Title :
Closed-Form Evaluation of the MIMO Channel Spatial Covariance
Author :
Sharifabad, F.K. ; Jensen, Michael A. ; Zhengqing Yun
Author_Institution :
Electr. & Comput. Eng. Dept., Brigham Young Univ., Provo, UT, USA
Abstract :
The full spatial covariance matrix of the multiple-input multiple-output channel is an important quantity that is used in channel modeling, communication system signal processing, and performance analysis. This paper formulates a closed-form expression for this covariance matrix based on the average multipath propagation characteristics and the radiation patterns of the antennas in the transmit and receive arrays. Simplifications to the formulation are established for cases where the propagation can be represented using discrete plane waves or where the power angular spectrum can be modeled using clusters that satisfy uniform, truncated Gaussian, or truncated Laplacian distributions. Numerical studies demonstrate application of the formulation as well as its accuracy under different scenarios.
Keywords :
Gaussian distribution; Laplace equations; MIMO communication; antenna arrays; antenna radiation patterns; covariance matrices; receiving antennas; signal processing; transmitting antennas; MIMO channel spatial covariance; antenna; average multipath propagation characteristics; channel modeling; closed-form evaluation; communication system signal processing; discrete plane wave; multiple-input multiple-output channel; performance analysis; power angular spectrum; radiation pattern; receive array; spatial covariance matrix; transmit array; truncated Gaussian distribution; truncated Laplacian distribution; Antenna radiation patterns; Correlation; Covariance matrix; Ray tracing; Receivers; Shadow mapping; Vectors; Correlation; multiple-input multiple-output (MIMO) systems; propagation;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2012.2223432