相控阵风廓线雷达监控系统中的关键技术研究
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摘要
相控阵风廓线雷达是一种特殊的测风雷达,它广泛应用于大气状况的监测;为环境影响评估提供污染气象资料;提高了对雷暴、大风等灾害性天气的预报水平;可以监测、预报森林火灾的发生及蔓延;为领航台制定节省燃料的航线;为武器阵地、靶场、基地等场所提供所需的空中气流数据等。
     随着现代化进程和信息技术的高速发展,基于嵌入式系统应用的电子产品已经走进人们的生活,使传统的工业生产和服务方式的技术含量得到很大的提高。基于SOPC技术的NiosⅡ嵌入式处理器是一个可变结构的、通用型的RISC嵌入式处理器,嵌入式设计者能非常方便的使用SOPC Builder系统开发工具设计构造以处理器为基础的系统。这使得利用FPGA实现高集成度高可靠性的相控阵风廓线雷达监控系统成为一种可能且必要的手段。
     本文分析和研究了船载相控阵风廓线雷达的关键技术,并提出了最新的解决方案。利用美国Altera公司开发的基于SOPC技术的NiosⅡ嵌入式处理器设计实现船载相控阵风廓线雷达天线波束在大地坐标系、甲板坐标系、天线坐标系之间的方位角、俯仰角的坐标变换,并利用NIOSⅡ完成船载相控阵风廓线雷达电子波束的预测修正补偿算法,实现船载相控阵风廓线雷达对于空中方位目标的实时而准确的跟踪测量。仿真结果表明:坐标变换一次所需的时间约为7ms,标量卡尔曼预测算法一次预测所需时间不到1ms,这完全符合一次修正周期25ms的设计要求。
Phased-array WPR(wind profile radar) is a special wind-detecting radar, which is widely applied in testing atmosphere, supplies resource of pollution meteorology for environmental impact assessment; advances forecasting standard for disastrous weather, such as thunderstorm, gale;monitors and predicts forest-fire; charts the pilot's course which skimps on fuel; supplies air current data which is needed by weapon position, shooting range, base etc.
     With the rapid development of modern process and information technology,electrical products which is based on embedded system have been widely used in people's life. This improved the technology level of traditional technology manufacture and service style. NiosII microprocessor based on SOPC technology is a changeable, general RISC CPU. The developer can conveniently design the system with SOPC Builder. So the high integration, high reliability monitoring system in phased array wind profile radar which is realized by FPGA is a possible and essential means.
     The article analyzes and researches the key technology of phased array WPR and gives the newest answer to the key technology. With the NiosII microprocessor based on SOPC which is developed by American, the article realizes coordination transformation of azimuth angle and pitching angle which is used in geodetic axis, deck axis and antenna axis on shipborne phased-array WPR antenna beam. and the developer also implements shipborne phased-array WPR's revising and compensating prediction algorithm of electron waves, achieves the real-time and correct tracking for aircraft azimuth target. The result shows that the wasting time of one coordination transformation is about 7ms and the dissipative time of one time kalman prediction algorithm is less than 1ms.The results satisfy the designing demand of one revising periods which is 25ms.
引文
[1]何平.相控阵风廓线雷达[M].北京:气象出版社.2006:105-120.
    [2]邓洪.风廓线雷达数字信号处理研究[D].硕士学位论文,电子科技大学.2005,1.
    [3]Augustine J A,Zipser E J.The use of wind profilers in a mesoscale experiment[J].Bull Amer.Met.soc,1987:68:4-17.
    [4]Balsley B B,Peterson V L.Doppler-radar measurements of clear air atmospheric turbulence at 1290 MHZ[J].J.Appl.Metor,1981(20):266-274.
    [5]安勇龙,赵艳秋.FPGA:22年从配角到主角[J].北京:中国电子报,2007,7.
    [6]Dibbern J,Engelbart D,Goersdorf U.Operational Aspects of Wind Profiler Radars[J].WMO/TD NO.1196,2003:4-5.
    [7]http://www.profiler.noaa.gov
    [8]赵兴炳,李跃清.风廓线雷达原理及其在高原地区探测结果初析.四川气象.2006(2):24-26
    [9]Gage K S,MaAfee J R,Ecklund W L,etal.The christmas Island wind profiler:A prototype VHF winf-profiling radar for the tropics.J.Atmos.Oceanic Technol[J],in press.1993.
    [10]The National Weather Service and the Office of Oceanic and Atmospheric Research.Wind Profile Assessment Report and Commerce and National Oceanic and Atmospheric Administration[J],1994:141-142.
    [11]Collier,C.G.International weather radar networking:final seminar of the COST Project 73[M],Dordreche,Kluwer Academic Publishers,1992:191-192.
    [12]林朴炎.风廓线仪——下一代测风系统[J].广东气象,1994(1):40-41.
    [13]马莉.基于SOPC的波控系统设计展望[J].现代雷达,2006:56-58.
    [14]Garrod A.Digital modules for phased array radars[C].International Radar Conference.USA:IEEE,1995:726-731.
    [15]Serafin,Robert J.et al.Operational weather radar in the United States:progress and opportunity[M].Bulletin of the American Meteorological Society,2000(3):501-518.
    [16]王小谟,张光义.雷达与探测[M].北京:国防工业出版社,2000:68-71.
    [17]郑清.相控阵雷达波控系统技术研究[J].现代雷达,2006(4):53-55.
    [18]Merrill I.Skolnik introduction to radar system[M].McGraw_Hill,2001:58-78.
