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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.
Date : 2008-10-13 Size : 1.21mb User : 吴大亨

DL : 0
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.
Date : 2025-07-12 Size : 1.21mb User : 吴大亨

这篇文档重在介绍多载波的MIMO技术中如何进行肓信道估计,具有很高的价值.-Introduction This document focus on the MIMO multi-carrier technology in how to proceed with blind channel estimation of high value.
Date : 2025-07-12 Size : 358kb User : wanghuan

DL : 0
ofdm的盲同步,很好的文章,需要的就看看吧-OFDM Blind Carrier Offset Estimation ESPRIT
Date : 2025-07-12 Size : 429kb User : GeneralLee

This file contains a matlab file for blind carrier estimation which compute the phase and frequency offset of carrier due to Doppler shift.
Date : 2025-07-12 Size : 1kb User : Abbas

直接序列扩频信号参数盲估计系统 估计载频、码速率、码周期等-Blind direct sequence spread spectrum signal parameters estimation system estimates the carrier frequency, code rate, code cycles, etc.
Date : 2025-07-12 Size : 116kb User : 虎中之王

经典的CPM信号的载波、符号率、调制指数联合盲估计的IEEE文章-Classic CPM signal carrier, symbol rate, modulation index of the IEEE Joint blind estimation of the article
Date : 2025-07-12 Size : 361kb User : 王威

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.
Date : 2025-07-12 Size : 393kb User : 李真

DL : 0
可以得到很精确的幅值、频率、相位估计,采用累计贡献率的方法,有小波分析的盲信号处理,抑制载波型差分相位调制,预报误差法参数辨识-松弛的思想,用MATLAB实现的压缩传感。- You can get a very accurate amplitude, frequency, phase estimation, The method of cumulative contribution rate There Wavelet Analysis Blind Signal Processing, Suppressed carrier type differential phase modulation, Prediction Error Method for Parameter Identification- the idea of relaxation, Using MATLAB compressed sensing.
Date : 2025-07-12 Size : 11kb User : nhtvebg

盲多载波频偏估计算法,使用过采样算法。估计载波频率偏移-Blind Estimation of multiple carrier frequency offset. The goal of this Matlab script is to identify a Multiple antenna system with multiple Carrier Frequency Offsets based on over-sampling. This code will plot the blind estimation results using figures.
Date : 2025-07-12 Size : 10kb User : hou weikun

DL : 0
blind carrier frequency offset estimation of ofdm mimo system
Date : 2025-07-12 Size : 311kb User : Deepika

DL : 0
In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in comparison with the subspace approach. Using only second order statistics, the ACM approach shows similar performance to that of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation as in subspace technique. In particular we incorporate blind channel estimation with Layered Space Frequency Equalisation (LSFE),which employs successive interference cancellation and therefore provides significant performance improvement over the conventional linear minimum mean square error (MMSE) based approach.
Date : 2025-07-12 Size : 107kb User : Casper_z
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