论文标题
亚nyquist联合启示赛通过压缩间间距 - 低潜伏期方法
Sub-Nyquist Co-Prime Sensing with Compressed Inter-Element Spacing -- Low Latency Approach
论文作者
论文摘要
具有压缩元素间间距（CACIS）的联合选阵阵列是共阵阵列的概括之一。在这种情况下，元素间距可以变化。原型的共阵阵列和嵌套阵列是CACIS方案的特殊情况。本文考虑了先前未解决的问题。为低潜伏期开发了用于CACIS配置的差异集的基础。此外，得出了重量函数的闭合形式表达式（有助于估计自相关的样品的数量）和相关图估计的偏置窗口，这些估计值是以前未知的。理想情况下，偏置窗口应该是冲动。提供了几个示例以及模拟以验证提出的索赔。所有可能的示例对用于估计，可提供低潜伏期。作为一种应用，考虑了临时频谱进行模拟。
Co-prime arrays with compressed inter-element spacing (CACIS) is one of the generalizations of the co-prime array. The inter-element spacing can be varied in this case. The prototype co-prime arrays and nested arrays are a special case of the CACIS scheme. The problems that were not addressed previously are considered in this paper. The fundamentals of the difference set for the CACIS configuration are developed for low latency. In addition, the closed-form expressions for the weight function (number of samples that contribute to estimate the autocorrelation) and bias window of the correlogram estimate, which were previously unknown, are derived. Ideally, the bias window should be an impulse. Several examples are provided along with simulations to verify the claims made. All possible sample pairs are used for estimation, which provides for low latency. As an application, temporal spectrum is considered for simulations.
