船舶动力定位参数辨识
对船舶数学模型的各个推进器参数进行系统辨识，具有实际价值李文华,等:船舶动力定位系统数学模型参数辨识方法研究针对动力定位技术的发展,我国研究人员也进表1离散时间摘要扩展卡尔曼滤波行了积极有益的探索。文献[]用固定增益的卡尔f(k+1)=F((k),(k)+vw(k)曼滤波估计低频运动,而高频运动则用一个参数模系统模型量测|/(k)~N(O,Q(k》)x(k)=H((k)();型来模拟,并用递推增广最小二乘法来估计参数,从u(k)-N(0,Q(k)而估计出船舶的髙频运动。通过控制计算和模拟试初始情况1(0)+5np(0)=验取得了良好的效果。文献[12]提出了水面舰船动力定位控制系统模型参数的离线最速下降寻优的状态估计传递|(k+1)=F((k),()误差协方差传递辨识方法,提高了动力定位系统研制过程的工作效P(h+1)=(h)P()(k)+r(kQ(k )r(k)率。文献[13]在建立船舶三维几何模型基础上,对K()=P(k)HT(k)H()(kH()+R()]-满载船舶从浅水40m到深水500m的水动力系状态估计更新)=()1)((数进行数值计算。利用三维线性势流理论在频域误差协方差更新P)=kk)H(FLK)H()y里研究船舶在浅水中的辐射问题,应用三维源汇分K()R(k)K(k)布法对不同水深下船舶运动的水动力系数,包括附定义φ(k)=0()JH(-)加质量和阻尼系数进行数值计算与分析,得出了有(k)H(k)=0(k)限深水域的附加质量和阻尼系数的渐进特性。文献14]考虑具有修正PM波谱的长峰不规则浪,基于尾部隧道式侧推m,艏部隧道式侧推,艄部方海浪幅值响应算子(RAO研究了船舶在海浪中的六角式推进器。质量阵M可利用文献9]里介绍自由度运动预报模型。为了有效地量化海洋环境对的 Strip Theory计算得到:动力定位船舶的作用,文献[5提出了海洋环境负从/1127400018902-00744载(包括风、海浪和海流)的建模方法,并运用00.07440.1278MATLAB的M文件和SIMUⅠNK分别编制了风干为了得到需要辨识的量需重复进行3项(每项扰力和力矩计算及随机海浪的仿真程序。在三级海2次,共6次)海上试验,以此提高参数估计器的收况下,实现了对海洋环境的仿真,得到了合理的仿真敛性和表现。具体如下结果。文献[1]考虑到船舶的动态特性存在固有的第1项:解耦了的纵荡运动。船舶仅依靠主螺强非线性以及非线性控制改善系统性能和鲁棒性的旋桨山和实现恒速前进,艏向通过艏侧推控制。能力,将非线性控制理论应用到船舶动力定位控制第2项:结耦了的横荡与艏摇运动。通过三个隧道系统的设计中,对某供应船的计算机模型进行仿真,式推进器砌、4、实现两次结耦了的横荡与艏摇运验证了非线性控制系统是有效的。文献[17]提出并动。第3项:在结耦的横荡与艏摇运动中得到方位验证了基于线性核函数在线支持向量回归的模型预角式推进器u的推力系数K6测控制方案。在线支持向量回归算法的引入可以通第1项是为了计算主螺旋桨的推力系数K1和过在线调整,确保预测模型的精确性。Xa,需要的输入量是X本文中X的计算方法是利22船舶数学模型参数辨识用文献[19]里介绍的切片法。第2项是为了计算结文献[18]讨论了使用两个并行测量序列来估计耦了的横荡与艏摇运动的参数数值,可以辨识出的动力定位船舶模型参数的离线并行扩展卡尔曼滤波向量为[ YYNNK3K5]第3项是为了计算全方器算法(O- line parallel extended Kalman filter位推进器的推力系数K6( EKF) Algorithm),见表1。最后采用一项以供给船使用动量方程来代替标准动力学方程,不仅可为对象的全尺度的海上试验来验证提出的参数估计以显著提高状态和参数估计器的性能还具有以下器的收敛性和鲁棒性。优点:实验对象以挪威ABB公司的“ Far Scandia”号供(1)增加数据冗余度;给船为原型。该船总长762m,船宽18:8m,型深(2)降低量测噪声;825m,吃水625m,净吨位4200t,主发动机功率(3)降低环境干扰;3533kW。推进器配置左右舷两个主推进器u1、l2,(4)增加数据记录长度第23卷第3期(总第135期)船羔vd.23N.3012年6月shiP boatJune, 2012(5)以对参数分批进行辨识等手段提高参数辨风。将风速分量定义为识的精确度。L=v,cos(ψ图2显示了实验辨识得到的A和。其中A包(5)W V sin(B-0)含的待求未知量[XyYM而R包含的待求末式中和v分别为风速在X轴和Y轴的分量;v知量是[kk2k3k4k5k6]。和月分别表示风速和风向。如图1所示。假设风速远大于船速,风在纵荡、横荡和艏摇方向的负荷向量可表述为As elements.pAcM(o)V, IV0.5p.A_C-(r )V,V6)0.SpA,Lo C(rm)VV.式中,风的相对角为y=ψp为空气密度,单位e号为kgm3;Lm为船舶总长,单位为m;V为相对风速,103K elements单位为kn;A-和A为正投影面积和侧投影面积,2015单位均为m2;C(y)Cn(y)和C(4)分别为纵荡横荡和艄摇方向的无因次风系数,是通过 Isherwood半经验公式得到的。00003,波浪扰动数学模型波浪干扰力一般分为两种:一种是一阶波浪干图2实验辨识得到的参数曲线扰力,也称高频波浪干扰力。这是在假设波浪为微幅波,未引起船舶大幅摇荡的情况下,认为船舶受到经实验辨识出的动量方程中的量:与波高成线性关系并且与波浪同频率的波浪力。另0.03180种是二阶波浪力,也称波浪漂移力该波浪力与波A000602006l8高平方成比例。0.0075_0.2454这种具有高频率小振幅振荡特性的波浪所产生K=103ding([93,93,20,2.0,28,26]的一阶波浪干扰力最主要是引发船舶的纵摇和垂荡经过计算公式D-M得到运动,对横摇的影响稍次之,而对横荡及艄摇运动的002820影响相对来说就小一些。