无线电信号协同检测和压缩传感研究

Compressed Cooperative Eigenvalue Spectrum Sensing for Radio Signal

通过无线电监测发现异常无线电发射是无线电管理中的一项重要工作。提出了适用于区域性无线电监测的多节点协同检测和压缩传感模型,并基于软件无线电平台建立多节点监测系统验证了协同检测方法的有效性。结果表明,基于接收信号本征值构造测量统计量,在合适的判决门限下可以获得较高的检测率;在系统中引入压缩传感极大地减少了从传感节点到汇聚节点的数据传输量。这对发展网格化无线电监测网络,实现无线电频谱的精细化管理具有重要意义。

Detecting the abnormal radio emission through radio monitoring is an important task of radio management. A regional cooperative compressed spectrum sensing model is proposed. A multi-node sensing system based on software defined radio platform is built, and the effectiveness of cooperative spectrum sensing is demonstrated. Results show that a high detection probability could be achieved at a suitable decision threshold based on the test statistics extracted from the eigenvalue of the received signal; what＇s more, compressed spectrum sensing employed to the detection system greatly reduced the size of the data transmitted from the sensing nodes to the fusing node. This work will be helpful for the development of large-scale grid radio monitoring network and the finer management of radio spectrum.