    [19]Min-Hsiung Hung Yung-Te Chen Jui-Yu Cheng.Development Scheme of SOPC-Based Reconfigurable Controllers[M].Networking,Sensing and Control,2006:492-497.
    [20]Coluzzi,Michael E.Carlin,Larry.Implementations new technologies in radar systems[C].AIAA/IEEE Digital Avionics Systems Conference-Proceedings.Oct 2004:24-28.
    [21]Zhen Zuo,Guilin Tang,Zhi Dong,Zhiping Huang.Design and realization of the hardware platform based on the Nios soft-core processor.Electronic Measurement and Instruments[J].2007:865-869.
    [22]Durden,S.L.Fischman,M.A.Johnson,R.A.An FPGA-based Doppler processor for a spaceborne precipitation radar[J].Journal of Atmospheric and Oceanic Technology,2007:1811-1815.
    [23]He,Jianxin.Huang,Bo.Li,Xuehua.The signal processing system design of general weather radar based on ASIC[C].2005 6th International Conference on ASIC,2005:1051-1054.
    [24]Ohba,Nobuyuki.Takano,Kohji.An SoC design methodology using FPGAs and embedded microprocessors[C].Proceedings of the 41st Design Automation Conference.2004:747-752.
    [25]Abramovici,Miron.Stroud,Charles.Emmert,Marty.Using embedded FPGAs for SoC yield improvement[C].Proceedings Design Automation Conference,2002:713-724.
    [26]Wilson,Ron.Platform SOCs now possible[J].Electronic Engineering Times.2005:34-42.
    [27]张光义.相控阵雷达系统[M].北京:国防工业出版社,1994:55-59.
    [28]郑清.相控阵雷达波控系统技术研究[J].现代雷达,2006:53-55.
    [29]王俊雄.基于FPGA及NIOS的嵌入式系统应用研究[D].硕士学位论文,西南交通大学,2006:34-38.
    [30]管立新.FPGA/SOPC技术在数字通信系统中的应用研究[D].硕士学位论文,天津大学.2006:22-29.
    [31]伍路旺.基于以太网和FPGA的智能小区管理系统[D].硕士学位论文,江苏大学.2007:32-35.
    [32]向敬成,张明友.雷达系统[M].电子工业出版社,2001:98-120.
    [33]张齐,润东.舰载相控阵雷达船摇补偿[J].北京:系统工程与电子技术,1998:4-7.
    [34]方成一,王振旺.舰载雷达天线电子稳定方程的推导方法[J].雷达与对抗,1999(2):68-74.
    [35]冯同玲,陈龙潭.舰载雷达天线电子稳定方程的推导与分析[J].火控雷达技术,2001:31-36.
    [36]R.G.Brown,P.Y.C.Hwang.Introduction to Random Signals and Applied Kalman Filtering[M].New York:John Wiley and Sons,1997:56-62.
    [37]Brown,R.G,P.Y.C.Hwang.Introduction to Random Signals and Applied Kalman Filtering[M].John Wiley & Sons,Inc.1992:88-92.
    [38]Gelb,A.Applied Optimal Estimation[M].MIT Press,Cambridge,MA.1974:88-96.
    [39]Grewal,Mohinder S.Angus P.Andrews.Kalman Filtering Theory and Practice[J].Upper Saddle River,NJ USA,Prentice Hall,1993.
    [40]Jacobs,O.L.R.Introduction to Control Theory,2nd Edition.Oxford University Press.1993.
    [41]Kalman R.E.A New Approach to Linear Filtering and Prediction Problems[J].Transaction of the ASME-Journal of Basic Engineering,1960:35-45.
    [42]Lewis,Richard.Optimal Estimation with an Introduction to Stochastic Control Theory,John Wiley & Sons,1986.
    [43]Maybeck,Peter S.Stochastic Models,Estimation,and Control[M].Academic Press,1979:99-110.
    [44]Sorenson,H.W.Least-Squares estimation:from Gauss to Kalman[J].IEEE Spectrum,1970(7):63-68.
    [45]S.M.鲍奇克.数字滤波和卡尔曼滤波[M].科学出版社,1984:55-61.
    [46]Choukroun,Daniel,Weiss,Haim,Bar-Itzhack,Itzhack Y.Kalman filtering for matrix estimation[J].IEEE Transactions on Aerospace and Electronic Systems.2006:147-159.
    [47]Lee,C.R.Salcic,Z.High-performance FPGA-based implementation of Kalman filter[J].Microprocessors and Microsystems,1997:257-265.
    [48]Chappell,Steve,Macarthur,Alistair.Preston,Dan.Exploiting real-time FPGA based adaptive systems technology for real-time Sensor Fusion in next generation automotive safety systems[J].Proceedings-Design,Automation and Test in Europe.2005:180-185.
    [49]Wei-Tsen Lin,Dah-Chung Chang.The extended Kalman filtering algorithm for carrier synchronization and the implementation[J].Circuits and Systems,2005:4034-4037.
    [50]Sumeem,S.Ahmed,S.A.Khan,S.A.System on reconfigurable chip for automatic detection and tracking radar[C].Multitopic Conference,2004.Proceedings of INMIC 2004.8th International,2004:146-151.
    [51]Gehrig,Tobias.Nickel,Kai.Ekenel,Hazim Kemal.Kalman filters for audio-video source localization[J].IEEE Workshop on Applications of Signal Processing to Audio and Acousti