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reduced complexity parameter estimation in mimo ofdm
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一种新的OFDM的信道估计算法。比原有的信道估计算法复杂度要低，并且精度要高-A new algorithm for OFDM channel estimation. Than the original channel estimation algorithm complexity is lower, and higher precision
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Designing spectral e±cient, high-speed wireless links that o® er high quality-
of-service and range capability has been a critical research and engineering chal-
lenge. In this thesis, we mainly address the complexity and performance issues o
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为了抑制多用户MIMO-OFDM系统的共道干扰,采用MMSE干扰抑制和符号估计相结合的检测方案,该检测方案接收端译码简单.理论分析及仿真结果表明,与传统检测方案相比,该检测方案在没有增加计算复杂度的情况下有效地抑制并消除了共道用户干扰.-In order to restrain the interference of co-channel users in MIMO-OFDM system,in this paper,adopted the combination of the detectio
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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
(O
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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
(O
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Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based p
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Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based p
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搭建OFDM通信系统的框架，LZ复杂度反映的是一个时间序列中，现代信号处理中谱估计在matlab中的使用。- Build a framework OFDM communication system, LZ complexity is reflected in a time sequence, Modern signal processing used in the spectral estimation in matlab.
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