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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.
Platform: |
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.
Platform: |
Size: 1265664 |
Author: 吴大亨 |
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Description: carrier frequency offset CFO模擬-carrier frequency offset CFO simulation
Platform: |
Size: 6144 |
Author: leolin |
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Description: 基本OFDM訊號在IEEE 802.11a架構下利用pilot估測CFO的原始碼-IEEE 802.11a OFDM signal in the basic framework used to estimate the CFO pilot source
Platform: |
Size: 1024 |
Author: 范夢葳 |
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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
Platform: |
Size: 2048 |
Author: 范夢葳 |
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Description: Abstract—In this paper, we study the joint estimation of inphase
and quadrature-phase (I/Q) imbalance, carrier frequency
offset (CFO), and channel response for multiple-input multipleoutput
(MIMO) orthogonal frequency division multiplexing
(OFDM) systems using training sequences. A new concept called
channel residual energy (CRE) is introduced. We show that by
minimizing the CRE, we can jointly estimate the I/Q imbalance
and CFO without knowing the channel response. The proposed
method needs only one OFDM block for training and the training
symbols can be arbitrary. Moreover when the training block
consists of two repeated sequences, a low complexity two-step
approach is proposed to solve the joint estimation problem.
Simulation results show that the mean-squared error (MSE) of
the proposed method is close to the Cramer-Rao bound (CRB).
Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel
estimation.
Platform: |
Size: 551936 |
Author: santhu |
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Description: Abstract—In this paper, we study the joint estimation of inphase
and quadrature-phase (I/Q) imbalance, carrier frequency
offset (CFO), and channel response for multiple-input multipleoutput
(MIMO) orthogonal frequency division multiplexing
(OFDM) systems using training sequences. A new concept called
channel residual energy (CRE) is introduced. We show that by
minimizing the CRE, we can jointly estimate the I/Q imbalance
and CFO without knowing the channel response. The proposed
method needs only one OFDM block for training and the training
symbols can be arbitrary. Moreover when the training block
consists of two repeated sequences, a low complexity two-step
approach is proposed to solve the joint estimation problem.
Simulation results show that the mean-squared error (MSE) of
the proposed method is close to the Cramer-Rao bound (CRB).
Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel
estimation.
Platform: |
Size: 277504 |
Author: santhu |
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Description: CFO的估计，对基于CP的CFO，Moose,Classen方法的MSE进行比较分析-CFO estimate, based on the MSE CP CFO, Moose, Classen method of comparative analysis
Platform: |
Size: 3072 |
Author: 杨佩佩 |
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Description: 基于OFDM系统，实现classen,Moose提出的频偏估计技术，(Frequency offset estimation technique proposed by Classen and Moose based on OFDM sys)
Platform: |
Size: 26624 |
Author: 通信小白
|
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Description: To EStimate and Compensate CFO Algorithm
Platform: |
Size: 8192 |
Author: loga1994 |
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