MIMO Channel Spatial Covariance Estimation: Analysis Using a Closed-Form Model
Multiple-input Multiple-output (MIMO) wireless communication systems allow increased spectral efficiency and therefore promise significant improvement in performance. However, because of the rapid variation in channel state information (CSI) in networks with mobile nodes or scatterers, it is difficu...
Main Author: | Yang, Yanling |
---|---|
Format: | Others |
Published: |
BYU ScholarsArchive
2010
|
Subjects: | |
Online Access: | https://scholarsarchive.byu.edu/etd/2488 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3487&context=etd |
Similar Items
-
Channel Covariance Matrix Estimation via Dimension Reduction for Hybrid MIMO MmWave Communication Systems
by: Rui Hu, et al.
Published: (2019-07-01) -
Channel Covariance Identification in FDD Massive MIMO Systems
by: José P. González-Coma, et al.
Published: (2018-09-01) -
Spatial Separation of Closely-Located Users in Measured Massive MIMO Channels
by: Jose Flordelis, et al.
Published: (2018-01-01) -
A Tensor-Based Covariance Differencing Method for Direction Estimation in Bistatic MIMO Radar With Unknown Spatial Colored Noise
by: Fangqing Wen, et al.
Published: (2017-01-01) -
Studies on the Performance and Impact of Channel Estimation in MIMO and OFDM Systems
by: Larsen, Michael David
Published: (2009)