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针对独立分量分析(ICA)应用于无线通信系统时存在分离信号无法识别和多径混合信号分离难以实现两个问题,提出一种基于通信协议先验信息的半盲ICA算法(Semi-ICA).该算法先利用通信协议帧头中的已知符号来确定分离向量的初始值,然后通过ICA得到最终的分离向量.与基于少量正交训练序列或扩频码的半盲算法相比,Semi-ICA的优势在于利用一般通信系统都具有的协议信息来设计半盲算法,并且不需要同步和估计多径时延,因此适用范围更加广泛.单径和多径信道下的仿真结果表明:Semi-ICA能够解决传统ICA存在的两个问题,比全盲和非盲算法有更好的信干噪比(SINR)性能.
In order to solve the two problems that ICA is not suitable for wireless communication system when it is used in wireless communication system, semi-blind ICA algorithm based on prior information of communication protocol (Semi-ICA) is proposed. The algorithm uses the known symbols in the header of the communication protocol to determine the initial value of the separation vector, and then obtains the final separation vector through ICA.Compared with the semi-blind algorithm based on a small amount of orthogonal training sequences or spreading codes, Semi- The advantages of ICA lie in the fact that the semi-blind algorithm is designed by using the protocol information that all the communication systems have, and it does not need to synchronize and estimate the multipath delay, so the scope of application is more extensive.The simulation results under single and multipath channels show that Semi- ICA can solve two problems of traditional ICA, and has better signal-to-interference-plus-noise ratio (SINR) performance than full blind and non-blind algorithms.