船用卫星天线姿态稳定系统关键技术研究
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摘要
本文以船用卫星天线姿态稳定系统项目为研究背景,开展以微惯性测量单元(MEMS-IMU)作为姿态测量核心的船用卫星天线姿态稳定系统相关技术研究和原理样机的研制工作。本文设计了采用四轴框架结构的系统姿态闭环工作模式;设计了四轴天线框架控制和跟踪算法;解决了MEMS器件信号降噪和野值剔除等问题,对MEMS陀螺零位和标度因数误差在线补偿标定方法进行研究;提出了基于磁强计连续测量值的速率模拟算法;研制了天线稳定系统的原理样机,进行了相关验证和试验。
     本论文主要完成的工作及创新点有以下几方面:
     (1)根据现阶段船用卫星天线稳定系统的发展情况及惯性测量单元的类型,针对本文中涉及的船用系统对惯性测量单元精度的要求,确定使用微惯性器件作为核心器件的可行性;总结天线姿态稳定系统的技术发展及现阶段系统结构类型,提出以MEMS-IMU为核心的船用卫星天线姿态稳定系统的总体方案。
     (2)设计了四轴框架系统姿态闭环控制算法,建立了惯性测量单元直接与天线本体固联的天线姿态闭环控制模式。为满足全球航行对卫星跟踪的需求,设计了四轴天线框架结构,结合了AE和XY两种框架结构的特点,保证在全球航行时都能实现框架系统平稳跟踪,消除了AE和XY框架结构各自存在的跟踪死区;根据四轴框架结构运动特点和惯性测量单元的安装方式,设计了四轴框架系统的框架控制和天线跟踪算法,实现了天线姿态闭环控制。
     (3)在小波分析的基础上,对MEMS陀螺信号进行了误差建模,提出了小波系数抑制的MEMS陀螺确定性误差提取、小波系数线性压缩的野值剔除和虚拟野值的MEMS陀螺信号降噪等三种小波域信号处理方法。小波系数线性压缩野值剔除方法将野值在小波系数体现出来的能量进行线性处理,避免了由于小波系数被强制置零造成的重构信号的震荡现象。针对MEMS器件的高噪声,设计了虚拟野值降噪方法,将信号小波系数的噪声理解为一系列野值点,利用3原理,设计小波降噪的阈值函数,完成信号的降噪处理,并利用系统实测MEMS陀螺数据进行算法验证,将结果和通用阈值方法进行了对比。
     (4)提出了利用三轴磁强计连续测量值模拟三轴角速率的方法。由于MEMS陀螺现阶段的精度较低,需借助外信息完成初始对准,因此论文采用电子罗盘与MEMS-IMU组合构成姿态测量系统的方案。本文对三轴磁强计结构的电子罗盘椭圆误差进行了分析,并结合实测数据完成了对电子罗盘数据的补偿,提高了电子罗盘测量精度。在补偿的基础上,提出了三轴磁强计通过测量空间地磁矢量的运动来实现模拟三轴速率输出的想法,建立了利用磁强计输出值计算三轴角速率的模型,同时,推导了磁强计输出值与天线系统Rodrigues参数更新之间的关系以及速率数值输出表达式,为系统组合滤波提供了新的观测量。
     (5)设计实现了MEMS陀螺零位误差和标度因数误差的在线辨识和补偿方法。综合考虑姿态检测系统要求,采用了Rodrigues参数法作为姿态描述和更新算法,建立了以系统姿态误差的Rodrigues参数、MEMS陀螺零位值和标度因数值作为状态量的系统状态方程,基于电子罗盘姿态输出和磁强计模拟三轴速率的Kalman滤波方程。实现了对MEMS陀螺零位误差和标度因数误差的估计。
     (6)研制了基于微惯性测量单元的船用卫星天线姿态稳定系统原理样机。完成四轴框架结构的设计及伺服机构的设计和制造。验证了论文中所提方法的实用效果,并于2010年8月在松花江上进行了实船的航行试验测试,系统工作正常,达到了预期的效果。
The proposition of this paper comes from a particular research project, involved in theproject, micro-gyroscope attitude measurement and stability in the marine satellite antennaattitude stabilization system, signal processing for micro inertial devices, the antenna framestructure, attitude measurement system The combination of filtering and other aspects of workto complete the research of micro inertial measurement unit for detecting the core marinesatellite antenna attitude stabilization system. In the process of research projects, theapplication of four-axis frame structure to solve the problem of global navigation satellitetracking, attitude closed loop mode, and design a framework for control and trackingalgorithm for four-axis antenna; proposed to solve the high noise of the MEMS devicesoutliers wavelet coefficients of linear compression, and virtual outliers are two signalprocessing methods; for identification MEMS gyro scale factor error, the proposed rate of themagnetometer simulation algorithm based on magnetometer measurements and KalmanFiltering observed variables; developed a prototype of the antenna stabilization system andalgorithm validation and test prototype.
