关键词: 成对载波多址, 盲分离, 时频域, 互补对称滤波器, 信息不变性

Abstract: For the new asymmetric paired carrier multiple access (APCMA) signal with the station signal bandwidth greater than the main station signal,on the basis of a low-complexity blind separation structure,an efficient blind separation algorithm based on the complementary symmetric filters is proposed.By constructing the complementary symmetric filters,the algorithm decomposes the mixed signal into two component signals in the time-frequency domain,one containing both the main station signal and the station signal,and the other containing only the station signal.Further,it separates the signal component containing the main station signal in the case of the same sample rate.Then,it synchronizes the two signal components under the same parameters,which ensures the additivity and integrity of the station signals in the two signal components after the separation.The experimental results show that compared with the original low-complexity separation algorithm,the proposed algorithm effectively improves the separation performance of the mixed signal.In addition,the complementary symmetric filters with information invariance proposed in this paper have a wide application prospect,which can be used in broadband multi-signal cancellation,channel estimation and spread spectrum detection under covert transmission.

Key words: paired carrier multiple access, blind separation, time-frequency domain, complementary symmetric filters, information invariance