基于盲源分离的无线视频通信研究与仿真

提出了一种多路视频压缩信号在无线信道中的盲源分离解决方案.该方案选用IEEE 802.11b作为无线通信标准及XviD作为MPEG-4视频压缩方法,建立了一个MPEG-4无线视频传输系统及其仿真模型.该模型用盲源分离方法来解决多个视频信号的分离问题.仿真通过多次比较得出一种基于信号循环平稳性的NWCW-CS,其分离效果最佳及收敛速度最快.仿真结果还表明,该算法可以很好地解决视频信号的混叠问题,视频信号由XviD解压后的图像与原先一致,同时满足视频传输的实时性要求.

Study and simulation of video communication under wireless environment based on blind source separation

Using the method of blind source separation,a new scheme is proposed to separate several compressed video signals transferred in the multiple wireless channels.The scheme selects IEEE 802.11b and XviD compression as the wireless communication channel and the tool of MPEG-4(moving picture expert group4) video compression,respectively.Then a simulation model is made for the video communication under the wireless environment.The model can solve the problem about separating several video signals using blind source separation.After several times of simulation,the conclusion is that NWCW-CS(normalied whiten plus cyclic whiten based on cyclostationary) algorithm,which is based upon the cyclostationary characteristics of signals,has the best separation effect and fast convergence speed. Further simulation results show that this algorithm can solve the mixing problem of video signals perfectly.The image of the transferred video signals,decompressed by XviD,is nearly consistent with the source ones.Besides, the new method meets the requirement of real-time video communication.