A Spatial-Temporal Subspace-Based Compressive Channel Estimation Technique in Unknown Interference MIMO Channels.
IEEE Transactions on Signal Processing(2020)
摘要
Spatial-temporal (ST) subspace-based channel estimation techniques formulated with ℓ2 minimum mean square error (MMSE) criterion alleviate the multi-access interference (MAI) problem when the interested signals exhibit low-rank property. However, the conventional B2ST subspace-based methods suffer from mean squared error (MSE) deterioration in unknown interference channels, due to the difficulty t...
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关键词
Channel estimation,Interference,MIMO communication,Covariance matrices,Receivers,Array signal processing,Principal component analysis
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