     Based on the marine satellite antenna attitude stabilization system project, carried out theinertial measurement unit (MEMS IMU) to detect the core of the marine satellite antennaattitude stabilization system research and prototype research and development. Attitude closedloop mode using four-axis frame structure and designed a framework for control and trackingalgorithm for four-axis antenna; solve the problem of the MEMS device noise and outliers,the MEMS gyroscope zero and scale factor error compensation calibration; proposed basedmagnetometer for measuring the value of the rate of simulation algorithm; developed aprototype of the antenna stabilization systems, validation and test.
     This thesis to complete the work and innovation are the following:
     (1) According to this stage the development of marine satellite antenna stabilizationsystems, and inertial sensing the type of the core, the summary of marine systems the inertialmeasurement unit accuracy to determine the feasibility of the use of micro inertial devices asthe key device; antenna attitude stabilization system technology development, summarize thetype of system architecture at this stage, the overall scheme of this article Marine SatelliteAntenna Attitude Stabilization System.
     (2) Design a four-axis framework Attitude closed-loop control algorithm. Inertialmeasurement units directly with the antenna body solid and antenna attitude closed-loopcontrol mode, to avoid the framework of the projected antenna attitude error vector coordinate system; designed to meet the needs of global navigation satellite tracking, four-axis antennaframework, combined with the structural characteristics of AE and XY two frameworks, andassurance framework system in the global navigation can be a smooth track, eliminating theAE and the XY frame structure tracking dead zone; according to the movement characteristicsof four-axis frame structure and The inertial measurement unit of the installation, design aframework of control of the axis frame system and antenna tracking algorithm, theclosed-loop control of the antenna attitude.
     (3) design of the wavelet coefficients of linear compression outliers excluded methodsand virtual outliers in the signal noise reduction method. MEMS gyroscope signal errormodeling, wavelet coefficients of inhibition of MEMS gyroscope deterministic errorextraction, outlier rejection and virtual outliers MEMS gyro signal noise reduction three linearcompression of the wavelet coefficients in wavelet domain signal processing methods. Theenergy of wavelet coefficients of linear compression outliers removed outliers reflected in thewavelet coefficients for linear processing, to avoid oscillation due to the wavelet coefficientsare forced to zero reconstructed signal. High noise of the MEMS device, design a virtualoutliers noise, the noise of the signal wavelet coefficients is understood as a series of outliers,the use of the principle, the design of wavelet denoising threshold function to complete thesignal noise reduction processing, and The system measured MEMS gyroscope data foralgorithm validation, and results and the universal threshold method were compared.
     (4) The proposed algorithm for three-axis magnetometer analog three-axis angular rate.Lower due to the accuracy of the MEMS gyroscope at this stage, require the use of outsideinformation to complete the initial alignment, so the papers in electronic compass andMEMS-IMU combination constitute the program of the attitude measurement system. In thispaper, three-axis magnetometer structure of the electronic compass elliptical error analysis,combined with the measured data and the complete compensation of the electronic compassdata, and improve the measurement accuracy of the electronic compass. Compensation on thebasis of the idea of simulation of three-axis rate output three-axis magnetometer by measuringthe movement of the space geomagnetic vector magnetometer output value of the model ofthree-axis angular rate, derived magnetometer expression of the relationship between the totaloutput value and the antenna system Rodrigues parameters update rate value output,composite filter for the system provides a new observation.
     (5) Design and Implementation of a MEMS gyroscope zero errors and scale factor errorof line identification and compensation methods. Considering the posture detection systemusing Rodrigues parameters, the establishment of the Rodrigues parameters to the system attitude error as a gesture description and update algorithm of MEMS gyroscope zero valueand scale factor values as state variables of the system state equations, based on the electroniccompass simulation of three-axis rate of the output and magnetometer attitude of the Kalmanfilter equations. And derive the Kalman filter equations MEMS gyroscope zero error and scalefactor error of the new interest rate expressions, to achieve zero errors and scale factor errorestimate of the MEMS gyroscope.
     (6) the development of marine satellite antenna attitude stabilization system prototypebased micro inertial measurement unit. Completion of the axis frame structure design and thedesign and manufacture of servo mechanism. Verify the practical effect of the proposedmethod in the paper, and sea trial test of a real ship in the Songhua River in September2010,the system will work to achieve the desired effect.
