基于加权平均PN互相关的DTMB单频网频谱感知

DTMB single frequency network spectrum sensing based on weighted-averaging PN cross-correlation

该文首次研究了中国地面数字电视广播传输标准(DTMB)单频网(SFN)的频谱感知问题,提出一种基于DT-MB信号独特帧结构的加权平均(WA)伪随机(PN)序列互相关的频谱感知算法。该算法充分考虑了单频网信道具有典型人为强多径的鲜明特征,以对多个互相关峰值进行加权平均处理结果作为频谱感知的判决统计量,与传统的基于PN互相关的仅取相关峰最大值处理作为判决统计量的方法相比,其检测性能从理论上分析更适合于单频网信道下DTMB信号的频谱感知。仿真结果表明,该算法在典型单频网信道(如广电7和广电8信道)下可获得显著的性能改进。

In this paper,in the scenario of Digital Terrestrial/ Television Multimedia Broadcasting（DTMB） Single Frequency Network（SFN） spectrum sensing which is discussed for the first time,a weighted-averaging Pseudo Noise（PN） cross-correlation algorithm has been proposed to take advantage of the special frame structure of DTMB signal.The characteristic of SFN channels which typically consist of strong artificial multipath is well considered in this paper,accordingly the weighted-averaging results of many peaks of cross-correlation are taken as the statistics for spectrum sensing.Compared with the traditional algorithm where only the maximum of PN cross-correlation peaks are taken as the statistics,the proposed algorithm works better for DTMB SFN spectrum sensing theoretically.Simulation results show that the sensing performance is improved obviously under typical SFN channels such as SARFT 7 and SARFT 8 channels.