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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Vydané v:IEEE access Ročník 11; s. 47836 - 47847
Hlavní autori: Khan, Inaamullah, Cheffena, Michael, Hasan, Mohammad Mahmudul
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Bit error rate
Channel estimation
DACE
Errors
Estimation
Mean square errors
MIMO communication
MIMO-OFDM
OFDM
Orthogonal Frequency Division Multiplexing
Reliability
Sequences
Signal detection
Signal to noise ratio
Symbols
Wireless communication
ISSN:2169-3536, 2169-3536
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Popis
Shrnutí: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 of the system. The proposed data aided channel estimation (DACE) algorithm eliminates the requirement of any additional resources such as excessive number of training sequences 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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3269659