引文
[1]滕云鹤,毛鲜辉,章燕中,李俊峰,刘进江.移动卫星通信捷联式天线稳定系统[J].宇航学报.2002年5期:72-75.
    [2]牛小骥,高钟毓,张嵘,陈志勇.基于微机械惯性传感器的卫星电视天线稳定系统[J].中国惯性技术学报.2002年5期:11-15..
    [3]刘付强.船用卫星天线微型姿态测量系统关键技术研究[D].哈尔滨工程大学博士论文.2008年06月:29-35,47-50.
    [4] Yam Y, Mingori D L, Halsmer D M. Stability of a spinning axisymmetric rocket withdissipative internal mass motion [J]. Journal of Guidance,Control and Dynamics,1997,20(2):306-311.
    [5]徐爱东,杨拥军,卢新艳.MEMS惯性器件的新进展及应用.半导体技术.2011年第35卷增刊:109-113.
    [6]杨业飞,申文涛.惯性稳定平台中陀螺技术的发展现状和应用研[J].控制与制导.2011年第2期:72-79.
    [7]史飞,喻洪麟.单脉冲自跟踪体制在车载“动中通”的应用.系统工程与电子技术[J].2004年4月,第26卷,第4期:85-487
    [8]严武升,刘宏,过润秋.基于前馈补偿的舰载雷达三轴稳定跟踪的研究[J].西安电子科技大学学报,1998年第5期:650-654.
    [9]王小军,全空域跟踪的舰载雷达驱动系统研究[D].博士论文.哈尔滨工程大学,2002年:40-42.
    [10]阮晓刚,汪宏武.“动中通”卫星天线技术及产品的应用[J].卫星与网络.2006年第3期:34-37
    [11] SeaTel公司.船载卫星天线的佼佼者(一).数字通信世界.2007,4.42
    [12]张振庄.机载卫星通信天线稳定平台的实现.无线电工程.1999(2):59-61.
    [13]李战明,赵剑明.指向+单脉冲跟踪在车载“动中通”中的应用[J].武汉理工大学学报.2009年4月,第31卷第8期:103-105
    [14]郝路瑶,赵建勋,苏刚“,动中通”稳定与跟踪技术[J].雷达与对抗.2006年第2期:48-51.
    [15]汤铭.动中通伺服系统的设计[J].现代雷达.2003,3.Vol.25(4):51-54.
    [16]邹丽娟,黄建国,基于圆锥扫描的舰载卫星电视天线跟踪系统.现代雷达.2004年第10期:68-70.
    [17]葛传力.步进跟踪控制系统的设计与实践.安徽大学学报.2000年12月.第24卷第4期:54-59.
    [18]郝路瑶,姚敏立,许华春.一种改进的“动中通”步进跟踪算法.光电与控制.2010年12月,第17卷第12期:64-67.
    [19]王小军,李殿璞,赵阳,余宏明,郑锦勇.舰载三轴雷达波束稳定跟踪的研究.哈尔滨工程大学学报.2002.2.Vol.23.No.1:58-63.
    [20]李旭辉,MEMS发展应用现状,传感器与微系统,2006,25(5):7-9
    [21]Stephane D.MEMS gyro for space applications Overview of Europeanactivities[C].AIAA Guidance,Navigation, and Control Conference and Exhibit,2005,8:15-18
    [22]高钟毓,董景新,张嵘.微机电传感器发展及应用的现状与趋势[J].机械工程学报.2003,39(11):7-16.
    [23] John Geen, David Krakauer, New iMEMS Angular-Rate-Sensing Gyroscope AnalogDialogue,2003:12-15.
    [24]李新刚,袁建平.微机械陀螺的发展现状[J].力学进展.2003,33(3):289-301.
    [25] Asad M M, Lynn E C, Stuart J K, Common Design Techniques for BEI GyroChipQuartz Rate Sensors for Both Automotive and Aerospace/Defense Markets, IEEE SensorsJourna1,2003,3(5):569-578.
    [26]王巍,何胜.MEMS惯性仪表技术发展趋势[J].导弹与航天运载技术.2009,3:23-28.
    [27]蔡春龙,刘翼,刘一薇.MEMS仪表惯性组合导航系统发展现状与趋势[J].中国惯性技术学报.2009.10:562-567.
    [28]付相松,高社生,张学渊,基于MEMS技术的车载组合导航系统研究[J].计算机测量与控制.2009.17(2):338-341.
    [29]张士钮,张勇,莫明岗,于华男.军用MEMS-IMU的发展及应用[C].惯性技术发展动态发展方向研讨会文集.2011年:229-233.
    [30]李荣冰,刘建业,曾庆化,华冰.基于MEMS技术的微型惯性导航系统的发展现状[J].中国惯性技术学报.2004年12月.第12卷第6期:88-94.
