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Sparse Channel Estimation Using Order Extension for Frequency and Time Selective MIMO Wireless Communication Networks
Sparse Channel Estimation Using Order Extension for Frequency and Time Selective MIMO Wireless Communication Networks
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机译:频率和时间选择MIMO无线通信网络中使用阶数扩展的稀疏信道估计
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摘要
A channel matrix is estimated for a channel subject to frequency and time selective fading in a multiple-input multiple-output (MIMO) wireless communication network. The method uses a recursive least-squares (RLS) process and an expectation-maximization (EM) process, based on a L1-Lq regularized sparse regression. The method significantly improves an accuracy of the channel estimation by using high-order matrix extension to obtain covariance matrices. The covariance matrices and an initial estimate are refined by a sparse EM to obtain the final estimate of the channel.
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