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: INTER-CARRIER INTERFERENCE CANCELLATION FOR OFDM SYSTEMS:
Orthogonal Frequency Division Multiplexing (OFDM) is an emerging multi-carrier modulation scheme, which has been adopted for several wireless standards such as IEEE 802.11a and HiperLAN2. A well-known problem of OFDM is its sensitivity to frequency offset between the transmitted and received carrier frequencies. This frequency offset introduces inter-carrier interference (ICI) in the OFDM symbol. This project investigates three methods for combating the effects of ICI: ICI self-cancellation (SC), maximum likelihood (ML) estimation, and extended Kalman filter (EKF) method. These three methods are compared in terms of bit error rate performance, bandwidth efficiency, and computational complexity. Through simulations, it is shown that the three techniques are effective in mitigating the effects of ICI. For high values of the frequency offset and for higher order modulation schemes, the ML and EKF methods perform better than the SC method. Platform: |
Size: 390144 |
Author:redami |
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Description: 使用卡尔曼滤波器对信号进行滤波，不局限于工频干扰的频率，简单方便-Kalman filter using the signal filtering, frequency interference is not limited to frequency, simple Platform: |
Size: 1024 |
Author:周俊鸿 |
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Description: Kalman filter, 2n_2n kalman filter which use for separate harmonic frequency in a continuous signal which include noise.-Kalman filter, 2n_2n kalman filter which use for separate harmonic frequency in a continuous signal which include noise. Platform: |
Size: 1024 |
Author:reza |
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Description: 产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析：
（1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形；
（2） 利用不同的参数建模方法求出两个随机信号的功率谱；
（3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较；
（4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计；
（5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理；
（6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？
（7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计；
（8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。
-Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals:
(1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics
(2) make use of different parameters modeling method for out two random signal power spectrum
(3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the
(4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate
(5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment
(6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the Platform: |
Size: 6144 |
Author:李思青 |
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Description: 频域的卡尔曼滤波器，这个比较有意思，有兴趣的朋友可以看看，是一篇论文-THE EXTENDED KALMAN FILTER IN THE FREQUENCY DOMAIN FOR THE IDENTIFICATION OF MECHANICAL STRUCTURES EXCITED BY SINUSOIDAL MULTIPLE INPUTS Platform: |
Size: 175104 |
Author:ywauto |
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Description: 用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this implementation, we considered two time series with different frequencies. The messages between high and low frequency signals are combined to improve the estimation and prediction. Platform: |
Size: 311296 |
Author:林真天 |
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Description: This paper presents an adaptive information fusion method to improve the
accuracy and reliability of the altitude measurement information for small unmanned aerial
rotorcraft during the landing process. Focusing on the low measurement performance of
sensors mounted on small unmanned aerial rotorcraft, a wavelet filter is applied as a
pre-filter to attenuate the high frequency noises in the sensor output. Furthermore, to
improve altitude information, an adaptive extended Kalman filter based on a maximum a
posteriori criterion is proposed to estimate measurement noise covariance matrix in real
time. Finally, the effectiveness of the proposed method is proved by static tests, hovering
flight and autonomous landing flight tests. Platform: |
Size: 388096 |
Author:Clovis |
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Description: 很好的GPS/INS超紧组合导航的文章，关键词：GPS,INS，超紧组合导航，抗干扰-The performance of an Ultra-Tightly Coupled
(UTC) Global Positioning System/Inertial Navigation System
(GPS/INS) is evaluated using a system simulation of the GPS
receiver and navigation processing. The UTC system being
analyzed uses a bank of pre-filters to estimate code delay error
and Doppler frequency error for each satellite. These outputs are
sent to a central Kalman navigation filter. This central processor
generates estimates of inertial navigation position, velocity, and
attitude errors IMU biases and user clock errors, which are
used to correct the navigation solution. In the UTC approach,
outputs from the central navigation processor, after projection
into satellite line-of-sight coordinates, are used to control the
code and carrier replica signals for each satellite channel. In
contrast, a conventional tightly coupled GPS/INS system uses
separate tracking loops for each satellite channel, which operate
autonomously. As a result, the UTC desig Platform: |
Size: 461824 |
Author:lili |
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Description: 用matlab模拟的kalman的低通滤波器，附带代码说明
某系统接收端接收到的信号为
y=4*cos(2*pi*310*t)+2*sin(2*pi*40*t)
