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双语推荐:失调误差

闭环注入式仿真是开展红外成像制导武器对抗及其复杂环境适应性试验的一种有效手段,它在传感器被图像仿真计算机和图像注入接口设备取代的情况下,采集导引头的框架角数据,实时仿真生成红外数字图像,并通过注入接口设备直接注入到导引头信息处理电路中进行试验。分析了闭环注入式仿真试验的工作原理,设计了仿真试验系统的软硬件平台、工作时序,理论计算了仿真试验系统产生的失调角延时和失调误差,并利用搭建的仿真试验与导引头实际工作一致性分析平台,分析了因失调角延时和失调误差导致导引头输出的偏航、俯仰角速度误差和制导精度误差。仿真结果表明:仿真试验与导引头实际工作条件是一致性的,设计的仿真试验系统较为科学合理,该结论可为开展红外成像导引头闭环注入式仿真试验提供理论支撑。
Closed-loop simulation based on digital image injection is an effective testing means of IR imaging guidance weapon countermeasure and complicated environment adaptability, it collects frame angle of seeker and real-time simulates to generate IR image when the detector of IR seeker is replaced by image simulation computer and injection device, the image is injected by injection device. The principle of closed-loop simulation test were analyzed, software, hardware platform and work scheduling of simulation test system were designed, miss distance time delay and miss distance error were calculated, consistency analysis platform of simulation test and actual work was built, yaw and pitching angle velocity error and homing precision were analyzed by miss distance time delay and miss distance error. The result shows that the condition of simulation test and actual work of seeker was consistent, simulation test system was scientific. The research results provide theoretical support
在径向基函数(RBF)神经网络实现无人机复合材料超声检测脱粘缺陷识别时,针对最小均方(LMS)算法在确定网络输出权值时存在稳态失调误差和收敛速度相矛盾的问题,提出一种改进的自适应的变步长LMS算法.该算法根据反馈误差自适应确定步长,通过引进动量项加快收敛速度.将改进LMS算法应用到RBF网络缺陷识别中,结果表明该方法在稳态失调误差较小的情况下,能快速确定RBF网络的权值.改进的RBF网络能够较好地识别超声检测脱粘缺陷.
To solve the problem of contradiction between steady state error and convergence speedwhen choosing the weight within the least mean square(LMS)algorithm,an improved variablestep-size adaptive LMS algorithm is proposed,recognizing the flaw in the composite materialsfor unmanned aerial systems using radial basis function(RBF)neural network with ultrasonic tes-ting.The algorithm first decides the step size adaptively depending on the error,then adds the mo-mentum project to have a better convergence speed.The experimental results show that the newalgorithm can decide the RBF network weight more quickly within low steady state error and theimproved RBF network can classify the flaws better.
提出了一种新颖的数模转换器(DAC)静态参数内建自测试(BIST)方法。该方法采用斜坡信号发生器和两个参考电压作为标准信号源和误差极限电压,测试DAC的四个主要的静态参数:失调误差(offset),增益误差(gain error),积分非线性误差(INL )和微分非线性误差(DNL ),有效地节省了参考源的数目。静态参数计算的优化以及测试器件的共享使得BIST电路所占芯片面积大大减小。仿真结果表明该方法是一种简单的测试DAC静态误差的内建自测试结构。
A new BIST (Built-In Self-Test) method to test static parameters of a DAC (Digital to Analog Converter) is proposed in this paper .The BIST method employs a ramp generator and two voltage references to test static parameters of a DAC :offset error ,gain error ,INL ( Integral Non-Linearity ) and DNL ( Differential Non-Linearity ) .The optimization of calculating static parameters and the components sharing can reduce the BIST circuitry .The simulation result shows that the method is able to detect the static errors with the simple BIST structure .

