We apply sparse signal processing to OFDM channel estimation under impulse noise.
我们将稀疏信号处理应用于冲击噪声下的OFDM信道估计问题。
Although Wiener filtering has better performance in OFDM channel estimation, it is difficult to implement, because of high complexity.
在应用于OFDM系统的信道估计方法中，维纳滤波是一种估计性能较好的算法，但是该方法计算复杂度大，不利于实现。
The MIMO-OFDM channel estimation method is researched based on the system design, and a space-frequency domain optimal pilot-tones design algorithm is presented.
从系统设计角度研究了MIMO-OFDM系统的信道估计方法，提出一种基于空频域的最优导频设计算法。
In Chapter Four, the common OFDM channel Estimation algorithm, including LS and MMSE method is studied and its corresponding performance is simulated and analyzed in UWB channel.
第四章主要研究了OFDM系统常见的信道估计方法，包括LS、MMSE等算法，并且在UWB信道条件下进行了相应的性能仿真和分析。
In Chapter Four, the common OFDM channel Estimation algorithm, including LS and MMSE method is studied and its corresponding performance is simulated and analyzed in UWB channel.
第四章主要研究了OFDM系统常见的信道估计方法，包括LS、MMSE等算法，并且在UWB信道条件下进行了相应的性能仿真和分析。
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