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Description: We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation,
phase-shift keying, and pulse amplitude modulation
communications systems.We study the performance of a standard
CFO estimate, which consists of first raising the received signal to
the Mth power, where M is an integer depending on the type and
size of the symbol constellation, and then applying the nonlinear
least squares (NLLS) estimation approach. At low signal-to noise
ratio (SNR), the NLLS method fails to provide an accurate CFO
estimate because of the presence of outliers. In this letter, we derive
an approximate closed-form expression for the outlier probability.
This enables us to predict the mean-square error (MSE) on CFO
estimation for all SNR values. For a given SNR, the new results
also give insight into the minimum number of samples required in
the CFO estimation procedure, in order to ensure that the MSE
on estimation is not significantly affected by the outliers.
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Size: 1265450 |
Author: 吴大亨 |
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Description: We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation,
phase-shift keying, and pulse amplitude modulation
communications systems.We study the performance of a standard
CFO estimate, which consists of first raising the received signal to
the Mth power, where M is an integer depending on the type and
size of the symbol constellation, and then applying the nonlinear
least squares (NLLS) estimation approach. At low signal-to noise
ratio (SNR), the NLLS method fails to provide an accurate CFO
estimate because of the presence of outliers. In this letter, we derive
an approximate closed-form expression for the outlier probability.
This enables us to predict the mean-square error (MSE) on CFO
estimation for all SNR values. For a given SNR, the new results
also give insight into the minimum number of samples required in
the CFO estimation procedure, in order to ensure that the MSE
on estimation is not significantly affected by the outliers.
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Size: 1265664 |
Author: 吴大亨 |
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Description: OFDM高功率放大器.供学习matlab的同学交流学习
-The Matlab code investigates the harmful effects of high power amplifier on ofdm signals. It is imagined that the amplifier destroy the amplitude of the transmitted signal due to saturation and has no effect on the signal phase. The model is acceptable for solid state amplifier to some extend.
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Size: 2048 |
Author: 天天 |
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Description: I need estimation channel MIMO-OFDM because I do synchronous CFO and SFO by tracking algorithm Obelix-I need estimation channel MIMO-OFDM because I do synchronous CFO and SFO by tracking algorithm Obelix
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Size: 10240 |
Author: bachka |
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Description: simple CFO estimation in mimo ofdm
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Size: 1024 |
Author: murali |
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Description: 非线性最小二乘法Matlab实现
f=x(1)*K^x(2)*L^x(3)-b
Cobb-Douglas生产函数-Matlab nonlinear least square method to achieve f = x (1)* K ^ x (2)* L ^ x (3)-b Cobb-Douglas production function
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Size: 1024 |
Author: chester |
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Description: In this paper, we investigate the timing and carrier
frequency offset (CFO) synchronization problem in decode and
forward cooperative systems operating over frequency selective
channels. A training sequence which consists of one orthogonal
frequency-division multiplexing (OFDM) block having a tile
structure in the frequency domain is proposed to perform synchronization.
Timing offsets are estimated using correlation-type
algorithms. By inserting some null subcarriers in the proposed tile
structure, we propose a computationally efficient subspace decomposition-
based algorithm for CFO estimation. The issue of optimal
tile length is studied both theoretically and through simulations.
By judiciously designing the tile size of the pilot, the proposed
algorithms are shown to have better performance, in terms of
synchronization errors and bit error rate, than the time-division
multiplexing-based training method and the computationally demanding
space-alternating generalized expectation-maximization
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Size: 985088 |
Author: ashish |
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Description: In this paper, we investigate the timing and carrier
frequency offset (CFO) synchronization problem in decode and
forward cooperative systems operating over frequency selective
channels. A training sequence which consists of one orthogonal
frequency-division multiplexing (OFDM) block having a tile
structure in the frequency domain is proposed to perform synchronization.
Timing offsets are estimated using correlation-type
algorithms. By inserting some null subcarriers in the proposed tile
structure, we propose a computationally efficient subspace decomposition-
based algorithm for CFO estimation. The issue of optimal
tile length is studied both theoretically and through simulations.
