Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor Networks
The orthogonal frequency division multiple access (OFDMA) technique has been widely employed in sensor networks as the data modulation scheme. This study presents a one-dimensional (1D) space–time signal processing scheme for the joint estimation of direction of arrival (DOA) and carrier frequency o...
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MDPI AG
2023-02-01
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Online Access: | https://www.mdpi.com/1424-8220/23/4/2115 |
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author | Yung-Yi Wang Jian-Rung Huang |
author_facet | Yung-Yi Wang Jian-Rung Huang |
author_sort | Yung-Yi Wang |
collection | DOAJ |
description | The orthogonal frequency division multiple access (OFDMA) technique has been widely employed in sensor networks as the data modulation scheme. This study presents a one-dimensional (1D) space–time signal processing scheme for the joint estimation of direction of arrival (DOA) and carrier frequency offsets (CFOs) in OFDMA uplink systems. The proposed approach, initiated by a one-dimensional ESPRIT algorithm, involves estimating the DOAs of the received signal to identify subscriber positions. Spatial beamformers are then used to suppress multiple access interference and separate each subscriber’s signal from the received signal. The outputs of the spatial beamformer are decimated to estimate the CFO of each subscriber. Compared with conventional two-dimensional parameter estimation algorithms, the proposed one-dimensional algorithm has a higher estimation accuracy and significantly lower computational complexity. |
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format | Article |
id | doaj.art-0ab96c852910479bbed20759775bcd8d |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T08:10:28Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-0ab96c852910479bbed20759775bcd8d2023-11-16T23:10:31ZengMDPI AGSensors1424-82202023-02-01234211510.3390/s23042115Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor NetworksYung-Yi Wang0Jian-Rung Huang1Department of Electrical Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang-Gung University, Tao Yuan 33302, TaiwanDepartment of Electrical Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang-Gung University, Tao Yuan 33302, TaiwanThe orthogonal frequency division multiple access (OFDMA) technique has been widely employed in sensor networks as the data modulation scheme. This study presents a one-dimensional (1D) space–time signal processing scheme for the joint estimation of direction of arrival (DOA) and carrier frequency offsets (CFOs) in OFDMA uplink systems. The proposed approach, initiated by a one-dimensional ESPRIT algorithm, involves estimating the DOAs of the received signal to identify subscriber positions. Spatial beamformers are then used to suppress multiple access interference and separate each subscriber’s signal from the received signal. The outputs of the spatial beamformer are decimated to estimate the CFO of each subscriber. Compared with conventional two-dimensional parameter estimation algorithms, the proposed one-dimensional algorithm has a higher estimation accuracy and significantly lower computational complexity.https://www.mdpi.com/1424-8220/23/4/2115DOA-CFO estimationbeamformingMIMO-OFDMA |
spellingShingle | Yung-Yi Wang Jian-Rung Huang Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor Networks Sensors DOA-CFO estimation beamforming MIMO-OFDMA |
title | Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor Networks |
title_full | Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor Networks |
title_fullStr | Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor Networks |
title_full_unstemmed | Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor Networks |
title_short | Efficient Space–Time Signal Processing Scheme of Frequency Synchronization and Positioning for Sensor Networks |
title_sort | efficient space time signal processing scheme of frequency synchronization and positioning for sensor networks |
topic | DOA-CFO estimation beamforming MIMO-OFDMA |
url | https://www.mdpi.com/1424-8220/23/4/2115 |
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