Spatial Multidimensional Cooperative Transmission Theories And Key Technologies. Lin Bai
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3.4.2Maximum entropy spectrum estimation
3.4.3Multiple signal classification algorithm
3.4.4Estimation of signal parameters via rotational invariance techniques
3.4.5Maximum likelihood algorithm
3.4.6Subspace fitting algorithm
3.5Adaptive Antenna Array Calibration
3.5.1Radio feed reference signal method
3.5.3Blind signal calibration method
3.6Adaptive Antenna System Hardware Architecture
3.6.1Radio frequency front-end module
3.6.2Data signal processing module
3.6.3Parallel digital beamforming
Chapter 4.MIMO Multi-Antenna Theory and Technology
4.2.1Deterministic channel capacity
4.2.2Random MIMO channel capacity
4.2.3Comparison of MIMO channel capacity for average power allocation
4.3MIMO Space–Time Coding Technology
4.3.1Space–time coding and coding guidelines
4.4MIMO Beamforming Technology
4.5MIMO Multi-antenna Technology
4.5.1Mutual coupling of multiple antenna units
4.5.2Spatial correlation coefficient
4.5.3Spatial correlation and MIMO channel
4.5.4MIMO multi-antenna decoupling
4.5.5MIMO multi-antenna selection
4.6.1Massive MIMO system application prospects
4.6.2Channel hardening under large sizes
4.6.3Technical challenges faced by large-scale MIMO
Chapter 5.Spatial Multidimensional Signal Reception and Iterative Processing
5.1MIMO Detection Technology Based on Lattice Theory
5.1.1Lattice mathematical basis