Taylor-Based Least Square Estimation in MIMO-OFDM Systems for Multimedia Applications

2021 ◽  
Author(s):  
Shital N. Raut ◽  
Rajesh M. Jalnekar
Keyword(s):  
Multimedia Applications ◽  
Least Square ◽  
Ofdm Systems ◽  
Least Square Estimation ◽  
Mimo Ofdm

scholarly journals Research of Optimization Algorithms used in MIMO-OFDM Systems

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1707-1712
Keyword(s):  
Optimization Algorithms ◽  
Pso Algorithm ◽  
Least Square ◽  
Advanced Technology ◽  
Ofdm Systems ◽  
Matlab Simulation ◽  
Broadband Wireless ◽  
Mimo Ofdm ◽  
Narrowband Channels ◽  
Optimum Solution

Orthogonal Frequency Diνision Multiplexing (OFDM) technology is used to split large amount of data into several parallel narrowband channels with different frequencies orthogonally such that interference is reduced. Multiple Input M𝒖ltiple Output (MIMO) technology uses diversity ƫechnique such that capɑcity of the system and data throughput can be improved. Thereby combining both the technologies as MIMOOFDM achieves great spectral efficiency and it is the most advanced technology in broadband wireless communication. Ƭhe channel estimation techniques like Leaşt Square Estimation (LSE) algorithm is used to estimate the channel and the performancе of MIMO-OFDM system is еvaluated on the basis of Bit Error Ratе (BER) and MеanSquarе Error (MSE) by using MATLAB simulation. Further enhancement can be achieved by applying optimization algorithms, in this paper to find the optimum solution Partic1e Swɑrm Optimization Algorithm (PSO) is uti1ized when the pilots are placed randomly. Simulation outcome show that PSO algorithm outperforms the LSE when random pilots are used for MIMO-OFDM systems.

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 Least Square Channel Estimation for Two-Way Relay MIMO OFDM Systems

ETRI Journal ◽  
2011 ◽  
Vol 33 (5) ◽  
pp. 806-809 ◽  
Author(s):  
Zhaoxi Fang
Keyword(s):  
Channel Estimation ◽  
Least Square ◽  
Ofdm Systems ◽  
Square Channel ◽  
Mimo Ofdm

A Resource Allocation Scheme for Multiuser MIMO/OFDM Systems with Spatial Grouping

2011 ◽  
Vol E94-B (4) ◽  
pp. 1006-1015
Author(s):  
Chun-Ye LIN ◽  
Yung-Fang CHEN
Keyword(s):  
Resource Allocation ◽  
Ofdm Systems ◽  
Allocation Scheme ◽  
Multiuser Mimo ◽  
Mimo Ofdm ◽  
Spatial Grouping ◽  
Resource Allocation Scheme

Modified MMSE SQRD Based Detection for Coded MIMO-OFDM Systems

2013 ◽  
Vol E96.B (3) ◽  
pp. 830-835 ◽  
Author(s):  
Wen ZHONG ◽  
Anan LU ◽  
Xiqi GAO
Keyword(s):  
Ofdm Systems ◽  
Mimo Ofdm

Joint Transmission and Coding Scheme for High-Resolution Video Streams over Multiuser MIMO-OFDM Systems

2017 ◽  
Vol E100.A (11) ◽  
pp. 2304-2313 ◽  
Author(s):  
Koji TASHIRO ◽  
Leonardo LANANTE ◽  
Masayuki KUROSAKI ◽  
Hiroshi OCHI
Keyword(s):  
High Resolution ◽  
Ofdm Systems ◽  
Video Streams ◽  
Multiuser Mimo ◽  
Coding Scheme ◽  
Mimo Ofdm ◽  
Joint Transmission

Improving Space-Time-Frequency MIMO-OFDM with ICI Self-Cancellation Scheme using Least Square Error Estimator

2015 ◽  
Vol 12 (1) ◽  
pp. 25
Author(s):  
Nur Farahiah Ibrahim ◽  
Zahari Abu Bakar ◽  
Azlina Idris
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Symbol Error Rate ◽  
Space Time ◽  
Least Square ◽  
Error Estimator ◽  
Frequency Diversity ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Subcarrier Mapping

Channel estimation techniques for Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) based on comb type pilot arrangement with least-square error (LSE) estimator was investigated with space-time-frequency (STF) diversity implementation. The frequency offset in OFDM effected its performance. This was mitigated with the implementation of the presented inter-carrier interference self-cancellation (ICI-SC) techniques and different space-time subcarrier mapping. STF block coding in the system exploits the spatial, temporal and frequency diversity to improve performance. Estimated channel was fed into a decoder which combined the STF decoding together with the estimated channel coefficients using LSE estimator for equalization. The performance of the system was compared by measuring the symbol error rate with a PSK-16 and PSK-32. The results show that subcarrier mapping together with ICI-SC were able to increase the system performance. Introduction of channel estimation was also able to estimate the channel coefficient at only 5dB difference with a perfectly known channel.

RLS Channel Estimation via the Iterative-MAP Algorithm for MIMO-OFDM Systems

2011 ◽  
Vol 30 (8) ◽  
pp. 1787-1790
Author(s):  
Hong Xiao ◽  
Han-wen Luo ◽  
Yong-ming Liang
Keyword(s):  
Channel Estimation ◽  
Ofdm Systems ◽  
Map Algorithm ◽  
Mimo Ofdm

A Sparsity Enhanced Channel Estimation Algorithm Based on Compressed Sensing in MIMO-OFDM Systems

2014 ◽  
Vol 35 (3) ◽  
pp. 665-670 ◽  
Author(s):  
Zhi-bin Xie ◽  
Tong-si Xue ◽  
Yu-bo Tian ◽  
Wei-chen Zou ◽  
Qing-hua Liu ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Estimation Algorithm ◽  
Ofdm Systems ◽  
Mimo Ofdm
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