(G) 发现此信号夹杂了一个正弦噪声noise= 4*cos(2*pi*310*t)，
请设计一个带阻滤波器将此噪声滤除，从而恢复原信号。
要求：
（1）请写出具体的MATLAB程序，并详细解释每条程序
（2）画出滤波前后信号的频谱图
（3）画出所设计滤波器的幅频和相频特性图，并写出具体参数-Low-pass filter with kalman matlab simulation, with code shows the signal received by the receiving end of a system y = 4* cos (2* pi* 310* t)+2* sin (2* pi* 40* t ) (G) was found in this sinusoidal noise signal is mixed with a noise = 4* cos (2* pi* 310* t), Please design a bandstop filter to filter this noise, thereby restoring the original signal. Requirements: (1) Please write specific MATLAB program, and explain in detail each program (2) Draw the spectrum before and after filtering the signal (3) filter is designed to draw the amplitude and phase frequency characteristics map and write specific parameters Platform: |
Size: 574464 |
Author:lbx |
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Description: 利用加速度信号测量位移是油田抽油井光杆位移测量的主要方法 而加速度信号的随机噪声和趋势项是影响
测量精度的主要因素 本文提出了一种基于学习的实时消噪和剔除趋势项方法 学习时先获取一段时间的加速度信
号 再通过时间序列分析技术得出 ARIMA 模型及其参数 最后基于 FFT 变换的 Rife-Jane 频率估计方法求出加速度
信号的周期 在线实时消噪和剔除趋势项方法是基于学习阶段所得模型参数 运用卡尔曼滤波技术消除加速度信号
随机噪声 按周期两次积分得到光杆位移 用加窗递推最小二乘法在线消除趋势项 通过抽油机半实物仿真平台测试
和分析加速度信号 结果表明 该方法有效地去除了加速度信号中的噪声和趋势项 极大地提高了位移的测量精度-Acceleration signal based approach is a main approach used to measure the displacement of polish rod in the
oilfield pumping wells. In this study a learning based real time noise immunization and trend term elimination approach is
proposed. During the learning acceleration signal within a period of time are firstly acquired then corresponding ARIMA
model and its parameters are derived finally the period of the acceleration signal is computed by using FFT transformation
and Rife Jane frequency estimation. The proposed approach bases the model obtained parameters uses Kalman filtering
techniques to remove random noise computes the polish rod displacement by a quadratic integration of the period and
eliminates the trend term by windowed recursive least squares method. Eventually an experiment over a pumping unit
hardware in the loop plant is carried out which indicates that the proposed approach can effectively eliminate noise and trend
term and obviously improve the measuring pre Platform: |
Size: 1443840 |
Author:lantian |
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Description: In a rapidly fading environment in high data rate wireless communication systems the orthogonality of OFDM sub carrier signals destroyed and this phenomenon potentially results in Inter carrier interference (ICI).The novel contribution of the paper is that, the effects of ICI have been analyzed and solutions to ICI diminution have been presented in different frequency offset values such as 0.5,0.15 and 0.30 . The first method is a self-cancellation scheme, in which redundant data is transmitted onto adjacent subcarriers such that the ICI between adjacent sub carriers cancels out at the receiver. The other technique the Extended Kalman Filter (EKF) method statistically estimate the frequency offset and correct the offset using the estimated value at the receiver-In a rapidly fading environment in high data rate wireless communication systems the orthogonality of OFDM sub carrier signals destroyed and this phenomenon potentially results in Inter carrier interference (ICI).The novel contribution of the paper is that, the effects of ICI have been analyzed and solutions to ICI diminution have been presented in different frequency offset values such as 0.5,0.15 and 0.30 . The first method is a self-cancellation scheme, in which redundant data is transmitted onto adjacent subcarriers such that the ICI between adjacent sub carriers cancels out at the receiver. The other technique the Extended Kalman Filter (EKF) method statistically estimate the frequency offset and correct the offset using the estimated value at the receiver Platform: |
Size: 211968 |
Author:Fardeen |
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Description: 是一种双隐层反向传播神经网络，各种kalman滤波器的设计，仿真效果非常好，线性调频脉冲压缩的Matlab程序,FMCW调频连续波雷达的测距测角，Relief计算分类权重。- Is a two hidden layer back propagation neural network, Various kalman filter design, Simulation of the effect is very good, LFM pulse compression of the Matlab program, FMCW frequency modulated continuous wave radar range and angular measurements, Relief computing classification weight. Platform: |
Size: 9216 |
Author:apkxgt |
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Description: 仿真效率很高的，各种kalman滤波器的设计，是本科毕设的题目，包括回归分析和概率统计，可以得到很精确的幅值、频率、相位估计，粒子图像分割及匹配均为自行编制的子例程。- High simulation efficiency, Various kalman filter design, The title of the commercial is undergraduate course you Including regression analysis and probability and statistics, You can get a very accurate amplitude, frequency, phase estimation, Particle image segmentation and matching subroutines themselves are prepared. Platform: |
Size: 4096 |
Author:umggef |
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Description: 相控阵天线的方向图（切比雪夫加权），本程序的性能已经超过其他算法，可以得到很精确的幅值、频率、相位估计，数据模型归一化，模态振动，计算多重分形非趋势波动分析，各种kalman滤波器的设计。-Phased array antenna pattern (Chebyshev weights), This program has exceeded the performance of other algorithms, You can get a very accurate amplitude, frequency, phase estimation, Normalized data model, modal vibration, Calculate the multifractal trend fluctuation analysis, Various kalman filter design. Platform: |
Size: 5120 |
Author:yzuucz |
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Search - frequency kalman