The differences on resolution capability and the performance of estimation between beam-space processing and element-space processing are analyzed. Transforming matrices are designed for the consideration of depressing the resolution threshold and estimation variance.
分析比较了波束域处理与阵元域处理的分辨能力以及估计性能，并从降低分辨门限和估计方差角度考虑，给出了转换矩阵的构造方法。
参考来源 - 恒定束宽波束形成及宽带DOA估计应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
在研究波束域高分辨MUSIC算法的基础上，本文把阵元域WSF算法推广到波束域中。
Based on the study of beam space high resolution MUSIC algorithm, we expand the element space weighted subspace fitting (WSF) algorithm into beam space in this paper.
通过仿真分析可知与阵元域高分辨定位方法相比，该方法计算简单，运算量小，而且算法性能更好。
Through analysis we know that compared with array region high resolution, this method has simpler and less amount of calculation as well as better algorithm performance.
数千个神经元紧密排列而组成一个桶状神经元群，因此研究人员把单一神经元群称为[桶]，而整个阵状排列则称为[桶域]。
Thousands of tightly packed neurons made up each barrel-shaped cluster, prompting the researchers to call a single cluster a barrel and the entire matrix the "barrel field."
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