基于互补对称滤波器的APCMA信号的盲分离算法

针对小站信号带宽大于主站信号的新非对称成对载波多址（Asymmetric Paired Carrier Multiple Access，APCMA）信号背景，在一种低复杂度的盲抵消结构基础上，提出基于互补对称滤波器的盲分离算法.该算法采用互补对称滤波器从时频域上将混合信号分解为同时含主站信号与小站信号，以及只含小站信号的两路分量信号，在保证采样率不变的情况下对含主站信号的信号分量做进一步的信号分离，通过两路分量信号的同步处理确保了分离之后的两路信号分量中小站信号的可加性和完整性.仿真结果表明，与原低复杂度算法相比，本文算法有效地提升了混合信号的分离性能.此外，本文提出的具有信息不变性的互补对称滤波器有较广泛的应用前景，可用于宽带多信号抵消、信道估计以及隐蔽传输下的扩频检测等问题中.

Blind Separation of APCMA Signal Based on Complementary Symmetric Filters

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.