论文标题
通过完美的周期性Legendre代码，准分布的纤维传感
Quasi-distributed fiber sensing via perfect periodic Legendre codes
论文作者
论文摘要
基于远程雷利的分布式声传感（DAS）系统的灵敏度和带宽通常受到限制。前者的限制是低反向散射功率和较差的\ textit {动态 - 对光相}转导效率的结果。后一个约束是由于范围和扫描率之间的权衡而产生的，这将抽样间隔限制在传感纤维中最长的延迟。准DAS（Q-DAS）可以产生增强的灵敏度，但对于长途，多传感器系统，仍可能患有低反向散射功率和低扫描率。在这项工作中，我们研究了使用完美的周期性相关代码来询问长途Q-DAS系统。结果表明，对代码参数的明智选择允许检测带宽和从每个传感器反射的功率增加数量级。
Long-range Rayleigh-based Distributed Acoustic Sensing (DAS) systems are often limited in their sensitivity and bandwidth. The former limitation is a result of the low backscattered power and poor \textit{dynamic-strain to optical-phase} transduction efficiency. The latter constraint results from the trade-off between range and scan-rate which limits the sampling interval to the longest delay in the sensing fiber. Quasi-DAS (Q-DAS) can yield enhanced sensitivity but may still suffer from low backscattered power and low scan-rate for long-haul, many-sensor, systems. In this work we study the use of Perfect Periodic Correlation codes for interrogating a long-haul Q-DAS system. It is shown that judicious choice of the code parameters allows order of magnitude increase in detection bandwidths and in the power reflected from each sensor.
