Spatial Multidimensional Cooperative Transmission Theories And Key Technologies. Lin Bai

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Название Spatial Multidimensional Cooperative Transmission Theories And Key Technologies
Автор произведения Lin Bai
Жанр Зарубежная компьютерная литература
Серия
Издательство Зарубежная компьютерная литература
Год выпуска 0
isbn 9789811202476



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rel="nofollow" href="#ulink_946bc669-5a4d-5d43-a95d-245afb739993">1.3.2The basic principle of space-based cooperative transmission system

       1.4Summary

       References

       Chapter 2.The Overview of Multi-Antenna Signal and System

       2.1Spatial Signal Combination and Detection Basis

       2.1.1Spatial signal combination

       2.1.2Received signal detection

       2.2Array Antenna Pattern Synthesis Technology

       2.2.1Array antenna arrangement

       2.2.2Array antenna freedom

       2.2.3Array antenna pattern synthesis

       2.3Overview of the MIMO System

       2.3.1Diversity technique

       2.3.2SIMO system

       2.3.3MISO system

       2.3.4MIMO system

       2.4MIMO Traditional Detection Technology

       2.4.1System model

       2.4.2Uncoded MIMO signal detection

       2.4.3Simulation results

       2.5Summary

       References

       Chapter 3.Adaptive Antenna Array Theory and Technology

       3.1The Basic Principle of Adaptive Antenna Array

       3.2Optimal Filtering Criteria

       3.2.1Minimum mean square error criterion

       3.2.2Maximum signal-to-interference-and-noise ratio criterion

       3.2.3Maximum likelihood criterion

       3.2.4Minimum variance criterion

       3.3Adaptive Beamforming Algorithm

       3.3.1Least mean square algorithm

       3.3.2Sample matrix inversion

       3.3.3Recursive least squares

       3.3.4Conjugate gradient algorithm

       3.3.5Constant modulus algorithm

       3.4Direction of Arrival Estimation

       3.4.1Traditional spectral estimation method

       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

       3.5.2Signal injection 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

       3.7Summary

       References

       Chapter 4.MIMO Multi-Antenna Theory and Technology

       4.1MIMO Channel Model

       4.2MIMO