Name
Abstract | ||
|---|---|---|
As one of the typical representatives of low-power technology, narrow-band Internet of Things (NB-IoT) is with wide coverage, large capacity, low cost and other characteristics, which is now in its trial commercial stage. On the other hand, timing detection is a prerequisite for establishing a communication link, thus it is of great importance in wireless communication systems, also in NB-IoT systems. Multipath propagation results in inter-symbol interference (ISI) that severely degrades the system performance. As orthogonal frequency-division multiplexing (OFDM) is adopted in NB-IoT systems, ISI can be avoided if the first arrival path is the strongest. However, most of the conventional algorithms use energy as the timing metrics which results in the dominant path is regard as the synchronization point rather than the first path. Moreover, the random arrival time of the received signal makes it difficult to detect the first path precisely. This paper proposed a first-path detection algorithm based on constant amplitude zero auto-correlation (CAZAC) sequences. The probability density function of timing metric was derived, in the light of which a first-path search method was designed, and a constant false alarm rate (CFAR) adaptive threshold was set according to the Neyman-Pearson criterion for accurately first-path estimation. Simulation results show that the proposed algorithm can realized fast and precise detection of the first arrival path in multipath fading channels. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00093 | 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) |
Keywords | Field | DocType |
NB-IoT,OFDM,timing synchronization,first arrival path,CAZAC sequence | Multipath propagation,Synchronization,Computer science,Algorithm,Communication channel,Interference (wave propagation),Constant false alarm rate,Multiplexing,Probability density function,Orthogonal frequency-division multiplexing | Conference |
ISBN | Citations | PageRank |
978-1-7281-3025-5 | 0 | 0.34 |
References | Authors | |
11 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxiang Lv | 1 | 0 | 0.34 |
| Hao Qin | 2 | 0 | 0.34 |
| zhiwei liu | 3 | 8 | 6.86 |
| Yawen Dong | 4 | 0 | 0.34 |
| Wen-Jiang Feng | 5 | 10 | 7.03 |
| Weiyang Xu | 6 | 14 | 6.75 |