    [31]蒋庆仙.关于MEMS惯性传感器的发展及在组合导航中的应用前景[J].测绘通报,2006(9):5-8
    [32]向怀坤,刘小明.基于MIMU的微小型组合导航系统研究[J].弹箭与制导学报.2005,Vol.24, No.1:322-328.
    [33]郭秋芬.微型梳状线振动陀螺仪特性及干扰因素影响的研究[D].博士论文.哈尔滨工程大学.2008年1月.
    [34]杨宁,张传斌,田蔚风.低精度MIMU系统数据预处理和解算.导弹与航天运载技术.2005年第5期:26-30.
    [35]朱二辉,韩光平,刘凯,刘迎伟.微机械陀螺的动力学特性研究[J].机械强度.2007,29(2):228-232
    [36] ZHANG Rong,CHEN Zhi-yong,ZHOU Bin.ON-LINE SELF-TESTING FORMICRO-MACHINED GYROSCOPES[J].Transactions of Nanjing University ofAeronautics&Astronautics.Jun.2005,Vol.22No.2:98-102.
    [37] STEVEN M. KAY, MEMBER, IEEE, AND STANLEY LAWRENCE MARPLE,JR., MEMBER, IEEE.Spectrum Analysis-A Modern Perspective[J].PROCEEDINGSOF THE IEEE,VOL.69,NO.11,NOVEMBER1981:1380-1419.
    [38]李海宁,俞卞章,苏小应,谢红梅.有色噪声中信号的GLRT检测算法研究[J].计算机仿真.2009年5月,第26卷第5期:349-352.
    [39]李晓莹,胡敏,张鹏,常洪龙.交叠式Allan方差在微机械陀螺随机误差辨识中的应用[J].西北工业大学学报.2007年4月.第25卷第2期:225-229.
    [40] IEEE STD952-1997. IEEE Standard Specification Format Guide and Test Procedure forSingle-Axis Interferometric Fiber Optic Gyros. IEEE Standard Board,1997.
    [41] Allan W D. Statistics of Atomic Frequency Standards. Proceedings of IEEE.1966,54(2):221~230.
    [42] F.J.Harris.On the use of windows for harmonic analysis with discrete Fourier transform[J]. IEEE Proc.1989,66(6):51~83.
    [43] T.Grandke. Interpolation algoritms for discrete Fourier transform of weighted signals[J].IEEE Trans Instrum.Meas.,1983,IM-32(6):350~355.
    [44]邓懿波,谭志洪,黄媛.小波降噪影响因素的研究[J].华东交通大学学报.2005年04月,第22卷第2期:161-164.
    [45] Mallat S.Theory for multiresolution sigal decomposition:the wavelet representationIEEE[J].Transaction on Pattern Analysis Machine Intelligence,1989,11(7):674-693.
    [46] Bui T D, Chen G. Translation-invariant denoising using multi-wavelets [J]. IEEE TransSP.1998,46(12):3414-3420.
    [47]杨兴明,吴永忠,孙锐,杨萍.基于小波多分辨率分析和新的阈值自适应的信号去噪[J].合肥工业大学学报(自然科学版).2007年12月第30卷第12期:1580-1583.
    [48]亓学广.基于FFT和小波变换的电力系统谐波检测方法研究[D].博士论文.山东科技大学.2007年6月:31-40.
    [49]陈涌,王玉兰,周鼎富,刘航.基于小波多分辨率分析的激光雷达弱信号处理[J].激光技术.2005年6月第29卷第3期:278-283.
    [50]王帅灵,樊启斌,郑宏.a尺度正交小波的Mallat算法[J].数学杂志.Vol.27(2007)No.6:664-668.
    [51]张奉军,周燕,曹建国.MALLAT算法快速实现方法及其应用研究.自动化与仪器仪表.2004年第6期(总第116期):4-6.
    [52]陈东义,曹长修,朱冰莲.Mallat塔式算法在一维信号处理中的应用研究[J].重庆大学学报(自然科学版).1999年7月第22卷第4期,Vol.22:49-53.
    [53]王明祥,宁宇蓉,王晋国.基于Mallat算法的一维离散小波变换的实现[J].西北大学学报(自然科学版).2006年6月,第36卷第3期,Vo.l36,No.3:364-368.
    [54] DAUBECHINES I.The wavelet transform, time-frequeney localization and sigualanalysis[J].IEEE Transation Information Theory,1990,36(5):961-1005.
    [55] KULESH M.HOLSCHNEIDER M, XIE Q. Modeling of wave dispersion usingcontinuous wavelet transform[J].Pure and Applied Geophysics2005,162:843-855.
