Efficiency Estimation of MIMO Communication System Channel Coefficients Based on Markov Model

Yuri Parshin,Vladislav Kudryashov

doi:10.1051/matecconf/20167603007

Yuri Parshin, Vladislav Kudryashov

Open Access

https://doi.org/10.1051/matecconf/20167603007

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Abstract

Based on Markov model of MIMO data transmission system channel coefficients from moving object held synthesis and analysis of channel coefficients error estimation. The model takes into account distribution configuration of reflectors in area, reception center and moving object location at a given time, kind of trajectory and speed of the moving object. A theory discrete Markov processes linear filtration is used by the development of estimation algorithm. Posteriori dispersions matrix is calculated. The simulation of filtering algorithm for different signal-interference situations is carried out.

Highlights

Due to the expansion of applications of mobile objects to accumulate various types of information arises the problem of transmitting information from mobile object to receiving station
The channel estimation errors has a significant impact on channel capacity [2,3,4]
The purpose of the article is to increase the MIMO data transmission system capacity by reduction of channel coefficients estimation error, which is achieved by using the optimal algorithm for filtering channel coefficients based on the Markov model

Summary

Introduction

Due to the expansion of applications of mobile objects to accumulate various types of information arises the problem of transmitting information from mobile object to receiving station. Implementation of required bandwidth causes difficulties due to multipath propagation of radio waves from mobile object to receiving station. In these conditions data transmission systems based on MIMO technology [1] are widely used. The reduction of channel coefficients estimation errors can be realize by the most complete account of their statistical properties, as well as development of optimal estimation algorithm. The purpose of the article is to increase the MIMO data transmission system capacity by reduction of channel coefficients estimation error, which is achieved by using the optimal algorithm for filtering channel coefficients based on the Markov model

Statement of the Problem

Development of Channel Coefficients Model And Filtering

Analysis of Channel Coefficients Estimating Errors

Conclusion