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CAZACConstant-Amplitude Zero Auto-Correlation (also seen as CA-ZAC)
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The data frame that is received is made of a 16 symbol constant amplitude zero auto correlation (CAZAC) training sequence followed by pseudo random (PN9) useful data.
The motivation for this approach is the importance of constructing constant amplitude zero autocorrelation (CAZAC) sequences in a variety of applications, see Section 1.3 and Section 2.
By assigning values of a length of L' constant amplitude zero auto correlation (CAZAC) sequence T[R]([kappa]) with [absolute value of [T.sup.(i)](]kappa])] = 1 to the allocated subcarriers of each basic sequence, that is,