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提出了一种基于伪随机补偿技术的流水线模数转换器(ADC)子级电路.该子级电路能够对比较器失调和电容失配误差进行实时动态补偿.误差补偿采用伪随机序列控制比较器阵列中参考比较电压的方式实现.比较器的高低位被随机分配,以消除各比较器固有失调对量化精度的影响,同时子ADC输出的温度计码具有伪随机特性,可进一步消除MDAC电容失配误差对余量输出的影响.基于该子级电路设计了一种12位250 MS/s流水线ADC,电路采用0.18μm 1P5M 1.8 V CMOS工艺实现,面积为2.5 mm^2.测试结果表明,该ADC在全速采样条件下对20 MHz输入信号的信噪比(SNR)为69.92 dB,无杂散动态范围(SFDR)为81.17 dB,积分非线性误差(INL)为-0.4~+0.65 LSB,微分非线性误差(DNL)为-0.2~+0.15 LSB,功耗为320 mW.
A sub-stage circuit with pseudorandom sequences compensation for pipelined ADC (ana-log to digital converter)is presented.Comparator offset and capacitor mismatch error can be com-pensated dynamically in the sub-stage circuit.Compensation is achieved by controlling the reference voltages in sub-ADC using pseudorandom sequences.MSBs (most significant bits)and LSBs (least significant bits)of comparators are assigned randomly;accordingly,the influence of the offset of comparators on ADC quantization is eliminated.Pseudo-random thermometer code from the sub-ADC cancels the effect of the mismatches of MDAC (multiple digital to analog converter)capacitors on residue output.A 12-bit 250 MS/s pipelined ADC based on the proposed sub-stage circuit is pres-ented.This ADC is implemented in 0.18 μm 1P5M 1.8 V CMOS (complementary metal oxide semiconductor)process,with a die area of 2 .5 mm2 .Test results show that the ADC achieves an SNR(signal to noise ratio)of 69.92 dB,an SFDR(spurious-
利用行为均衡汇率理论模型对人民币汇率水平进行研究,建立了基于非抵补利率平价理论的行为均衡汇率模型,实证分析了1997~2013年人民币汇率的均衡汇率水平和失调程度;建立误差修正模型分析各变量对于人民币汇率水平的短期影响和人民币汇率系统自身的误差。分析表明:1997年1季度~2013年4季度,人民币实际汇率水平在均衡汇率水平附近波动的幅度不超过±2%。2010年至今,人民币汇率失调程度一直低于±1%,基本达到均衡水平。基于研究结论提出政策建议:一是合理利用政府支出的消费方向调节汇率水平;二是进一步规范与完善资本市场;三是逐步提升汇率的自我修正机制;四是加快推进中国经济转型。
This paper employs the behavioral equilibrium exchange rate model to estimate the equilibrium real exchange rate of RMB and the exchange rate misalignment in China during 1997 to 2013.With Error-Correction Model, we analyze the short-term impacts of each variable on RMB real effective exchange rate.The result shows that RMB real exchange rate’ fluctuation amplitude did not exceed ±2%during the sample period.And the mis-alignment was less than 1%from 2010, this outcome indicates that RMB exchange rate almost reach the equilibri-um level.Based on the research conclusions, four proposals were put forward:rational use the direction of govern-ment’ s consumption as a method to adjust exchange rate; further rationalizing and improve the capital market;gradually increase the self-correcting mechanisms of RMB exchange rate;proceed the economic transformation of China.
利用微机电重力加速度计实现倾斜角测量,阐述了其基本工作原理及重要指标参数,增量灵敏度对输出倾斜角分辨率的决定性。使用Matlab分析了影响输出测量结果的误差,如0g偏置和灵敏度失配,及其影响程度,提出基本的校准方法;还分析了温度漂移对前两者失调造成的测量误差。通过基本校准,本文所设计的系统测量精度达0.1o。
Tilt angle measuring is implemented with microelectromechanical accelerometer. The basic principles of tilt-angle measuring and the important index that incremental sensitivity determines the output tilt-angle accuracy is discussed. The measuring error such as zero-g offset and sensitivity mismatch is analyzed by Matlab. To decrease the error,two basic methods of calibration is given. In addition,the measuring error due to temperature shift is analyzed. The resolution of the designed system is up to 0.1°within the basic method of calibration.
基于调制盘的红外制导导弹严重威胁战机的生存,需要开展机载红外对抗技术研究以保护战机的自身安全。以旭日升型调幅式调制盘为例,介绍了调制盘的工作原理,分析了中波红外激光干扰调制盘的机理,使用MATLAB模拟了不同幅度、频率、相位的调制脉冲信号对调制盘系统的干扰情况。结果表明:干扰光强度与目标辐射强度之比从1提高到10时,方位角误差由3.6毅变为14.4毅,失调误差由2.4毅变为10.8毅。当干扰信号角频率与调制盘载波频率接近时,方位角误差变为151.2毅,失调误差变为28.4毅。单纯增加干扰光的强度对实现干扰贡献不大,会增加调制盘系统接收信号的强度,易暴露目标。幅值缓变的干扰信号虽然能使调制盘导引头的接收信号出现偏差,但不会让目标完全摆脱导弹跟踪,而角频率接近载波频率的干扰信号会使导引头接收不到准确信号,最终实现干扰。
The threat of the IR guidance missile is a direct consequence of extensive proliferation of the airborne IR countermeasure. According to the operation of the amplitude modulation reticle system, the principle of the laser disturbance on modulation reticle was analyzed and the numerical simulation used MATLAB based on a rising-sun reticle was done. When the ratio of jamming energy to target radiation increased from 1 to 10, the azimuth error changed from3.6o to 14.4oand the misalignment angle error changed from 2.4o to 10.8o. When the jamming angular frequency was equal to the carrier frequency, the azimuth error was 151.2oand the misalignment angle error was 28.4o. The results show that simply increasing the intensity of the jamming light achieves little. It will increase the received signal strength of the amplitude modulation reticle system and the target will be more easily exposed. A slow variation of the amplitude will warp the azimuth information received by the seeker, but the t