至于具有慢时变特性的二00.0130475900.081419676阶波浪干扰力,本身同时又是非线性的,它仍然和波写成动力定位模式下的状态空间表达式为:浪的频率有关。波浪的二阶漂移力不但会改变船舶元=AU+Bx(4)疔的航向和航迹,尤其对于在锚泊状态下船舶位置的移动及钻井平台的动力定位系统的工作等均有式中A=MA4M,并且B=MTK。其数值表达式为:重要影响00318000.062800030下面介绍一种估算二阶波浪漂移力方法。19740.0046-0.2428年, Newman提出一种应用频域波浪漂移力系数的0008200082000估算方法。通过把波谱(通常选用PM谱)分为N0∞505-069000108等份,每份有相对应的波浪频率m和波幅A。这样波浪漂移力对横荡、纵荡、艏摇运动的作用力计算公3环境扰动数学模型式为131风扰动数学模型A,(T(W,B=-y)1(W+)风的作用可分为平缓变化的风和快速变化的李文华,等:船舶动力定位系统数学模型参数辨识方法研究[5] Fossen T L. Handbook of Marine Craft Hydrodynamics and式中,T()x0是频域波浪偏移力公式fB是平均Motion Control[M]. Wiley Sons Ltd, 2011: 81-83.波浪方向:是随机的相角。[6] Balchen J G, Jenssen N A, Saelid S Dynamic Positioning可以通过对本估算式进行改变,以避免在数值Using Kalman Filtering and Optimal Control Theory[C]/上产生无物理意义的高频分量。还可对本式进行扩Proceedings of IFAC/IFIP Symposium on Automation in展,用来包括波浪蔓延( wave spreading)。Offshore Oil Field Operation Norway 1976: 183-18633海流扰动数学模型[7]Balchen J G, Jenssen N A Mathisen E, et al. Dynamic作用在海上动力定位船舶上的海流具有方向和Positioning System Based on Kalman Filtering and OptimalControl[J]Modeling, Identification and ControL 1980, 1(3)速度的特征,研究中一般不考虑在大地坐标系下铅135-163垂方向运动。海流分为恒定流和潮汐流。恒定流一般[8] Strand JP, Fossen t inonlinear Passive Observer Design为固定方向和速度的海流,如洋流。潮汐流指海洋for Ships with Adaptive Wave Filtering, In: New Directions因为潮汐运动而引起的海水流动,其典型的表现为in Nonlinear Observer Design(Nijmeijer H, Fossen T L)海流方向的缓慢变化。但对于动力定位来说,海流[M].London: Springer-Verlag London Ld, 1999: 113-134的大小与方向可以认为是确定的,所以海流的模型[9] Guttorm t, Jerome J, Fosset I. Nonlinear Dynamic可以统一按照大小和方向恒定来确立。流的速度分Positioning of Ships with Gain-Scheduled Wave Filtering量表示为5:[C]//The Proceedings of 43rd IEEE Conference orL=V2cos(ψ)Decision and Control, Atlantis, Paradise Island, BahamasDecemher2004:5340-5347ve=y sin(8-n)式中:和v分别为流速在X轴和y轴的分量;V10 i Do K d. Global Robust and Adaptive Output FeedbackDynamic Positioning of Surface Ships[C]/The Proceedings和月分别代表流速和流向。如图1所示。of 2007 IEEE Internati在此没有考虑第摇方向的流速,而海流对水面Automation. Roma, April 2007: 10-14船舶的作用可以通过将各海流速度分量引人到船的1]王晓声船舶动力定位系统设计及试验研究门J国造运动方程中由相对速度向量v=[u-,-a,r丁体现。船,1991(3):12-21[12]边信黔,严渐平,施小成船舶动力定位系统参数辨识4结论方法的研究[J]船舶工程,19994):36-38[13]姜哲,石珦,王磊动力定位船舶水动力参数数值试验本文讨论了船舶及推进器动力学数学模型与船研究[门]实验室研究与搡索,2005(12):14-17.舶外界环境干扰因素数学模型的建模策略。通过对14]李文魁张博田蔚风等.一种波浪中的船舶动力定位已有研究方法的分析研究与总结,有助于建立适用运动建模方法研究[]仪器仪表学报,2007(6):1051于各种海况和操作模式的船舶动力定位系统非线性数学模型。[15]施小成王元慧船舶动力定位海洋环境的建模与仿真J,计算机仿真,2006(11):237-239[16]刘芙蓉陈辉基于非线性控制理论的船舶动力定位控[参考文献制系统的数学模型[〕船海工程,209(5):92-95[1]杜佳璐,张显库汪思源,等船舶动力定位系统的自适[17]邓志良,胡寿松,张军峰船舶动力定位系统的在线模应非线性控制器设计[ C]/proceedings of the2 g chinese型预测控制[门中国造船,2009(6):879Control Conference. Beijing, 2010: 585-589.