基于PN序列自相关的双门限自适应DTMB频谱感知  

Adaptive Double-Threshold Spectrum Sensing Based on PN Sequence Autocorrelation for DTMB Systems

作　　者：罗子威 王军[1] 潘长勇[1] 朱景晖[2] 李薰春[2] 

机构地区：[1]清华大学电子工程系,北京100084 [2]国家新闻出版广电总局广播科学研究院,北京100866

出　　处：《电讯技术》2015年第6期645-650,共6页Telecommunication Engineering

基　　金：ITU-R 1206标准提案研制项目~~

摘　　要：对于地面电视的模数转换产生宝贵的广播电视"白频谱"资源,频谱感知与检测技术是高效有序地利用频谱资源的基础。在数字电视地面多媒体广播(DTMB)传输系统中,针对传统的基于信号特征的感知算法在检测性能、计算复杂度与灵活性上的不足,提出了一种自适应的DTMB频谱感知算法。该算法以双门限感知检测为基础,在双门限之外采用基于伪随机(PN)序列自相关的算法,在双门限之内采用不等间隔PN序列累积自相关的算法,同时自适应地调整双门限的取值,平衡算法复杂度、感知性能与信道环境的需求。仿真结果表明,该算法在不同的信道条件下能自适应且快速地调整参数,有效提高频谱检测性能,降低算法复杂度。TV white space spectrum from A./D conversion is a kind of valuable resource,and spectrum sens- ing and detecting technology is the key point to the usage of TV white space. Considering conventional algo- rithms＇ shortages of detection performance ,high complexity or flexibility of Digital Television Terrestrial Mul- timedia Broadcasting（ DTMB ） systems, this paper presents an terns. The algorithm is based on double-threshold detection：the adaptive detection algorithm for DTMB sys- pseudo-noise （PN） sequence autocorrelation algorithm is used beyond the two thresholds and the different-interval PN autocorrelation algorithm is used within the two thresholds. Besides,the thresholds can be adjusted adaptively according to channel states to balance the computing complexity, detection performance that the novel algorithm is able to adjust parameters and channel condition. The simulation results prove adaptively and rapidly under different channel condi- tions,thus improving detection performance obviously and reducing the computation complexity.

关 键 词：数字电视地面多媒体广播传输系统 频谱感知 伪随机序列自相关 双门限 自适应算法 

分 类 号：TN911.23[电子电信—通信与信息系统]