    [56] Mallat S,Zhong S.Wavelet Maxima Representation in Wavelets and Applications
    [M].Berlin: Masson and Springer-Verlag,1991:207~284.
    [57]吴鹏,葛远声,陈世同,薛冰.微机械陀螺信号虚拟野值降噪方法[J].仪器仪表学报.2010,Vol.31(5):1194-1200页.
    [58] Peng Wu, Yuansheng Ge, Shitong Chen,Bing Xue. De-noising Algorithm Based onCompression of Wavelet Coefficient for MEMS Accelerometer Signal[C]. Proceedings ofthe2010IEEE International Conference on Information and Automation. June20-23,Harbin, China.
    [59] MallatS, Zhong S. Characterization of signal from multiscale edges[J]. IEEE Trans. onpattern analysis andmachine intelligence,1992,14(7):710-732.
    [60] Mallat S.A.Theory for Multiresolution Signal Decomposition: The Wavelet Represention.IEEE Transactions on Pattern Analysis and Machina Intelligence.1989,11(7):674~693
    [61] Fu Yan, Zhang Chunqin.A New Seismic Data De-Noising Method Based on WaveletTransform[C].International Conference on Computer Science and InformationTechnology2008:92-96.
    [62] Ye Wu,Yunfeng Wu,Sin-Chun Ng,Yachao Zhou,Ruifan Li,Yixin Zhong.A WaveletMethod for the Noise Reduction in Electrocardiographic Signals.Proceedings of the2007International Confer ence on Wavelet Analysis and Pattern Recognition, Beijing, China,2-4Nov.2007.
    [63] Nurgun Erdol, Filiz Basbug. Wavelet transform based adaptive filters: analysis and newresults [J].IEEE Transactions on signal processing.1996,44(9):2163-2171.
    [64] M. Bouvet, S. C. Schwartz. Comparison of Adaptive and Robust Receivers for SignalDetection in Ambient Underwater Noise[J]. IEEE Transactions on Acoustics. Speech. andSignal Processing,1989,37(5):621-626.
    [65] ChunJiao, DongmingWang, HongbingLu, Member, IEEE, Zhu Zhang, Jerome Z. Liang,Fellow,IEEE. Multiscale Noise Reductionon Low-Dose CT Sinogram by StationaryWavelet Transform[C],2008IEEE Nuclear Science Symposium Conference Record:5339-5344.
    [66]高岚,廖云良,袁中华.尺度适应性二代小波的图像去噪方法[J].船海工程.2007年12月,第36卷第6期:42-45.
    [67]赵阳,施云惠,李蓓丽.基于新的小波变换的去噪方法[J].北京电子科技学院学报.2006年12月,第14卷第4期:28-33.
    [68] D. Donoho. De-noising by soft-Thresholding. IEEE Trans On IT,1995,41(3):613-627
    [69] S.G.Mallat, Hang W L. Singularity detection and processing with wavelets[J]. IEEETrans on Information Theory,1992,38(2):617-643
    [70] Donoho D L. De-noising via soft-thresholding[J]. IEEE Transform.Information Theory,1995,41(3):613-627.
    [71] Donoho D, Johnstone I, Kerkyacharian G. Wavelet shrinkage:asymptopia[J]. J RoyalStat Soc B,1995,57(2):301-369.
    [72] A.Enis Cetin,Rashid Ansari.Signal Recovery from Wavelet Transform Maxima[J]. IEEETRANSACTIONS ON SIGNAL PROCESSING. JANUARY1994,VOL.42, NO.1:194-196.
    [73] Stephane Mallat,Wen Liang Hwang.Singularity Detection and Processing withWavelets.IEEE TRANSACTIONS ON INFORMATION THEORY,.MARCH1992,VOL.38,NO.2:617-643.
    [74]陈景霞,潘立登.基于阈值决策的小波降噪方法研究及其改进[J].北京化工大学学报.2003年,第30卷第6期:84-90.
    [75]胡柏青,魏峥,王伯雄,李安.强噪条件下基于小波降噪的陀螺仪声信号处理方法[J].传感技术学报.2008年6月,第21卷,第6期:1007-1009.
    [76]董永生,羿旭明.基于四种改进阈值的小波去噪方法[J].数学杂志,2006,5:473-477.
    [77]余晃晶.小波降噪阈值选取的研究[J].绍兴文理学院学报(自然科学).2004年9月,第24卷第9期:34-38.
    [78]吴盘龙,张科,李言俊.多小波在光纤陀螺信号滤波中的应用研究[J].测控技术.2005年第24卷第7期:60-62.
    [79]汤巍,李士心,刘鲁源,杨晔.关于陀螺信号处理中小波基选取的研究[J].中国惯性技术学报.2002年10月,第10卷第5期:29-30.