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通过平滑梯度矢量减小梯度估计误差,采用平滑梯度矢量的欧氏范数和误差信号的分数低阶矩更新步长因子,对一阶和二阶权系数采取分阶迭代更新,得到一种在α稳定分布噪声背景下变步长Volterra自适应滤波算法,分析证明了该算法的收敛性能。非线性系统辨识的仿真结果表明,算法较DOVLMP算法具有更快的收敛速度和更小的稳态失调
The estimate error is effectively reduced by smoothing gradient vector. The step factor is also updated by the Euclidean norm of the smoothed gradient vector and the fractional lower order moment of the error signal. The first-order and second-order weight coefficients are iteratively updated respectively. So a variable step-size adaptive algorithm for Volterra filter with the background of α-stable distribution noise is presented. The convergence performance of this algo-rithm is also analyzed and proved. Simulations results of a nonlinear system identification showed that the presented algo-rithm has faster convergence speed and smaller steady-state mis-adjustment than DOVLMP algorithm.

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窄带主动噪声控制(ANC )系统中往往存在频率失调(FM )问题,传统的频率失调补偿(FMC )系统能应对一定程度的FM,但当噪声信号非平稳或失调量较大时,系统将无法工作。针对此问题,本文提出一种带有频率估计的窄带ANC系统新结构,其采用声学和非声学两路传感器获取参考信号,引入可变极半径及平滑下降(PG )算法构建IIR陷波器,完成参考信号的频率估计,通过一阶FIR滤波器实现幅值和相位的调节。仿真表明,在保证合理的稳态误差情况下,与传统的FMC系统相比,新系统能够应对较大的FM ,且具有良好的收敛和追踪性能。
Since the narrowband active noise control (ANC) system always gives rise to frequency mismatch (FM) ,the tra-ditional frequency mismatch compensation (FMC ) technique can cope with small FM ,but is unable to deal with non-stationary noise signals or large FM .In order to solve the above problem ,a new ANC structure with a frequency estimator is first introduced ,whose inputs are measured by both the acoustic and non-acoustic sensors .The IIR notch filter based on plain gradient (PG ) algorithm is employed as the frequency estimator ,and the adjustment of amplitude and phase of secondary source is achieved by a first-order FIR filter updated by filtered-x LMS (FXLMS) or RLS (FXRLS) algorithm .Simulations indicated that the new system ,in the condition of ensuring reasonable steady-state error ,compared with the traditional FMC system ,could effectively handle larger FM and revealed fine convergence and tracking performance .
为了提高现有的变步长LMS算法在低信噪比环境下的滤波性能,提出了一种新的变步长LMS自适应滤波算法。该算法利用加入补偿项的误差相关值估计与前一时刻步长因子的组合来调节步长,提高算法的抗噪声干扰能力和收敛速度;并将步长因子的传统固定约束范围改为动态约束范围,使步长变化趋于平滑,降低系统的失调误差;同时对系统的权向量迭代公式进行更新,提高了算法的输入范围。从理论分析和仿真实验两方面可以看出,新算法与现有的变步长算法及标准LMS算法相比,在信噪比较低的条件下收敛速率、抗扰能力、稳态失调噪声方面都有很大的改善,证明所提算法是有效、可行的。
In order to improve the existing variable step size of filtering performance in low SNR environment, the paper puts forward a new variable step size LMS adaptive filtering algorithm. The algorithm combines the relative value estimation error that is added the compensation term and the former pace to regulate the step size,which can improve the capability of resisting noise and convergence speed. It replaces the fixed step size range restriction by dynamic change restriction, which makes the step change tends to be smoother and reduces system offset errors. Iterative formula of the weight vector is updated at the same time so as to improve the input range of the algorithm. Both from the theoretical analysis and computer simulation we can see that the new algorithm has greatly improve compared with existing variable step size algorithms and the standard LMS algorithm,in the case of low SNR convergence rate,noise immunity,steady-state offset noise,it proves that the proposed algorithm is

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