Data Aided Channel Estimation for MIMO-OFDM Wireless Systems using Reliable Carriers

Wireless channel estimation is one of the challenging problems in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) wireless systems. The MIMO-OFDM exploits the spatial resources and increases the reliability and capacity of wireless systems. However, the performa...

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Bibliographic Details
Main Authors: Cheffena, M. (Author), Hasan, M.M (Author), Khan, I. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
Online Access:View Fulltext in Publisher
View in Scopus
LEADER 03056nam a2200553Ia 4500
001 10.1109-ACCESS.2023.3269659
008 230529s2023 CNT 000 0 und d
020 |a 21693536 (ISSN) 
245 1 0 |a Data Aided Channel Estimation for MIMO-OFDM Wireless Systems using Reliable Carriers 
260 0 |b Institute of Electrical and Electronics Engineers Inc.  |c 2023 
300 |a 1 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1109/ACCESS.2023.3269659 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159724165&doi=10.1109%2fACCESS.2023.3269659&partnerID=40&md5=0e7b0393c3b04ad70e7d4b8c8efc1fca 
520 3 |a Wireless channel estimation is one of the challenging problems in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) wireless systems. The MIMO-OFDM exploits the spatial resources and increases the reliability and capacity of wireless systems. However, the performance of these systems depends on accurate channel estimation since the receivers require perfect Channel State Information (CSI) for coherent signal detection. Thus, wireless channel estimation is a necessary component of OFDM systems. In this article, we have proposed an algorithm for MIMO-OFDM systems that combines pilot symbols with reliable data symbols for channel estimation. The reliable data symbols serve as virtual pilots and enhance the spectral efficiency. The proposed Data Aided Channel Estimation (DACE) algorithm eliminates the requirement of any additional resources such as excessive number of training symbols to attain the desired performance. Also, it outperforms the traditional Least Square (LS) and Linear Minimum Mean Square Error (LMMSE) methods for channel estimation in terms of Mean Square Error (MSE) and Bit Error Rate (BER) performance of the system. Author 
650 0 4 |a Bit error rate 
650 0 4 |a Channel estimation 
650 0 4 |a Channel state information 
650 0 4 |a Communication channels (information theory) 
650 0 4 |a DACE 
650 0 4 |a Data aided channel estimation 
650 0 4 |a Data symbols 
650 0 4 |a Data-aided 
650 0 4 |a Errors 
650 0 4 |a Estimation 
650 0 4 |a Frequency estimation 
650 0 4 |a Gain control 
650 0 4 |a Least squares approximations 
650 0 4 |a Mean square error 
650 0 4 |a MIMO systems 
650 0 4 |a MIMO-OFDM 
650 0 4 |a Multiple-input multiple-output orthogonal frequency-division multiplexing 
650 0 4 |a OFDM 
650 0 4 |a Orthogonal frequency division multiplexing 
650 0 4 |a Performance 
650 0 4 |a Reliability 
650 0 4 |a Signal receivers 
650 0 4 |a Signal to noise ratio 
650 0 4 |a Spatial resources 
650 0 4 |a Spectrum efficiency 
650 0 4 |a Symbol 
650 0 4 |a Symbols 
650 0 4 |a Wireless channel 
650 0 4 |a Wireless communication 
650 0 4 |a Wireless communications 
650 0 4 |a Wireless systems 
700 1 0 |a Cheffena, M.  |e author 
700 1 0 |a Hasan, M.M.  |e author 
700 1 0 |a Khan, I.  |e author 
773 |t IEEE Access