Name
Abstract | ||
|---|---|---|
An accurate timing is the prerequisite for establishing communication link. The arbitrarily of the signal's arrival time will lead to sampling quantization errors. In broadband system now widely applied, quantization errors are limited in allowable range thanks to relatively high sampling rate. However, sampling rate in narrowband system is much lower. Increasing sampling rate will add complexity, so a better solution is in urgent need. In this paper, we firstly deduce the mathematical equation of the direct sliding correlator, whose input is a synchronization sequence with sampling delay. After that we analyze the fitting characteristic of the correlator output curve, based on this a feasible parabola curve fitting method is proposed. Finally, the simulation results demonstrate that our proposed optimization method can work better than direct sliding correlator even at a lower sampling rate. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CyberC.2019.00056 | 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) |
Keywords | Field | DocType |
quantization errors,timing detection,narrowband,curve fitting | Synchronization,Narrowband,Curve fitting,Computer science,Sampling (signal processing),Algorithm,Real-time computing,Broadband,Sampling (statistics),Quantization (signal processing),Parabola | Conference |
ISSN | ISBN | Citations |
2475-7020 | 978-1-7281-2543-5 | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |