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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |
LEADER | 03056nam a2200553Ia 4500 | ||
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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 |