scholarly journals Survey based on Channel Estimation in MIMO Techniques

2020 ◽  
pp. 59-62
Author(s):  
Gunanandhini S ◽  
Sowndharya G ◽  
Dhivyasri G ◽  
Vinothkumar K

In wireless communication system, Signals are distorted due to noise, fading of multipath and interference. Different methods are used to counteract such effects. By using the MIMO technique, effects of fading can be reduced. In these techniques multiple signals are transmitted and received through multiple antennas, the received signal can be distorted by fading. To retrieve the signal that is transmitted, received signal could be estimated by using channel estimation techniques. Space Time Block Codes (Alamouti code), Minimum Mean Square and Zero forcing are the channel estimation techniques for MIMO scheme. The paper mainly focuses to analyse and simulate the channel estimation technique with modulation techniques like BPSK schemes. In addition to that, simulation can be performed implemented in MATLAB.

Author(s):  
Javier Vía ◽  
Ignacio Santamaría ◽  
Jesús Ibáñez

This chapter analyzes the problem of blind channel estimation under Space-Time Block Coded transmissions. In particular, a new blind channel estimation technique for a general class of space-time block codes is proposed. The method is solely based on the second-order statistics of the observations, and its computational complexity reduces to the extraction of the main eigenvector of a generalized eigenvalue problem. Additionally, the identifiability conditions associated to the blind channel estimation problem are analyzed, which is exploited to propose a new transmission technique based on the idea of code diversity or combination of different codes. This technique resolves the ambiguities in most of the practical cases, and it can be reduced to a non-redundant precoding consisting in a single set of rotations or permutations of the transmit antennas. Finally, the performance of the proposed techniques is illustrated by means of several simulation examples.


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