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This paper proposes a new testing procedure, namely, the twin test, for performance improvements of initial code acquisition, taking into account several correlated cells at once. We derive a closed-form expression to analytically express the system probabilities in terms of a new function: the extended modified generalized-Q (EMGQ) function. The analytical results, which are substantiated by computer simulations, show that the twin test can offer better performance than the conventional scheme based on the cell-by-cell detection, with a negligible increase in the computational complexity of the system.
Date of Publication: Jun 2013