[2]周利,王磊,陈恒动力定位控制系统研究[船海[18] Fossen T I.Identification of Dynamically Positioned Shipe[].Control Engineering Practice, Volume 4, Issue 3, March程,008,37(2)86-911996:369-376[3]马超庄亚锋陈俊英船舶动力定位系统技术[J中国[19] FaltinsenO M Sea Loads on Ships and Oishore Structures造船,2009,50(增刊):52-57[4]贾欣乐,杨盐生船舶运动数学模型机理建模与数学建[M].Cambridge University Press, 1990:41-45模[M]大连大连海事大学出版社,199:294-356船舶动力定位系统数学模型参数辨识方法研究旧WANFANG DATA文献链接作者:李文华,杜佳璐,张银东,宋健,孙玉清,陈海泉, LI Wen-hua, DU Jia-luZHANG Yin-dong, SONG Jian, SUN Yu-ging, CHEN Hai-quan作者单位李文华,张银东,宋健,孙玉清,陈海泉, LI Wen-hua, ZHANG Yin-dong, SONG Jian, suN Yu-qing, chen Hai-quan(大连海事大学轮机工程学院大连116026),杜佳璐, DU Jia-lu(大连海事大学信息科学技术学院大连116026)刊名:船舶英文刊名:Ship boat年,卷(期):2012,23(3)参考文献(19条1. Balchen J G; Jenssen N A; Mathisen E Dynamic Positioning System Based on Kalmon Filtering andOptimal Control 1980(03)2. Balchen J G; Jenssen N A; Saelid S Dynamic Positioning Using Kalman Filtering and Optimal ControlTheory 19763. Fossen T I Handbook of Marine Craft Hydrodynamics and Motion Control 20114贾欣乐;杨盐生船舶运动数学模型机理建模与数学建模19995.马超;庄亚锋;陈俊英船舶动力定位系统技术2009(增刊)6.周利;王磊;陈恒动力定位控制系统研究[期刊论文]船海工程2008(02)7. Faltinsen 0 M Sea Loads on Ships and Offshore Structures 19908. Fossen t I Identification of Dynamically Positioned Ships 19969.邓志良;胡寿松;张军峰船舶动力定位系统的在线模型预测控制2009(06)10.刘芙蓉;陈辉基于非线性控制理论的船舶动力定位控制系统的数学模型[期刊论文]船海工程2009(05)11.施小成;王元慧船舶动力定位海洋环境的建模与仿真[期刊论文]计算机仿真2006(11)12.李文魁;张博;田蔚风一种波浪中的船舶动力定位运动建模方法硏究[期刊论文]仪器仪表学报2007(06)13.姜哲;石珣;王磊动力定位船舶水动力参数数值试验硏究[期刊论文]实验室硏究与探索2005(12)14.边信黔;严浙平;施小成船舶动力定位系统参数辨识方法的硏究[期刊论文]船舶工程1999(01)15.王晓声船舶动力定位系统设计及试验研究1991(03)Do K d Global robust and Adaptive Output Feedback Dynamic Positioning of Surface Ships 200717. Guttorm T; Jer(o)me J; Fossen T I Nonlinear Dynamic Positioning of Ships with Gain-Scheduled WaveFiltering 200418. Strand J P; Fossen T I Nonlinear Passive Observer Design for Ships with Adaptive Wave Filtering19.杜佳璐;张显库;汪思源船舶动力定位系统的自适应非线性控制器设计2010本文链接http://d.g.wanfangdata.comcn/periodiCalcb201203011.aspx
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imx274 datesheet，可以对接Hi3519V101，4K，分享一下SONYIMX274LQC-CAbsolute Maximum RatingsItemSymbolRatingsUnitSupply voltage(Analog)1ADD0.3to+3.3VSupply voltage(Digital 1)-0.5to+2.0Supply voltage(Digital 2)DDD20.5to+3.3VInput voltage(Digital)0.3toV。