MIMO-OFDM 2×2 based on single RF using LDPC code and Kalman filter detection

2017 ◽  
Author(s):  
Indira Bestari ◽  
I. Gede Puja Astawa ◽  
Arifin
Keyword(s):  
Kalman Filter ◽  
Ldpc Code ◽  
Mimo Ofdm

scholarly journals SBL Kalman Filter Based Hybrid Precoder/ Combiner for mmWave MIMO Systems: A Frequency Domain Approach

2021 ◽  
Author(s):  
Shoukath Ali k ◽  
Sampath Palaniswami
Keyword(s):  
Kalman Filter ◽  
Frequency Domain ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo Systems ◽  
Least Square ◽  
Ofdm Systems ◽  
Millimetre Wave ◽  
Minimum Number ◽  
Mimo Ofdm ◽  
Frequency Domain Approach

Abstract The optimal design of hybrid precoder/ combiner for Millimetre Wave (mmWave) Multiple Input and Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM ) system is developed presented. In the frequency domain approach, Sparse Bayesian Learning - Kalman Filter (SBL-KF) algorithm is used to design the optimal hybrid precoder/ combiner in mmWave MIMO OFDM systems. Sparse signal recovery problem for Single Measurement Vector (SMV) is discussed, that is close to the design of ideal digital baseband precoder by maximizing the mutual information from the hybrid precoder. SBL-KF scheme select the minimum number of active Radio Frequency (RF) chains based on the hyper parameter estimator. The minimum number of RF chain is approximate the ideal digital precoder / combiner design. Proposed SBL-KF scheme achieve low power consumption and enhanced spectral efficiency, when compared to the SBL, Orthogonal Matching Pursuit (OMP), Simultaneous OMP (SOMP) and Least Square schemes, which activate a fixed data streams and fixed number of RF chains.

scholarly journals The application of LDPC code in MIMO-OFDM system

2018 ◽  
Vol 322 ◽  
pp. 072009
Author(s):  
Ruian Liu ◽  
Beibei Zeng ◽  
Tingting Chen ◽  
Nan Liu ◽  
Ninghao Yin
Keyword(s):  
Ldpc Code ◽  
Ofdm System ◽  
Mimo Ofdm

scholarly journals Channel Estimation using Kalman Filter for MIMO-OFDM Communication System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3075-3077
Keyword(s):  
Kalman Filter ◽  
Channel Estimation ◽  
Communication System ◽  
Visually Impaired ◽  
Reference Data ◽  
Mimo Ofdm ◽  
Channel Variation

With the advancement of remote correspondence, the confinement of sign estimation under channel variation condition and their belongings were expanding. Different systems were proposed in past for the improvement of sign estimation effectiveness dependent on reference data utilizing versatile, visually impaired or semi visually impaired methodologies. Where visually impaired and semi visually impaired are seen to beat the versatile based methodologies, further upgrades are still on research to improve the productivity with least time union. To accomplish this goal, estimation calculations in time, recurrence and time-recurrence area were created. These methodologies attempt to accomplish the productivity targets by either expanding the estimation recursion or restricting the mistake likelihood. This paper exhibits a methodology for accomplishing improved estimation proficiency with least time assembly and lesser mistake likelihood, in MIMO correspondence framework utilizing the kalman filtration approach. A ghastly estimation rationale dependent on vitality of the sign range is made.

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