| 摘要: |
| 在窄带物联网（NB-IoT）系统中，为了正确解调窄带物理广播信道（NPBCH）以获取系统信息，提出了两种NPBCH的盲检测算法，包括常规检测算法和功率检测算法。常规检测算法采用遍历1/2两种发射天线数和8种不同扰码序列的方法进行盲检测，而功率检测算法是在常规检测算法的基础上改进天线端口数的获取方式，主要采用两种天线端口下窄带参考信号（NRS）的功率比值进行判断天线端口数的方法，以降低常规检测算法的计算复杂度。仿真结果表明，当信噪比小于-17 dB时，常规检测算法相比于功率检测算法解调有3~4 dB的增益，检测可靠性能较好；当信噪比大于-17 dB时，两种算法的检测正确率均超过0.98，但功率检测算法较常规检测算法降低了近50%的时间复杂度，更加有利于工程的实践。 |
| 关键词: 窄带物联网（NB-IoT）系统 窄带物理广播信道 盲检测 常规检测 功率检测 |
| DOI： |
|
| 基金项目:国家科技重大专项(2017ZX03001021-004)；重庆市基础与前沿研究计划项目（cstc2016jcyjA0209）；重庆市教委人文社科项目（16SKGH056） |
|
| Blind detection of narrowband physical broadcast channel in NB-IoT systems |
| WANG Dan,LI Anyi,YANG Yanjuan,LONG Yunbo |
| (Chongqing Key Laboratory of Mobile Communications,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
| Abstract: |
| In Narrowband Internet of Things(NB-IoT) systems,in order to decode narrowband physical broadcast channel(NPBCH) correctly and acquire the system information,this paper proposes two detection algorithms for NPBCH,i.e.routine detection and power detection algorithm.The routine detection algorithm tranverses all conditions of 1/2 antenna numbers and 8 different scrambling sequences for blind detection.The power detection algorithm based on the routine detection algorithm improves antenna ports number acquisition method by comparing two antenna ports' narrowband reference signal(NRS) power ratio so as to reduce the computational complexity of the routine detection.From simulation results,the routine detection is more reliable than the power detection algorithm with 3??4 dB gain below -17 dB signal-to-noise ratio(SNR).When the SNR is higher than -17 dB,the accuracy of both algorithms can reach more than 98〖WT《Times New Roman》〗%〖WTBZ〗.However,the power detection algorithm reduces the time complexity of nearly 50% than power algorithm,which is more beneficial for engineering practice. |
| Key words: NB-IoT system narrowband physical broadcast channel blind detection routine detection power detection |
