scholarly journals Characteristic Analysis on UAV-MIMO Channel Based on Normalized Correlation Matrix

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Gao Xi jun ◽  
Chen Zi li ◽  
Hu Yong Jiang
Keyword(s):  
Correlation Matrix ◽  
Channel Model ◽  
Three Dimensional ◽  
Matrix Decomposition ◽  
Mimo Channel ◽  
Characteristic Analysis ◽  
Channel Correlation ◽  
Channel Matrix ◽  
Time Frequency ◽  
Model Channel

Based on the three-dimensional GBSBCM (geometrically based double bounce cylinder model) channel model of MIMO for unmanned aerial vehicle (UAV), the simple form of UAV space-time-frequency channel correlation function which includes the LOS, SPE, and DIF components is presented. By the methods of channel matrix decomposition and coefficient normalization, the analytic formula of UAV-MIMO normalized correlation matrix is deduced. This formula can be used directly to analyze the condition number of UAV-MIMO channel matrix, the channel capacity, and other characteristic parameters. The simulation results show that this channel correlation matrix can be applied to describe the changes of UAV-MIMO channel characteristics under different parameter settings comprehensively. This analysis method provides a theoretical basis for improving the transmission performance of UAV-MIMO channel. The development of MIMO technology shows practical application value in the field of UAV communication.

scholarly journals Construction of analytical wireless MIMO channel model based on full correlation matrix approximation

2020 ◽  
pp. 52-61
Author(s):  
Alexander Kalachikov ◽  
◽  
Nikolay Shelkunov ◽  
Keyword(s):  
Covariance Matrix ◽  
Correlation Matrix ◽  
Channel Model ◽  
Channel Modeling ◽  
Mimo Channel ◽  
Matrix Approximation ◽  
Channel Correlation ◽  
Correlation Matrices ◽  
Sample Covariance ◽  
Good Agreement

This paper addresses the experimental wireless MIMO channel modeling and validation based on channel sounding data using the approximation of the full channel correlation matrix. Measurement were carried out in indoor laboratory environment at central frequency 2.3 GHz. An analytical MIMO channel model is presented based on optimal approximation of channel covariance matrix. Approximation of a full channel covariance matrix is based on the optimal Kronecker product series expansion of the sample covariance matrix. The channel correlation matrices calculated from the measured channel coefficients were decomposed using Van Loan and Pitsanis approximation algorithm. Experimental validation of such model is presented. The accuracy of the MIMO channel modeling was evaluated by the correlation matrix distance and by calculating of CDF of channel capacity. The results show that these models have good agreement with the MIMO channel measured data. Also two popular analytical MIMO channel models – Kronecker and Weichselberger models are evaluated and compared with the presented channel model.

scholarly journals Three-Dimensional MIMO Channel Model with High-Mobility Wireless Communication Systems Using Leaky Coaxial Cable in Rectangular Tunnel

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Kai Zhang ◽  
Fangqi Zhang ◽  
Guoxin Zheng ◽  
Lei Cang
Keyword(s):  
Wireless Communication ◽  
Communication Systems ◽  
Channel Model ◽  
Mimo System ◽  
Three Dimensional ◽  
High Mobility ◽  
Coaxial Cable ◽  
Mimo Channel ◽  
Wireless Communication Systems ◽  
Rectangular Tunnel

With the rapid development of high-mobility wireless communication systems, e.g., high-speed train (HST) and metro wireless communication systems, more and more attention has been paid to the wireless communication technology in tunnel-like scenarios. In this paper, we propose a three-dimensional (3D) nonstationary multiple-input multiple-output (MIMO) channel model with high-mobility wireless communication systems using leaky coaxial cable (LCX) inside a rectangular tunnel over the 1.8 GHz band. Taking into account single-bounce scattering under line-of-sight (LoS) and non-line-of-sight (NLoS) propagations condition, the analytical expressions of the channel impulse response (CIR) and temporal correlation function (T-CF) are derived. In the proposed channel model, it is assumed that a large number of scatterers are randomly distributed on the sidewall of the tunnel and the roof of the tunnel. We analyze the impact of various model parameters, including LCX spacing, time separation, movement velocity of Rx, and K-factor, on the T-CF of the MIMO channel model. For HST, the results of some further studies on the maximum speed of 360 km/h are given. By comparing the T-CF between the dipole MIMO system and the LCX-MIMO system, we can see that the performance of the LCX-MIMO system is better than that of the dipole MIMO system.

scholarly journals The Effect of the Eigenvalues of the Zero-Forcing Detector on Its Performance in the Space-Division Multiplexing System

2021 ◽  
Vol 14 (1) ◽  
pp. 340-355
Author(s):  
Ashraf Hassan ◽  
◽  
Ali Saleh ◽  
Keyword(s):  
Correlation Matrix ◽  
Signal To Noise Ratio ◽  
Channel Noise ◽  
Noise Power ◽  
Zero Forcing ◽  
Signal To Noise ◽  
Channel Correlation ◽  
Channel Matrix ◽  
Space Division Multiplexing ◽  
Space Division

Zero-Forcing (ZF) detector is used in Space-Division Multiplexing (SDM) receiver to remove interference among the received symbols. Previous works showed that the power of channel noise is enhanced in the output of the ZF detector. They recommend using the ZF detector when the received Signal-to-Noise Ratio (SNR) is high. This work proves that the performance of the ZF detector depends on the eigenvalues of the channel correlation matrix. The paper shows that if the sum of the eigenvalues of this correlation matrix is equal to the rank of the channel matrix, the ZF detector will not enhance noise power at its outputs. Moreover, if the sum of the eigenvalues is smaller than the rank of the channel matrix, the ZF detector will reduce noise power at its outputs. In this work, a theorem, which demonstrates the performance of the ZF detector in SDM receiver, is introduced and proved. The proposed work uses smart antennas in the transmitter and receiver to control the elements and eigenvalues of the channel matrix. The introduced theorem and a complete SDM receiver with ZF detector are simulated and evaluated at different conditions with different criteria. A real-time SDM receiver with ZF detector is also implemented and evaluated. The simulation and implementation results are shown at the end of this study. The results of the proposed systems show that a ZF detector can be used to remove interference in the SDM system without enhancing the channel noise.

scholarly journals A 3D Non-Stationary Channel Model with Moving Mobile Station in Rectangular Tunnel

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Zhicheng Ren ◽  
Fangqi Zhang ◽  
Guoxin Zheng ◽  
Asad Saleem ◽  
Ke Guan
Keyword(s):  
Correlation Function ◽  
Channel Model ◽  
Radio Channel ◽  
Three Dimensional ◽  
Mobile Station ◽  
Statistical Properties ◽  
Time Frequency ◽  
Doppler Power ◽  
Rectangular Tunnel ◽  
Stationary Channel

This paper presents a three-dimensional (3D) geometry-based stochastic model (GBSM) for capturing the non-stationarity of radio channel at 1.8 GHz in a rectangular tunnel. A time-variant (TV) complex channel gain is derived for obtaining the statistical properties in time, frequency, and spatial domains such as the time-variant autocorrelation function (TV-ACF), the time-variant Doppler power spectral density (TV-DPSD), and the time-variant spatial cross-correlation function (TV-CCF), respectively. Then the TV channel statistical properties at different time instants can be extracted and the non-stationary channel characteristics caused by the TV scattering environment are thoroughly discussed. Furthermore, three cases including “approach”, “arrival”, and “away” are set to allow a comprehensive study on how the DPSD behaves with the relative position between transmitter and receiver. The reliability of proposed 3D GBSM is highlighted by a good agreement with the measured result in terms of the correlation function.

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