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。
Extending the uniform intersensor spacing beyond a half-wavelength would lead to a set of cyclically ambiguous direction-of-arrival estimates, in accordance with the spatial Nyquist sampling theorem.
按照耐奎斯特空间采样定理，阵元间距超过半波长将会带来方位估计的周期性模糊。
Extending the uniform intersensor spacing beyond a half-wavelength would lead to a set of cyclically ambiguous direction-of-arrival estimates, in accordance with the spatial Nyquist sampling theorem.
按照耐奎斯特空间采样定理，阵元间距超过半波长将会带来方位估计的周期性模糊。
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