Performance Evaluation of Time Synchronization using data aided method for 2X2 MIMO OFDM Systems

This research work presents a synchronization technique with respect to time domain for 2 transmitter and 2 receiver (2X2) Multiple Input Multiple Output(MIMO) Orthogonal Frequency Division Multiplexing(OFDM) systems. It provides the spatial diversity and multiplexing from MIMO with the robustness and efficiency of OFDM modulation. It supports a higher data rate, better resistance to multipath fading and improved reliability compared to single antenna systems. However, the system requires sophisticated signal processing techniques for channel estimation, equalization, and interference management to fully exploit its potential. Synchronization is achieved through synchronization algorithm using trained signals that are transmitted simultaneously by antennas. The synchronization algorithm displays the pulse measurement time as the time obtained between two times, such as time measurement 1 and 128 which shows the correct valuation of the simulation results.

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Published
2025-04-23
DOI
https://doi.org/10.1109/raeeucci63961.2025.11048309
Primary Topic
Network Time Synchronization Technologies
Type
article
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article

Performance Evaluation of Time Synchronization using data aided method for 2X2 MIMO OFDM Systems

J. Kumarnath, S. Sudhakar, C. Chitra
Network Time Synchronization Technologies
article

Performance Evaluation of Time Synchronization using data aided method for 2X2 MIMO OFDM Systems

J. Kumarnath, S. Sudhakar, C. Chitra
article en

Abstract

This research work presents a synchronization technique with respect to time domain for 2 transmitter and 2 receiver (2X2) Multiple Input Multiple Output(MIMO) Orthogonal Frequency Division Multiplexing(OFDM) systems. It provides the spatial diversity and multiplexing from MIMO with the robustness and efficiency of OFDM modulation. It supports a higher data rate, better resistance to multipath fading and improved reliability compared to single antenna systems. However, the system requires sophisticated signal processing techniques for channel estimation, equalization, and interference management to fully exploit its potential. Synchronization is achieved through synchronization algorithm using trained signals that are transmitted simultaneously by antennas. The synchronization algorithm displays the pulse measurement time as the time obtained between two times, such as time measurement 1 and 128 which shows the correct valuation of the simulation results.

Social Service Sericulture Project Trust (IN)
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Network Time Synchronization Technologies
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