Description: Carrier-phase synchronization can be approached in a
general manner by estimating the multiplicative distortion (MD) to which
a baseband received signal in an RF or coherent optical transmission
system is subjected. This paper presents a unified modeling and
estimation of the MD in finite-alphabet digital communication systems. A
simple form of MD is the camer phase exp GO) which has to be estimated
and compensated for in a coherent receiver. A more general case with
fading must, however, allow for amplitude as well as phase variations of
the MD.
We assume a state-variable model for the MD and generally obtain a
nonlinear estimation problem with additional randomly-varying system
parameters such as received signal power, frequency offset, and Doppler
spread. An extended Kalman filter is then applied as a near-optimal
solution to the adaptive MD and channel parameter estimation problem.
Examples are given to show the use and some advantages of this scheme. Platform: |
Size: 827601 |
Author:吴大亨 |
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Description: Carrier-phase synchronization can be approached in a
general manner by estimating the multiplicative distortion (MD) to which
a baseband received signal in an RF or coherent optical transmission
system is subjected. This paper presents a unified modeling and
estimation of the MD in finite-alphabet digital communication systems. A
simple form of MD is the camer phase exp GO) which has to be estimated
and compensated for in a coherent receiver. A more general case with
fading must, however, allow for amplitude as well as phase variations of
the MD.
We assume a state-variable model for the MD and generally obtain a
nonlinear estimation problem with additional randomly-varying system
parameters such as received signal power, frequency offset, and Doppler
spread. An extended Kalman filter is then applied as a near-optimal
solution to the adaptive MD and channel parameter estimation problem.
Examples are given to show the use and some advantages of this scheme. Platform: |
Size: 827392 |
Author:吴大亨 |
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Description: 卡尔曼滤波程序，两变量滤波；正弦信号跟踪；卡尔曼差分到状态方程的转换；卡尔曼同滑动平均比较-Kalman filtering process, the two variable filter sinusoidal signal tracking Kalman differential equation of state of the conversion Kalman compared with moving average Platform: |
Size: 5120 |
Author:姚赛金 |
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Description: 码估计立场和态度的航天器或飞机属于最安全的关键部分航班software.The基本数学复杂和丰富的设计细节使它容易出错的，可靠的实现是一个程序costly.AutoFilter合成工具自动生成状态估计代码紧凑specifications.It可以自动产生更多的安全证书，正式保证每个单独的程序满足了一套重要的安全policies.These安全政策（例如，数组越界，变量初始化）形成核心财产所必需的高保证software.Here我们描述了自动过滤系统及其证书发生器和比较我们的方法来静态分析工具PolySpace 。-Code to estimate position and attitude of a spacecraft or aircraft belongs to the most safety-critical parts of flight software.The complex underlying mathematics and abundance of design details make it error-prone and reliable implementations costly.AutoFilter is a program synthesis tool for the automatic generation of state estimation code from compact specifications.It can automatically produce additional safety certificates which formally guarantee that each generated program individually satisfies a set of important safety policies.These safety policies (eg.,array-bounds,variable initialization)form a core of properties which are essential for high-assurance software.Here we describe the auto Filter system and its certificate generator and compare our approach to the static analysis tool PolySpace. Platform: |
Size: 26624 |
Author:liying |
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Description: 结合了粒子滤波器和UKF滤波器的优点而用来估测一维状态变量的估测算法-A combination of particle filters and the advantages of the UKF filter is used to estimate the one-dimensional state variable of the estimation algorithm Platform: |
Size: 1024 |
Author:zhengjingjing |
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Description: 本程序提出了变步长自适应滤波算法的步长调整原则:即在初始收敛阶段或未知系统参数发生变化时,步长应比较大,以便有较快的收
敛速度和对时变系统的跟踪速度 而在算法收敛后,不管主输入端干扰信号v ( n) 有多大,都应保持很小的调整步长以达到很小的稳态失调噪声. 根据变步长公式编的程序，很有参考价值.
