The problem of parameter estimation and array calibration with sub-Nyquist sampling is studied in this doctoral dissertation.
论文主要研究时间（频率）、空间欠采样条件下的参数估计与阵列校正方法。
The frequency aliasing due to sub-Nyquist sampling can be resolved by the proposed frequency aliasing resolving algorithm and information from the time-delay channel.
文中，欠采样所引入的频率模糊由增加的延迟通道提供的信息加以消除，并提出了相应的频率解模糊算法。
Based on an auxiliary time-delay channel and ESPRIT approach, a new algorithm for wide band frequency estimation with sub-Nyquist sampling was proposed.
为了克服现有的欠采样频率估计方法存在的算法复杂、工程实现困难等问题，本文提出了一种基于虚拟仪器的三采样率切换的频率估计方法。
Based on an auxiliary time-delay channel and ESPRIT approach, a new algorithm for wide band frequency estimation with sub-Nyquist sampling was proposed.
为了克服现有的欠采样频率估计方法存在的算法复杂、工程实现困难等问题，本文提出了一种基于虚拟仪器的三采样率切换的频率估计方法。
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