    [80] Philippe Ravier,Pierre-Olivier Amblard.Wavelet packets and de-noising based onhigher-order-statistics for transient detection[J].Signal Processing81(2001):1909-1926
    [81] Piervincenzo Rizzo,Elisa Sorrivi,Francesco Lanza di Scalea, Erasmo Viola.Wavelet-based outlier analysis for guided wave structural monitoring: Application tomulti-wire strands[J].Journal of Sound and Vibration307(2007):52-68.
    [82] Vittoria Bruni, Domenico Vitulano.Wavelet-based signal de-noising via simplesingularities approximation[J].Signal Processing86(2006):859-876.
    [83]李振兴,张慧娟.小波变换在遥测数据野值剔除中的应用[J].航空兵器.2008年10月,2008年第5期:45-47.
    [84]赵圣占,高成文,吴晓琳,等.遥测数据处理的野值剔除方法研究[J].强度与环境.2005,32(1):59-63.
    [85]张婷,汪渤.连续型野值判别的新方法[J].东南大学学报(自然科学版),2005,35(SII):225-227.
    [86] J.Carletta,G. Giakos,N. Patnekar,L. Fraiwan,F. Krach.Design of a field programmablegate array-based platform for real-time de-noising of optical imaging signals usingwavelet transforms[J].Science Direct.Measurement36(2004):289-296
    [87] Ergun Ercelebi.Electrocardiogram signals de-noising using lifting-based discrete wavelettransform[J].Computers in Biology and Medicine34(2004):479-493.
    [88] Radu Ranta, Member, IEEE, Valerie Louis-Dorr, Christian Heinrich, and DidierWolf[J].Iterative Wavelet-Based Denoising Methods and Robust Outlier Detection. IEEESIGNAL PROCESSING LETTERS, VOL.12, NO.8, AUGUST2005:557-560
    [89]柳海峰,姚郁,卢迪,马杰.Kalman滤波新息正交性抗野值法研究[J].电机与控制学报.2003年3月,第7卷第1期:40-42.
    [90] Fabrizio Angiulli, Clara Pizzuti. Outlier Mining in Large High-Dimensional Data Sets [J].IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,FEBRUARY2005,VOL.17, NO.2:203-215.
    [91] Oleg Michailovich,Dan Adam,Robust Estimation of Ultrasound Pulses UsingOutlier-Resistant De-Noising[J].IEEE TRANSACTIONS ON MEDICAL IMAGING,MARCH2003,VOL.22,NO.3:368-381.
    [92] Zbigniew R.Struzik, Arno P.J.M. Siebes.Wavelet transform based multifractal formalismin outlier detection and localisation for financial time series[J].Physica A309(2002):388-402
    [93] Ioannis Delakis, Omer Hammad and Richard I Kitney.Wavelet-based de-noisingalgorithm fo r images acquired w ith p arallel magnetic resonanceimaging(MRI)[J].PHYSICS IN MEDICINE AND B IOLOGY.52(2007):3741-3751.
    [94]李映颖,谭光宇,曲建岭,殷合香,姚海燕.飞行参数野值点的预处理[J].计量与测试技术.2008年第35卷第8期:17-18.
    [95] Scheunders Paul.Wavelet thresholding of multivalued images[J].IEEE Transactions onImage Processing,2004,13(4):475-483.
    [96]葛尧,孟庆慈,安玉华.基于小波变换剔除数据野点的方法[J].飞行器测控学报.2006年6月.第25卷第3期:64-67.
    [97]潘金艳1,朱长纯1,樊建民.微机械陀螺零位误差的研究[J].西安交通大学学报.2006年4月,第40卷第4期:480-483.
    [98]张广莹,邓正隆,傅振宪.陀螺仪温度建模研究[J].系统仿真学报,2003,15(3):369-378.
    [99] Adams G.J, G.C. Goodwin. Parameter estimation for periodically ARMA models [J].Journal of Time Series Analysis,1995(16):127-145.
    [100]Roch Roy,Abdessamad Saidi.Aggregation and systematic sampling of periodic ARMAprocesses[J]. Computational Statistics and Data Analysis52(2008)4287–4304.
    [101]杨爱萍,侯正信,王成优.边界镜像对称延拓双正交小波变换矩阵的构造[J].中国图象图形学报.2008年2月,第13卷第2期:198-203.
    [102]郑丽英,熊金涛,李良超,杨建宇.小波边界处理及实时去噪[J].雷达科学与技术.2007年8月第4期:300-303.
    [103] H.Murakami.Discrete wavelet transform based on cyclic convolutions[J].IEEETrans.Signal Process.Jan.2004,Vol.52,No.1:165-174.