Dp+0.3VOutput voltage(Digital)-0.3toVD2+0.3Guaranteed operating temperature TOPR-30to+75°CStorage guarantee temperatureTSTG30to+80CPerformance guarantee temperature TsPEC10to+60Recommended Operating ConditionsItemSymbolRatingSupply voltage(Analog)VADD2.8±0.1Supply voltage(Digital 1)1.2±0.1VSupply voltage(Digital 2)1.8±0.1Input voltage(Digital)-0.1 to Vopp2+0.11 VADD: VDDSUB, VoDHCM, VoDHPX, VDDHDA, VDDHCP (2.8V power supplyVDDD1: VDDLCN, VDDLSC1 to 2, VDDLPA, VDDLPL1, VoDLPL2 to 3. VDDLIF (1.2V power supply)VDDD2: VDDMIO, VDDMIF (1.8V power supply)SONYIMX274LQC-CUSE RESTRICTION NOTICEThis USE RESTRIC TION NOTICE (Notice )is for customers who are considering or currently using theimage sensor products("Products")set forth in this specifications book. 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You should review those terms and conditions when you consider purchasingand/or using the ProductsGeneral-0.0. 8SONYIMX274LQC-CContentsDescription---FeaturesDevice structureOptical Black Array and Readout Scan Direction---Absolute Maximum Ratings2233Recommended Operating Conditions---------------USE RESTRICTION NOTICEContentsOptical CePin Configuration------------------Pin description-------------------------458899hen using csl-2When using Sub-LVDS1210 Equivalent Circuit Diagram15Peripheral Circuit19System OutlineWhen using CSl-2When using Sub-LVDSElectrical Characteristics when using cs1-2--------------------------m---------------------------------21. DC Characteristics(CS1-2)a.8..4Current Consumption and Gain Variable Range(CSl-2Supply Voltage and l/O Voltage(CS1-2)2. AC Characteristics(CS1-222INCK, XCLR(CSl-2)22XHS, XVS(Output)(CSI-2)22IC Communication (CSI-2)23DMCKP/DMCKN, DMO(CSl-2Electrical Characteristics When Using Sub-LVDs-------------------m--------------------------1. DC Characteristics(Sub-LVDs)……Current Consumption and gain Variable Range sub-LVDS24Supply Voltage and l/o Voltage(Sub-LVDSLVDS Output DC Characteristics(Sub-LVDS2. AC Characteristics ( Sub-LVDS).........25INCK, XCLR, XVS(input), XHS (input)(Sub-LVDS25Serial Communication(Sub-LVDS)Sub-LVDS Output(Sub-LVDS)26Spectral Sensitivity Characteristics(CS1-2 and Sub-LVDS27Image Sensor Characteristics(CSl-2 and Sub-LVDS)-281. Zone Definition of Image Sensor Characteristics28mage Sensor Characteristics Measurement Method(CSl-2 and Sub-LVDS)1. Measurement conditions2. Color Coding of this Image Sensor and Readout..293. Definition of Standard Imaging Conditions29Setting Registers Using I"C Communication(When Using CSl-2Description of Setting Registers When Using I C communication31Pin Connection of Serial Communication Operation Specifications When Using I"C CommunicationRegister Communication Timing When Using I-C Communication12C Communication Protocol32Register Write and Read33Single Read from Random Location33Single read from