Comparative analysis of offset estimation capabilities in mathematical sequencesfor WLAN

In this paper, the performance of different mathematical sequences used for data aided offset estimation in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO OFDM) is analyzed. If the synchronization system uses multiple preambles, side lobes of preamble can degrade timing synchronization performance and care to be taken to minimize them. The synchronization performance of binary sequences PN and Barker are compared with complex exponential CAZAC and Zadoff Chu sequences. The parameters used for evaluation includes timing metric based on Schmidl and Cox algorithm, Minn algorithm and integrated side lobe levels of preambles. As the accurate estimation and correction of timing and frequency offset is a crucial factor in Wireless Local Area Networks (WLAN) using MIMO OFDM, the selection of apt sequences in preamble structure have great importance for maintaining synchronization.

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