论文标题
在存在抽样抖动的情况下，具有多个时期和差异集分析的共临界传感
Co-Prime Sensing with Multiple Periods and Difference Set Analysis in the Presence of Sampling Jitter
论文作者
论文摘要
具有多个周期的共阵阵列和采样器是一个框架，在该框架中，重复多次共晶体结构。在本文中，分析了采样位置中扰动对具有多个周期的原型共同结构的差异集的影响。基于此分析，提出了一种估计自相关的方法，以最大化从数据中提取的信息量。该优势仅限于采样器，并且在天线阵列中不观察到。得出可供估计的其他贡献者数量的表达式。贡献者随着周期数的增加而增加。另外，在抖动的存在下得出了计算复杂性的表达式。这为硬件实现的乘法数量和增加提供了上限。
Co-prime arrays and samplers with multiple periods is a framework in which the co-prime structure is repeated multiple times. In this paper, the effects of perturbations in sampling locations on the difference set of the prototype co-prime structure with multiple periods is analysed. Based on this analysis, a method to estimate the autocorrelation that maximizes the amount of information extracted from the data is proposed. The advantage is limited only to samplers, and is not observed in antenna arrays. The expression for the number of additional contributors available for estimation is derived. The contributors increase with the increase in the number of periods. In addition, the expressions for the computational complexity are derived in the presence of jitter. This provides an upper bound on the number of multiplications and additions for hardware implementation.