current location; iidaiaii:;aaaa“Sequential Read Starting from Random LocationSequential Read Starting from Current Location34Single Write to Random Location35Sequential Write Starting from Random Location35Register Value Reflection Timing to Output Data(CSl-2)36SONYIMX274LQC-CSetting Registers Using Serial Communication (When Using Sub-LVDS)----------------37Setting Registers Using Serial Communication(Sub-LVDS).37Register Value Reflection Timing to Output Data( Sub-LVDS38Register Map…391. Description of Register2. Register Setting for Each Readout Drive Modeeadout Drive Modes( csl-2 and Sub-LVDS)---------------------551. Readout drive modes552. Relationship between Arithmetic Processing and the Number of Output bits in Each Readout Drive ModeImage Data Output Format When Using CSI-2--------------------------58Frame Format (CSI-2)58Frame Structure(CSl-258Embedded Data Line(CSl-2)59CSl-2 serial Output Setting(CSl-2)MIPI Transmitter(CSl-2)62Detailed Specification of Each Mode(CSl-2)---------------631. Horizontal/ Vertical Operation Period in Each Readout Drive Mode(CSl-22. Frame Rate Adjustment(CSl-23. Image Data Output Format CSl-265Vertical Arbitrary Cropping Function(CSl-2)-69Horizontal Arbitrary Cropping Function(CSl-272Electronic Shutter Timing When Using CSI-2------741. SHR, SVR, SMD Setting When Using CSl-2741-1. SHR, SVR Setting(CSl-2)741-2. Electronic Shutter Drive Mode(Csl-2)752. Integration Time in Each Readout Drive Mode and Mode Changes When Using CSl-2762-1. Integration Time in Each Readout Drive Mode(CSl-2762-2. Operation when Changing the Readout Drive Mode(CSl-2772-3. Low Power Consumption Drive in Integration Time When Using Roll ing Shutter Operation(CSl-2)78Image Data Output Format When Using Sub-LVDS--791. Sync Signals and Data Output Timing(Sub-LVDS)““792. Output Range of LVDS Output Data(Sub-LVDS)Detailed Specification of Each Mode(Sub-LVDS)删mHorizontal/Vertical Operation Period in Each Readout Drive Mode(sub-LVDs)..........2. Frame Rate Adjus咖ment(Sub-LVDS)……3. Image Data Output Format ( Sub-LVDS)Vertical Arbitrary Cropping(Sub-LVDS)Horizontal arbitrary cropping function(Sub-LVDS)----m94Electronic Shutter Timing When Using Sub-LVDS961. SHR, SVR Setting(Sub-LVDS)...962. SVR Operation (Sub-LVDS3. Electronic Shutter Drive Mode( Sub-LVDS)974. Integration Time in Each Readout Drive Mode and mode changes When Using Sub-LVDS984-1. Integration Time in Each Readout Drive Mode(Sub-LVDS984-2. Operation when Changing the Readout Drive Mode(Sub-LVDS994-3. Recommended Global Reset