to filter adaptively the dimension-reduced data. Finally, the accurate estimation of the wind speed under the aircraft yawing is got. The simulation results show that the proposed method can obtain an effective estimation of wind speed under aircraft yawing. -
DESHPANDE M D and STATON L. Determination of windspeed within a weather storm using airborne Doppler radar[C]. IEEE Proceedings of the Southeastcon’91, Williamsburg, USA, 1991: 508–519. WILSON J W and WAKIMOTO R M. The discovery of the downburst: T. T. Fujita’s contribution[J]. Bulletin of the American Meteorological Society, 2001, 82(1): 49–62. doi: 10.1175/1520-0477(2001)082<0049:TDOTDT>2.3.CO;2 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.2016.02.10HAN Yanfei, LIU Xia, LI Hai, et al. Microphysics-based radar signal simulation for the three dimensional low altitude wind shear[J]. Systems Engineering and Electronics, 2016, 38(2): 298–304. doi: 10.3969/j.issn.1001-506X.2016.02.10 韓偉, 張道尚, 李智. 載機(jī)偏航對雷達(dá)目標(biāo)檢測性能的影響分析[J]. 雷達(dá)科學(xué)與技術(shù), 2015, 13(2): 167–172. doi: 10.3969/j.issn.1672-2337.2015.02.012HAN Wei, ZHANG Daoshang, and LI Zhi. Influence of aircraft crabbing on target detection performance of AEW radar[J]. Radar Science and Technology, 2015, 13(2): 167–172. doi: 10.3969/j.issn.1672-2337.2015.02.012 白健, 李勇, 高霞, 等. 基于Prony模型的低空風(fēng)切變快速檢測算法[J]. 計算機(jī)測量與控制, 2009, 17(10): 1889–1891. doi: 10.16526/j.cnki.11-4762/tp.2009.10.001BAI Jian, LI Yong, GAO Xia, et al. Low-level wind shear detection algorithm based on Prony model[J]. Computer Measurement &Control, 2009, 17(10): 1889–1891. doi: 10.16526/j.cnki.11-4762/tp.2009.10.001 LI Hai, ZHOU Meng, GUO Qinghua, 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. doi: 10.1007/s11045-016-0448-6 吳仁彪, 張彪, 李海, 等. 基于空時自適應(yīng)處理的低空風(fēng)切變風(fēng)速估計方法[J]. 電子與信息學(xué)報, 2015, 37(3): 631–636. doi: 10.11999/JEIT140697WU Renbiao, ZHANG Biao, LI Hai, 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. doi: 10.11999/JEIT140697 LI Hai, ZHOU Meng, WU Renbiao, et al. Wind speed estimation of low-altitude wind-shear based on multiple Doppler channels joint adaptive processing[C]. Proceedings of 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 2016: 3116–3120. 李海, 周盟, 陳筱淺, 等. 基于多通道聯(lián)合自適應(yīng)處理的微下?lián)舯┝髦行娘L(fēng)速估計方法[J]. 電子與信息學(xué)報, 2017, 39(7): 1619–1625. doi: 10.11999/JEIT161094LI Hai, ZHOU Meng, CHEN Xiaoqian, 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. doi: 10.11999/JEIT161094 KLEMM R. Principle of Space-time Adaptive Processing[M]. 3rd ed. London, UK: IET Publishers, 2006: 1–133. BOYER E, LARZABAL P, ADNET C, et al. Parametric spectral moments estimation for wind profiling radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(8): 1859–1868. doi: 10.1109/TGRS.2003.813487 姚暉. 分布式信號源參數(shù)估計技術(shù)研究[D]. [博士論文]. 解放軍信息工程大學(xué), 2013: 9–25.YAO Hui. Research on parameter estimation method for distributed sources[D]. [Ph.D. dissertation], PLA Information Engineering University, 2013: 9–25. 王娟, 王彤, 吳建新. 非正側(cè)陣機(jī)載雷達(dá)雜波譜迭代自適應(yīng)配準(zhǔn)方法[J]. 系統(tǒng)工程與電子技術(shù), 2017, 39(4): 742–747. doi: 10.3969/j.issn.1001-506X.2017.04.08WANG Juan, WANG Tong, and WU Jianxin. Registration-based compensation using iterative adaptive approach in non-side-looking airborne radar[J]. Systems Engineering and Electronics, 2017, 39(4): 742–747. doi: 10.3969/j.issn.1001-506X.2017.04.08 文珺, 廖桂生, 李明. 一種機(jī)載前視雷達(dá)雜波距離依賴性補(bǔ)償方法[J]. 系統(tǒng)工程與電子技術(shù), 2010, 32(6): 1187–1190. doi: 10.3969/j.issn.1001-506X.2010.06.017WEN Jun, LIAO Guisheng, and LI Ming. Method to compensate clutter range dependence for airborne forward looking radar[J]. Systems Engineering and Electronics, 2010, 32(6): 1187–1190. doi: 10.3969/j.issn.1001-506X.2010.06.017 -