Maximum-likelihood frame synchronization algorithms for OFDM...

Pulse or digital communications – Systems using alternating or pulsating current – Plural channels for transmission of a single pulse train

Reexamination Certificate

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Reexamination Certificate

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08045636

ABSTRACT:
Autocorrelation algorithms are employed in systems and methods to detect preamble symbols for frame synchronization in WiMAX (Worldwide Interoperability for Microwave Access) or OFDMA (Orthogonal Frequency Division Multiple Access) systems. An ML (“Maximum Likelihood”) estimator estimates segment index and frame timing information for an ideal signal scenario. When using the ML estimator, a received time domain signal is sampled. Groups of samples are formed, and the group is further divided into a plurality of portions. Then, an autocorrelation between time domain samples of each portion results in a maximum value which indicates the start of a preamble of the time domain signal. Frame synchronization can then be performed. In other transmission scenarios, the algorithm is modified to use modified estimators of the preamble symbol location. When using the modified estimators, less than all of the portions of samples are compared to one another to find a maximum value.

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