Shutter Operation Sequence(Sub-LVDS)1004-4. Interruptive Mode Change(Sub-LVDS4-5. Low Power Consumption Drive in Exposure Time (Sub-LVDS)…102Power-on/off Sequence when using CSI-2---1031. Power-on Sequence(CS2)……1032. Slew Rate Limitation of Power-on Sequence( CSI-21033. Power-off Sequence(CSl-2104Standby cancel sequence when using csl-2--------------------------105Power-on/off Sequence when using Sub-LVDS1161. Power-on Sequence(Sub-LVDS)1062. Slew Rate Limitation of Power-on Sequence(Sub-LVDS).........1063. Power-off Sequence(Sub-LVDS)107Standby Cancel Sequence(Sub-LVDs)------------108SONYIMX274LQC-CSpot Pixel specifications--109Spot Pixel Zone Definition109Notice on White Pixels SpecificationsMeasurement Method for Spot Pixels1111. Black or white pixels at high light1112. White pixels in the dark.3. Black pixels at signal saturated111Spot Pixel Pattern Specifications----------------m---------------------------------------------------112Stain Specifications---113Stain Zone definition113Stain Measurement method.113Relation between Image height and target Cra-----Marking---------mm---------------115Notes on Handling116Package outline ---118List of Trademark Logos and Definition Statements-------------119SONYIMX274LQC-COptical Center(Top View)Package outline10.70±0.1mmPKG lpinM1A1Optical centerM1010See page TBD Package Outl ine" for detailsOptical CenterPin ConfigurationBottom View)lpin index6666δ画δ尚画○●Bottom viewQ§③¤¤意○○○○○○○○10○o⑦A b CE F GMPin configurationSONYIMX274LQC-CPin DescriptionWhen using CS1-2Pin descriptionState inSymbolOADRemarks(CS|-2Standby modeLeave openA2TEST4ATest(No connectionA3VDDHDa Power a Analog power supply (2.8V)A4VDD SUB PowerAnalog power supply(2.8VA5VDDLSC1PowerD Digital power supply(1.2v)A6VssLSC1GNDDDigital GND(1.2V)A7VDDLPL3 Power D Digital power supply (1.2 V)A8VDDLIFowerDigital power supply(1.2v)Leave openB1TEST5ATest(No connectionB2ssHDA GND A Analog GND (2.8V)B3BIASRESResister connectionB4/BGRCapacitor connectionB5GNDD Digital GND (1B6XCLRReset pulse inputB7VssLPL3GNDDigital GND (1.2VB8 VsSLIF1 GND D Digital GND (1.2V)B9DMO4NDigital MiPl outputLow LevelData lane 4connectionB10DMO4P。DDigital MIPl outputLow LevelData lane 4connectionC1TESt3TestLeave open(No connectionC2XCECannect to 1.8 V power supplyLeave openC3TEST1D(No connectionC4TEST2estLeave open(No connectionC5VDDLPAPowerDDigital power supply(1.2v)C6 VDDLPL2 Power D Digital power supply (1.2V)C7 VssLPL2 GND D Digital GND(1.2V)c9DMO2NDigital MIPl outputLow LevelData lane 2connectionData lane 2C10DMO2PDigital