By judiciously designing the tile size of the pilot, the proposed
algorithms are shown to have better performance, in terms of
synchronization errors and bit error rate, than the time-division
multiplexing-based training method and the computationally demanding
space-alternating generalized expectation-maximization
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Size: 728064 |
Author: ashish |
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Description: 基本OFDM訊號在IEEE 802.11a架構下利用pilot估測CFO整數ML估測小數和pilot估測剩餘CFO的原始碼-IEEE 802.11a OFDM signal in the basic framework of integer CFO estimation using pilot and pilot ML estimate fractional CFO estimation of the remaining source code
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Size: 2048 |
Author: 范夢葳 |
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Description: 基于OFDM信道冲击响应和信道估计的matlaB仿真代码。值得借鉴！-Based on OFDM channel impulse response and channel estimation matlaB simulation code. Worth learning!
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Size: 1024 |
Author: 刘高星 |
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Description: MIMO OFDM 技术将成为第4 代移动通信系统的关键技术, 因MIMO OFDM 对时间和频率偏移非常敏感,
因此MIMO OFDM 同步显得尤为重要。提出了一种新的MIMO OFDM 定时同步和频偏同步技术。以GCL 序列为基础设
计了一个新的符合MIMO OFDM 同步技术的导频序列, 通过对该导频序列进行2 次相关得到频率估计, 并将所得频率
运用到定时同步中, 得到更为准确的时间估计。仿真结果表明, 在相同的信噪比情况下, 该方法可以使得系统的误码
率和帧传送误码率相对传统方法得到进一步减小。-MIMO OFDM will become a key technology of the fourth generation mobile communications system. However, MIMO OFDM is
sensitive to the CFO and timing synchronization, so the MIMO OFDM synchronization technology is very important. This paper proposes an
accurate technique for timing and frequency synchronization of multiple input multiple output ( MIMO ) orthogonal frequency division
multiplexing ( OFDM) systems. The technique derives a new preamble signal based on GCL sequences, according with the MIMJO OFDM
synchronization. The carrier frequency offset ( CFO) estimation is obtained through taking double correlation operations on the preamble signal,
and used in the timing synchronization to gain accurate time estimation. The simulation results show that at the same SNR, the proposed method
can reduce the BER and the frame transmission BER of the system compared to the conventional method.
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Size: 408576 |
Author: 蜡笔 |
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Description: OFDM CFO estimation in AWGN
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Size: 1024 |
Author: mohammed |
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Description: ofdm cfo estimation in awgn cha
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Size: 2048 |
Author: mohammed |
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Description: 一种关于MIMO-OFDM系统盲频率同步的资料文档，用MATLAB进行仿真分析-A novel blind carrier frequency offset (CFO)
estimation algorithm was proposed which is based on estimating
signal parameter via rotational invariance techniques (ESPRIT)
for multi-input multi-output orthogonal frequency division
multiplexing (MIMO-OFDM) systems with virtual carriers.
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Size: 402432 |
Author: 李真 |
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Description: 3GPP-LTE下频偏估计算法的研究，包含了三种算法。基于PSS的算法，基于CP的算法和基于MUSIC的算法-An efficient CFO estimation algorithm for the downlink of 3GPP-LTE
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Size: 514048 |
Author: 谈 |
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Description: 通信系统中接收机采用训练序列进行CFO估计的MATLAB仿真程序-The receiver uses the training sequence in the communication system CFO estimation MATLAB simulation program
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Size: 2048 |
Author: 吕丹丹 |
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Description: 这是基于MIMO-OFDM的对CFO进行估计的源程序，对分析此同步算法有着非常重要的作用。-This is based on the source of the MIMO-OFDM of the CFO estimation, on the analysis of this synchronization algorithm has a very important role.
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Size: 58368 |
Author: 郭定平 |
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Description: 本论文中，一个混合载波频率偏移估计方案用于基于通用滤波多载波的系统。 此方案所述CFO估计器基于最小平方（LS）准则首先导出以获得粗略频率偏移估计使用大频率搜索步骤。 接着，通过其精确估计残留频率偏移自相关操作补偿。 该算法具有较大估计的特点范围以及更高的估计精度。-In this letter, a robust hybrid carrier frequency offset
(CFO) estimation scheme based on training symbols is devised
for universal-filtered multi-carrier (UFMC) based systems. In this
scheme, the CFO estimator based on a least square (LS) criterion
is firstly derived to acquire a coarse frequency offset estimation
with the use of a large frequency searching step. And then,
the residual frequency offset is accurately estimated through the
auto-correlation operation of received signals which have been
compensated. This algorithm has the features of larger estimation
range as well as higher estimation precision.
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Size: 390144 |
Author: Lay |
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Description: CFO estimation mat lab file
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Size: 1024 |
Author: dawadi
|
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Description: To EStimate and Compensate CFO Algorithm
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Size: 8192 |
Author: loga1994 |
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