盲源分离技术在通信侦察系统中的应用

Application of blind source separation in radio surveillance

针对如何快速、准确地对无线电通信信号进行截获、分离和识别是现代通信侦察的瓶颈,盲源分离对于解决这些难题具有独特的优势。给出了基于盲源分离的无线电通信侦察系统模型,从DoA估计和调制样式识别两方面讨论了盲源分离技术在该领域的应用情况。通过具体的仿真实验,证明了盲源分离应用于通信侦察的正确性和可行性。

How to acquire, separate and identify the radio communication signals quickly and exactly is a bottleneck of modern radio surveillance, and blind source separation （BSS） is suitable for dealing with these problems. The model of the radio surveillance system based on BSS is presented, and two novel applications are discussed, i.e. the direction of-arrival （DoA） estimation and modulation identification. Simulation results show that the BSS solution in radio surveillance is valid and feasible.