-This procedure, a variable step adaptive filter algorithm step adjustment principle: that in the initial convergence phase or unknown system parameters change, the steps should be relatively large in order to have fast convergence speed and time-varying systems tracking speed in convergence, no matter the main input interference signal v (n) how much should be adjusted to maintain a small step to achieve a small steady state misadjustment noise. compiled according to the formula variable step procedure useful reference. Platform: |
Size: 1024 |
Author:韩一广 |
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Description: 本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在
自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.-In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms. Platform: |
Size: 206848 |
Author:韩一广 |
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Description: To model the robot position we wish to know its x and y coordinates and its
orientation. These three parameters can be combined into a vector called a state
variable vector. The robot uses beacon distance and angle measurements and
locomotion information about how far it has walked to calculate its position. As with
any real system, these measurements include a component of error (or noise). If
trigonometry is used to calculate the robot s position it can have a large error and
can change significantly from frame to frame depending on the measurement at the
time. This makes the robot appear as if it is "jumping" around the field. The Kalman
Filter is a smarter way to integrate measurement data into an estimate by
recognising that measurements are noisy and that sometimes they should ignored
or have only a small effect on the state estimate. Platform: |
Size: 366592 |
Author:mohamed |
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Description: used to filter the latent state variable-this file is used to filter the latent state variable Platform: |
Size: 2048 |
Author:zhufumin |
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Description: I think this file can be used to filter the latent state variable-used to filter the latent state variable Platform: |
Size: 2048 |
Author:zhufumin |
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Description: this file can be used to filter the latent state variable-used to filter the latent state variable Platform: |
Size: 1024 |
Author:zhufumin |
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Description: 把无迹卡尔曼滤波应用在惯性导航系统的处理中~用于估计状态变量误差~-Unscented Kalman filter applications in the treatment of the inertial navigation system- used to estimate the state variable error ~~ Platform: |
Size: 122880 |
Author: |
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Description: 卡尔曼滤波以最小均方误差为最佳估计准则，采用信号与噪声的状态空间模型，利用前一时刻的估计值和当前时刻的观测值来更新对状态变量的估计，求出当前时刻的估计值，算法根据建立的系统方程和观测方程对需要处理的信号做出满足最小均方误差的估计-Kalman filter to minimize the mean square error criterion for the best estimates, using the state space model of signal and noise, using the estimation value of the previous time and the current time to update the observation of the state variable estimates obtained at the present time estimated value, the algorithm according to the system equation and the observation equation established for the signal to be processed to make estimates meet the minimum mean square error Platform: |
Size: 16384 |
Author:园园 |
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Description: 锂电池荷电状态(SOC)的精确估计一直是电池管理系统的核心任务之一。电流传感器中存在非零均值的电流漂移噪声,这些噪声会造成不可避免的估计误差。为减少电流漂移噪声对估算造成的不利影响,提出了联合扩展卡尔曼滤波法,以Thevenin模型为锂电池等效电路模型,将电流漂移值作为状态变量与电池SOC进行同步预测。实验和仿真结果表明,该方法能有效抑制电流漂移噪声,提高估算精度。(The accurate estimation of the charge state (SOC) of lithium battery has always been one of the core tasks of battery management system. There are nonzero mean current drift noises in current sensors, which cause unavoidable estimation errors. In order to reduce the adverse effect of current drift noise on the estimation, a joint extended Calman filter method is proposed. The Thevenin model is used as the equivalent circuit model of lithium battery, and the current drift value is used as the state variable to predict the battery SOC synchronously. Experimental and simulation results show that the proposed method can effectively suppress current drift noise and improve estimation accuracy.) Platform: |
Size: 4096 |
Author:西卡 |
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Description: 《信号与系统》是高等教育出版社出版的普通高等教育“九五” 国家级重点教材，编者为清华大学电子工程系教授郑君里。《信号与系统(上)》的主要内容包括包括绪论、连续系统时域分析、傅里叶变换、拉普拉斯变换、滤波、调制与抽样、信号的矢量空间分析。《信号与系统(下)》的主要内容包括离散系统的时域分析、Z变换、离散傅里叶变换、模拟与数字滤波器、反馈系统、状态变量分析等。(Signals and systems is a national key textbook for general higher education published by higher education press, edited by Zheng Junli, Professor of Electronic Engineering Department of Tsinghua University. The main contents of "signals and systems (1)" include introduction, time domain analysis of continuous systems, Fourier transform, Laplace transform, filtering, modulation and sampling, vector space analysis of signals. The main contents of "signals and systems (2)" include time domain analysis, Z-transform, discrete Fourier transform, analog and digital filter, feedback system, state variable analysis, etc.) Platform: |
Size: 14670848 |
Author:别碰我的西瓜 |
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Description: 《信号与系统》是高等教育出版社出版的普通高等教育“九五” 国家级重点教材，编者为清华大学电子工程系教授郑君里。《信号与系统(下)》的主要内容包括离散系统的时域分析、Z变换、离散傅里叶变换、模拟与数字滤波器、反馈系统、状态变量分析等。(Signals and systems is a national key textbook for general higher education published by higher education press, edited by Zheng Junli, Professor of Electronic Engineering Department of Tsinghua University. The main contents of signal and system (2) include discrete system time domain analysis, Z transform, discrete Fourier transform, analog and digital filter, feedback system, state variable analysis and so on.) Platform: |
Size: 12191744 |
Author:别碰我的西瓜 |
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Search - state variable filter