Patent ID: 8514833

Claim:
A scrambling synchronization detection method, comprising: step 1 , retrieving first status information from frame header information of a first data frame, acquiring, according to the first status information, a first identification sequence corresponding to the first status information, so as to generate a Pseudo-Random Binary Sequence (PRBS) corresponding to data frame data to be descrambled according to the first identification sequence, retrieving M pieces of second status information from frame header information of M data frames subsequent to the first data frame, acquiring, according to the M pieces of second status information, M second identification sequences corresponding to the M pieces of second status information, using data frame data corresponding to the M second identification sequences as reference data, retrieving M sections of sample pseudo-random sequences corresponding to the reference data from the generated PRBS, and comparing the M second identification sequences with the M sections of sample pseudo-random sequences, wherein if L second identification sequences in the M second identification sequences are consistent with the corresponding sample pseudo-random sequences, step 1 is performed, and if the M second identification sequences are consistent with the corresponding sample pseudo-random sequences, step 2 is performed, where M is an integer greater than or equal to 1, L is an integer, and 0≦L<M; and step 2 , retrieving N pieces of third status information from frame header information of N data frames, acquiring, according to the N pieces of third status information, N third identification sequences corresponding to the N pieces of third status information, using data frame data corresponding to the N third identification sequences as reference data, retrieving N sections of sample pseudo-random sequences corresponding to the reference data from the generated PRBS, and comparing the N third identification sequences with the N sections of sample pseudo-random sequences, wherein if K third identification sequences in the N third identification sequences are inconsistent with the corresponding sample pseudo-random sequences, step 2 is performed, and if the N third identification sequences are inconsistent with the corresponding sample pseudo-random sequences, step 1 is performed, where N is an integer greater than or equal to 1, K is an integer, and 0≦K<N.