该文针对与雷达共存的认知无线电通信系统,为实现通信系统对雷达频段空闲频谱的机会利用,提出一种对转动扫描雷达脉冲串信号的高效协同感知算法。该算法由中心处理节点协同各感知节点进行感知,通过各协作感知节点的相似度判决处理和中心处理节点的基于时序准则判别的数据融合方法,提高了检测概率并降低了虚警概率。相比于现有的雷达信号感知方法,该感知算法无需雷达先验信息,在快速可靠感知雷达脉冲串信号的同时,能够确定雷达的特征参数,如扫描周期、扫描方向、距离等。最后,仿真结果表明了所提算法的有效性和正确性。
For a cognitive radio communication system coexisting with radar to access the radar spectrum opportunistically,an efficient Cooperative Sensing Algorithm(CSA) for swept radar pulse train is proposed.There is a central processing node which cooperates with other sensing nodes to sense a radar spectrum channel.Moreover,the similarity judgment of the single node and data fusion based on time-series identification of the central processing node can greatly improve the probability of detection and reduce the probability of false alarm.Compared to existing methods of sensing radar signal,the proposed algorithm can quickly and reliably detect swept radar pulse train without any prior information on the radar.At the same time,the radar parameters,such as rotation period,scanning direction,distance etc.,can be acquired.Finally,simulation results show the effectiveness and correctness of the algorithm.