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Description: Introduction to channel estimation by using LS and MMSE.
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Size: 10153 |
Author: 楊忠倫 |
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Description: Introduction to channel estimation by using LS and MMSE.
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Size: 10240 |
Author: 楊忠倫 |
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Description: 梳状导频方式下OFDM系统的LS、LMMSE算法比较-Comb Pilot OFDM system under LS, LMMSE algorithm
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Size: 1024 |
Author: 袁园 |
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Description: LS vs MMSE estimator for SISO OFDM system
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Size: 1024 |
Author: Asterixsm |
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Description: A matlab program for Channel estimation for MIMO OFDM with ls estimator
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Size: 2048 |
Author: kalapraveen |
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Description: LS estimator- statistical properties
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Size: 1024 |
Author: Mariusz |
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Description: LS estimator- statistical properties
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Size: 1024 |
Author: Mariusz |
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Description: LS estimator- statistical properties
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Size: 2048 |
Author: Mariusz |
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Description: LS（Least Square，最小二乘法）算法是信道估计算法中最基本的算法之一。在MIMO-OFDM系统中，经常选择LS算法或其改进算法对信道进行估计。利用LS算法设计信道估计器，算法结构简单易于实现，且估计器不需要知道信道中各个收发天线对之间的自相关矩阵和噪声。-LS (further Square, Least Square) algorithm is one of the most basic algorithm of channel estimation algorithm. In MIMO- OFDM systems, often choose LS algorithm and its improved algorithm for channel estimation. Use of channel estimator and the LS algorithm design algorithm structure simple and easy to implement, and the estimator does not need to know in the channel between the sending and receiving antenna for autocorrelation matrix and noise.
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Size: 2048 |
Author: su |
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Description: OFDM系统信道估计小程序，包括LS，LMMSE等算法-OFDM channel estimator, LS , LMMSE
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Size: 2048 |
Author: bao |
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Description: Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.-Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.
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Size: 80896 |
Author: werad |
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Description: ofdm-pnc 系统信道估计算。包括LS，LMMSE，SVD等算法-ofdm-plc system channel estimator. Including the LS, MMSE, SVD algorithms
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Size: 29696 |
Author: zhaodl |
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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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