MIPl outputLow LevelconnectionD1XHSDDDDHorizontal sync signal outputIf unused xHsleave openD2SDOlest outputLow Leve/ Leave openNo connectionVertical sync signal outpuf unusedⅩVSDleave openD9DMCKND Digital MIPl outputLow LevelClock laneconnectionD10DMCKPDigital MIPl outputLow levelClock LaneconnectionE1SCLDDDc communication clock inputC communication dataE2SDAOinput/outputSONYIMX274LQC-CPinPin descriptionSymbolADState inRemarksNoCS-2Stand by modeE3VSSLCBGNDDigital GND(1.2 V)E8VssLlF2GNDDigital GND(1.2 V)E9DMO1NE10DMO1POFVDDLSC2 PowerF2VssLSC3 PowerDDDDDDADData lane 1Digital MIPl outputLow LevelconnectionData lane 1Digital MIPI outputLow LevelconnectionDigital power supply (1.2 V)Digital power supply (1.2 v)F3VopHCMPowerAnalog power supply(2.8 V)F8INCKInput clockDMO3NDigital MIPl outputData lane 3Low LevelconnectionF10 DMO3PData lane 3Digital MIPI outputLow LevelconnectionG3VssHCPGNDAAnalog GND (2.8V)G8VssLSC2 GND D Digital GND(1.2V)G9VssMIF2 GNDD Digital GND (1.8VG10VoDMIFPowerDDigital power supply (1.8V)H1VDDLCN GND D Digital GND(1.2V)VsSLCNGNDDigital GND (1.2 VH3VopHCPPowerAnalog power supply(2.8VDLO2P( Pin for Sub-LVDS)Leave open(No connectionH9DLO2M000(Pin for Sub-LVDS)Leave open(No connectiH10DLOOP(Pin for Sub-LVDS)Leave open(No connection)VssHPX3 GND AAnalog GND(2.8 V)J3VoDHPXPowerDLO3PADDDAADDAnalog power supply(2.8 V)(Pin for Sub-LVDS)Leave open(No connectionDLO3MO00(Pin for Sub-LVDS)Leave open(No connection)J10DLOOMD(Pin for Sub-LVDS)eave open(No connection)K2VssLPL 1GNDDDigital GND(1.2V)K3 VDDLPL1 Power D Digital power supply(1.2V)K4VoDMIO Power D Digital power supply(1.8V)K5DLO1M(Pin for Sub-LVDS)Leave open(No connectionDLCKM0b「(Pin for Sub-LVDS)Leave open(No connection)Leave openK7DLCKPD(Pin for Sub-LVDS(No connectionLeave openK8DLO9PD(Pin for Sub-LVDS)(No connectionLeave openK9DLO9M(Pin for Sub-LVDS)(No connectionK10DLO5P(Pin for Sub-LVDS)Leave openNo connection
- 2020-12-11下载
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基于MATLAB复调制ZOOM-FFT算法的分析和实现
基于MATLAB复调制ZOOM-FFT算法的分析和实现2006年第4期舰船电子工程121滤波;使用函数来实现傅立叶变换次复数乘法。设数字滤波器的阶数为K,滤波器系数离线生成,则滤波需要DNK次复数乘法,则总4 Matlab仿真和验证的运算量为为验证上述算法及分析过程的正确性,在MatZFFTNloN+2N+DN·K(3)中产生一个正弦组合信号3随着细化倍数的增加,基带FFT和ZFFT的运算量x(t)=30cos(2m110t)+30cos(2x11145t)都会大幅度增加;zFF只有当细化频带较窄(此时+25cos(2x112.3t)+48cos(2m113.8t)无需数字滤波)或长序列的情况下,与基带FT相+50co(2x114.5t)比才具有运算量上的优势。分别利用基带FT和ZT对其进行谱分析ZFT算法存在自身的局限性,其存在的问题仿真条件:f=2048H,F点数N=1024,细化倍数D=50。基带FFT的频率分辨率4f=2H,历如下:(1)需要存放中间数据的内存空间巨大限制ZF的频率分辨率△f=0.04H。仿真结果如图了最大细化倍数2和图3所示。