    [104]吕新华,武斌,攸阳,丁飞.小波变换Mallat算法实现中的边界延拓研究[J].天津理工大学学报.2006年4月第22卷第2期:14-17.
    [105]刘志成,陈祥光,李宇峰,李兵.传感器输出时间序列的实时小波滤波方法[J].北京化工大学学报.2007年,第34卷第1期:71-75.
    [106]吕品,刘建业,赖际舟,凌冬.光纤陀螺实时小波去噪中的阈值选取[J].弹箭与制导学报.2009年02月,第29卷第1期:18-22.
    [107]钱峰,胡光氓.基于滑动时窗的小波变换实时算法[J].信号处理.2007年6月.第23卷第3期:361-364.
    [108]蒋东方,陈明.一种实时小波降噪算法仪[J].器仪表学报.2004年12月.第25卷第6期:781-785.
    [109]邱建勋,潘英俊,刘宇等.基于神经网络的压电陀螺的零位漂移补偿[J].仪器仪表学报.2006,27(6):842-844.
    [110]潘金艳,朱长纯,樊建民.微机械陀螺零位误差的研究[J].西安交通大学学报.2006年4月.第40卷第4期:480-483.
    [111] Yacine Chakhchoukh, A New Robust Estimation Method for ARMA Models[J].IEEETRANSACTIONS ON SIGNAL PROCESSING, JULY2010, VOL.58, NO.7:3512-3522.
    [112] Miki Haseyama,Nobuo Nagai,Nobuhiro Miki. An Adaptive ARMA Four-Line LatticeFilter for Spectral Estimation with Frequency Weighting.IEEE TRANSACTIONS ONSIGNAL PROCESSING,JUNE1993,VOL.41,NO.6:2193-2207
    [113]张贤达.ARMA噪声中的正弦波检测[J].通信学报.1994年3月.第15卷第2期:46-53.
    [114] KaySM,Marple S L.Spectrum analysis-modern perspective. Proc IEEE.69(1951):1380-1408
    [115] Sano A,Hashimoto K. Adaptive recursive scheme for spectral analysis of sinusoids insignals with unknown colored spectrum.Proc ICASSP,1985:109-112.
    [116]张海鹏,房建成,盛蔚.石英MEMS陀螺漂移的周期性误差标定及补偿[J].北京航空航天大学学报.2007年12月.第33卷第12期:1412-1416.
    [117]张海鹏,房建成.MEMS陀螺仪短时漂移特性实验研究[J].中国惯性技术学报.2007,15(1):101-104.
    [118]张海鹏,房建成.石英MEMS陀螺漂移周期性误差补偿研究[J].仪器仪表学报.2008年6月.第29卷第6期:1225-1230.
    [119]杨金显.微惯性测量系统关键技术研究[D].博士论文.哈尔滨工程大学.2008年6月:32-37,64-67.
    [120] Tracey Cassar, Kenneth P. Camilleri, Simon G. Fabri. Order Estimation of MultivariateARMA Models[J].IEEE JOURNAL OF SELECTED TOPICS IN SIGNALPROCESSING.JUNE2010,VOL.4,NO.3:494-503.
    [121]李颖,陈兴林.ARMA模型辨识及其在光纤陀螺漂移建模中的应用[J].系统工程与电子技术2008年9月.第30卷第9期:1752-1754.
    [122] Hasan M K, Hossain N M, Naylor P A. Autocorrelation model-based identificationmethod for ARMA system in noise[J].IEEE Proc.-Vis.Image SignalProcess,2005,152(5):520-526.
    [123] Kaderli A, Kayhan A S. Spectral estimation of ARMA processes using ARMA-cepstumrecursion[J].IEEE Signal Processing Letters,2000,7(9):259-261.
    [124] Kanai H, Abe M, Kido K. Accurate autoregressive spectrum estimation at lowsignal-to-noise ratio using a phase matching technique[J]. IEEE Trans. on AcousticsSpeech and Signal Processing,1987,35(9):1264-1272.
    [125] Broersen P M T, Waele S D. Automatic identification of time-series models from longautoregressive models[J].IEEE Trans.on Instrumentation andMeasurement,2005,54(5):1862-1868.
    [126]臧荣春,崔平远.陀螺随机漂移时间序列建模方法研究[J].系统仿真学报,2005,17(8):1845-1847.
    [127]王新龙,陈涛,杜宇.基于ARMA模型的光纤陀螺漂移数据建模方法研究[J].弹箭与制导学报.2006,26(1):5-7.
    [128]曲国福,刘宏昭.梳状音叉MEMS陀螺漂移时间序列建模方法研究[J].传感器与微系统.2008年第27卷第6期:21-23.