(2)采用具有线性相位的FIR数字滤波器实igure(n现抗混叠滤波,由于有限阶滤波器的吉布斯效应( Gibbs effect),滤波器截止频率处的频谱不可避免020040060080010001200会出现局部失真。(3)细化倍数越高,重釆样的选抽比越高,则细化带宽越窄。当需要细化的带宽较大时,必须进5行多次细化,这势必会增加计算量。Figure(4)频率成分调整较复杂。将FT和谱分析105110115130得到的频率成分调整到所选频带的频率成分式较Frequency(Hz复杂的过程,特别是为了避免低通抗混滤波器的边图3FF幅值频谱缘误差造成的频率混叠为了比较频率细化的效果,对图中谱线作了归化处理。图2中fgme(a)为原始信号,fgme(c)6小结为基带FYT处理后的幅值谱线,fgre(d)为移频后ZFT算法的关键在于利用傅立叶变换的移频基带FFT处理后的幅值谱线。由此图可以看出,基特性将感兴趣的高频段频率移至频谱原点,降低采带FFT的几个谱峰叠加为一个谱峰,各频率成分不可分辨。图3中fge(g)为重新采样后F处理样率重新釆样,从而获取较高的频率分辨率。它对后的幅值谱线,gure(h)为频率调整到实际频率处于获得某些特殊频段而不是整个带宽的信号细微的幅值谱线。此图中,因频率分辨率降低了D倍谱结构十分有用。该算法在实际工程技术中有较zF的幅值谱线中5条谱线清晰可见,说明ZF广泛的应用效果明显。参考文獻5ZF运算量和局限性讨论[1]胡广书.数字信号处理-理论、算法与实现[M]北京:清华大学出版社,1997当采用时域抽取FFT算法时,N点DT的复数[2] Vinay K ingle, John g proakis.数字信号处理及其乘法次数为l2N,复数加法次数为NN。为MATLAB实现[M].北京:电子工业出版社,1998[3]赵霞,熊小伏,郭珂.用细化频谱技术分析断路器简单起见,仅比较两种算法的复数乘法次数。操动机构振动信号[J.电力系统自动化,2003,(12):37设频率分辨率4f=fN,细化倍数D=△/404」f。要获得4/的分辨率,基带FFT的运算量为[4]丁康,谢明,张彼德等.基于复解析带通滤波器的FrTdN)lo复调制细化谱分析原理和方法[J.振动工程学报,2001,62(D14(1):30~35采用ZF算法,在复调制时只计算重采样的[5]宗孔德.多抽样率信号处理[M].北京:清华大学点,需N次复数乘法。同样,调制系数的计算也需N出版社,19基于 MATLAB复调制Z00M-FT算法的分析和实现旧WANFANG DATA文献链接作者:王力,张冰,徐伟, Wang li, Zhang bing, Xu Wei作者单位:王力,张冰, Wang Li, Zhang bing(江苏科技大学,镇江,212003),徐伟, Xu Wei(船舶系统工程部,北京,100036)刊名:舰船电子工程英文刊名SHIP ELECTRONIC ENGINEERING年,卷(期)2006,26(4)被引用次数:次参考文献(5条)1.宗孔德多抽样率信号处理19962.丁康;谢明;张彼德基于复解析带通滤波器的复调制细化谱分析原理和方法[期刊论文]振动工程学报2001(013.赵霞;熊小伏;郭珂用细化频谱技术分析断路器操动机构振动信号[期刊论文]电力系统自动化2003(12)4.陈怀琛数字信号处理教程- MATLAB释义与实现19985.胡广书数字信号处理一理论、算法与实现1997本文读者也读过(6条江波.唐普英基于复调制的ZooⅷFFT算法在局部频谱细化中的研究与实现[期刊论文]-大众科技2010(7)2.丁康.谢明.张彼德.赵玲.张晓飞. Ding Kang. Xie ming. Zhang bide. Zhao ling. ZHANG Xiaofei基于复解析带通滤波器的复调制细化谱分析原理和方法[期刊论文]-振动工程学报2001,14(1)3.罗利春. LUo Lic- hun zoom-FFT的改进、频谱反演与时-频局部化特性[期刊论文]-电子学报2006,34(1)4.戴振华.纪海林.徐运涛.DAⅠZhen-hua. JI Hai-1in.ⅫUYun-taoZ00MFFT算法在数字音频分析仪中的实现[期刊论文]-兵工自动化2007,26(10)5.黄镔.许婧.高峰.束洪春Z0OM-FFT在水电机组振动信号分析中的应用[期刊论文]-昆明理工大学学报(理工版)2002,27(5)6.王卫江改进的自适应Zoom-FFT算法研究[期刊论文]一电子技术应用2006,32(7)证文献(10条1.程兆刚.唐力伟.张淑琴.曹洪娜基于复调制Z0OM-FFT算法下阻尼比识别的研究[期刊论文]计算机与数字工程2012(1)2.刘树强.罗天.王宁.潘栋基于 Labview的异步电机转子断条检测[期刊论文]电子设计工程2011(3)3.王文森.邱宏安高精度超声流量检测系统设计[期刊论文]电声技术2011(2)4刘树强.罗天.谭兴文基于 Labview的笼型异步电动机转子断条故障在线检测系统[期刊论文]西南大学学报:自然科学版2011(9)5.王乐.苏小敏.杜林.李春化复白噪声中复正弦波频率估计方法硏究[期刊论文]火控雷达技术2011(36.周红霞.江佩勤.伍洲基于嵌入式系统的ZFFT移频轨道检测算法[期刊论文]通信技术2010(37.焦玮琦.陈特放基于局部频谱细化的轨道移频信号高精度检测[期刊论文]机车电传动2009(28.史瑞根.姚金杰基于 Labview的数字变频FFT设计[期刊论文]现代电子技术2009(7)9武中奇.杨世武丌FT算法在铁路移频信号分析中的应用及其DSP实现[期刊论文]铁道通信信号2008(7)10.时献江.张春喜.邵俊鹏异步电机断条故障诊断的细化包络方法[期刊论文]电机与控制学报2008(2)本文链接http://d.g.wanfangdata.com.cn/periodicaljcdzgc200604033.aspx
- 2020-12-08下载
- 积分：1
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