    [129]李荣冰,刘建业,林雪原.梳状音叉MEMS陀螺非随机误差分析[J].电子科技大学学报.2006,35(6):929-931.
    [130]王新龙,陈涛,杜宇.基于ARMA模型的光纤陀螺漂移数据建模方法研究[J].弹箭与制导学报.2006年,第26卷第1期:5-11.
    [131] Miguel A. Lagunas Hern′andez, Petre Stoica. Miguel A. RojasARMA PARAMETERESTIMATION: REVISITING A CEPSTRUM-BASED METHOD[C].ICASSP2008:3685-3688.
    [132] ANANTHRAM SWAMI, JERRY M. MENDEL. ARMA Parameter Estimation UsingOnly Output Cumulants[J]. IEEE TRANSACTIONS ON ACOUSTICS SPFECH ANDSIGNAL PROCESSING.JULY1990,VOL.38,NO.7:1257-1265.
    [133]邓自立,马建为,杜洪越.ARMA模型参数估计的两段最小二乘法[J].科学技术与工程.2002年第2卷第5期:3-5.
    [134] A. Kizilkaya, A. H. Kayran. ARMA model parameter estimation based on theequivalent MA approach. Digital Signal Processing,2006,16(6):670-681
    [135]邓自立,石莹.ARMA信号最优递推滤波的一种统一方法[J].黑龙江大学自然科学学报.1997年12月.第14卷第4期:29-31.
    [136]邓自立,郭一新.现代时间序列分析及其应用[M].北京:知识出版社,1989:1-10.
    [137]陈殿生,邵志浩,雷旭升.MEMS陀螺仪随机误差滤波[J].北京航空航天大学学报.2009年2月第35卷第2期:246-250.
    [138]徐丽娜,邓正隆.陀螺仪漂移特性的小波分析[J].中国惯性技术学报.2001,9(3):57-60.
    [139]赵世峰,张海,沈小蓉,等. MEMS陀螺随机噪声的多尺度时间序列建模[J].中国惯性技术学报,2006,14(5):78-80.
    [140]管斌,李涛,吴美平,王荔斌.一种应用磁强计提高导航系统航向精度的方法[J].传感器与微系统.2010年,第29卷第8期:37-40.
    [141]杜英,李杰,孔祥雷,王博,于希宁.无航向基准条件下电子罗盘的误差补偿方法研究[J].传感技术学报.2010年9月,第23卷第9期:1285-1288.
    [142]黄琳,荆武兴.卫星姿态确定与三轴磁强计校正[J].宇航学报.2008年5月,第29卷第3期:854-859.
    [143]王勇军,李智,李翔.三轴电子罗盘的设计与误差校正[J].传感器与微系统.2010年第29卷第10期:110-112.
    [144]朱均,董大群.三轴磁强计转向差的自适应校正[J].仪器仪表学报.1999年5月,第20卷第4期:392-397.
    [145]秦勇,赵杰,王晓宇.基于椭圆拟合误差补偿算法的数字磁罗盘[J].吉林大学学报(工学版).2009年3月,第39卷第2期:489-493.
    [146]张爱军,王昌明,赵辉.三轴电子罗盘的磁航向角误差补偿研究[J].传感器与微系统.2008年第27卷第8期:33-35.
    [147] Peng Wu, Yuansheng Ge,Haijing Yuan.Research on Attitude Updating AlgorithmBased on Modified Rodrigues Parameters for Low cost Attitude and Heading ReferenceSystem. Proceedings of the2010IEEE International Conference on Information andAutomationJune20-23, Harbin, China.
    [148]黄旭,王常虹,伊国兴,王玉峰.利用磁强计及微机械加速度计和陀螺的姿态估计扩展卡尔曼滤波器[J].中国惯性技术学报.2005年4月.第13卷第2期:27-34.
    [149]薛亮,姜澄宇,常洪龙,袁广民,苑伟政.基于状态约束的MIMU/磁强计组合姿态估计滤波算法[J].中国惯性技术学报.2009年6月,第17卷第3期:338-343.
    [150]黄旭,王常虹.基于微机械惯性器件和磁强计的姿态航向系统[J].传感器技术.2005年第24卷第8期:54-56.
    [151]赵鹤,王站壶.基于UKF的MEMS传感器姿态测量系统[J].传感技术学报.2011年5月,第24卷第5期:642-646.
    [152] Zhang Hua,Ke Xizheng,Jiao Rong.Experimental Research on feedback Kalman Modelof MEMS Gyroscope[C].The Eighth International Conference on Electronic Measurementand Instruments ICEMI'2007:253-256.

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